Young driver crash rates by licensing age, driving experience, and license phase

Perceived vs. actual multitasking abilities: Predicting texting while driving efficacy and behavior from overconfidence

Whereas numerous studies have reported drivers' overconfidence in their driving ability, this study examines overconfidence in one's multitasking abilities operationalized as overestimation (perception relative to one's actual performance) and overplacement (perception relative to others' abilities) as predictors of texting while driving (TWD). This study also examines TWD self-efficacy as an explanatory mechanism for the relationship between overconfidence and TWD. A sample of 611 undergraduate students (34 % male, mean age of 19.52 years) from a southwestern US university completed an online task-switching paradigm to assess their multitasking ability and multiple self-report measures of TWD-related constructs. TWD was also measured using phone application data. Results indicated that overconfidence (both overestimation and overplacement) was more strongly related to TWD self-efficacy than self-efficacy to resist TWD. TWD self-efficacy explained the relationships between overconfidence and TWD. Additionally, TWD self-efficacy predicted self-reported and actual TWD above and beyond self-efficacy to resist TWD and vice versa. Actual multitasking ability was not significantly related to actual or self-reported TWD. Overall, these findings provide evidence for the influence of overconfidence in multitasking and two forms of self-efficacy on TWD. Implications as well as future directions for research are discussed.

Investigating the factors influencing Repeatedly Crash-Involved Drivers (RCIDs): A Random Parameter Hazard-Based Duration approach

Repeatedly Crash-Involved Drivers (RCIDs) pose significant challenges to traffic safety, contributing disproportionately to crash occurrences and their severe consequences. While existing research has explored factors influencing crash involvement, the literature often neglects the influence of a driver's crash history and inter-crash intervals on their evolving crash risk. Additionally, many traditional models fail to address unobserved heterogeneity, limiting their ability to capture the complex interplay of factors contributing to repeated crash involvement. This study investigates the factors influencing RCIDs using a hybrid methodology that integrates machine learning with a Random Parameter Hazard-Based Duration Model (HBDM). Machine learning techniques are employed to identify the most critical factors affecting RCID involvement, which are then incorporated into the HBDM framework. By leveraging machine learning's capacity to analyze complex relationships within high-dimensional data and the HBDM's ability to address unobserved heterogeneity, this approach provides a comprehensive understanding of RCID behavior. Key findings reveal that male drivers, individuals with histories of distracted or alcohol-impaired driving, and those with prior traffic violations exhibit heightened crash risks. Roadway conditions, vehicle age, and regional variations also emerge as significant contributors. Drivers with extensive crash histories demonstrate dynamic risk profiles, with cumulative hazard estimates indicating increased crash likelihood over time for those with multiple prior incidents. Additionally, unobserved heterogeneity (Theta) emphasized latent, driver-specific risk factors, especially in higher-tier drivers, highlighting the complex nature of crash repeating. These findings offer a more nuanced understanding of RCIDs and underscore the need for targeted interventions that account for both observable risks and more profound, unmeasured influences on driver behavior.

Analyzing the time to death of pedestrian fatalities: A copula approach

INTRODUCTION

The study aims to investigate the instant fatality likelihood and time to death (lag time) of pedestrian fatalities using a copula-based joint modeling framework. The upper level model investigates whether or not the pedestrian died instantly, while the lower level model investigates time to death for pedestrians who did not die instantly.

METHOD

The joint model was run on a dataset of 33,615 observations obtained from the Fatality Accident Reporting System for the 2015-2019 period. The effect of roadway and traffic characteristics were investigated on time to death using six copula structures along with their parameterized versions.

RESULTS

Gaussian parameterized copula was found to have the best fit. Weather, Driver age groups, Drunk/ distracted/ drowsy drivers, Hit and Run, Involvement of Large Truck, VRU age group, VRU Gender, Presence of Sidewalk, Presence of Intersection, Light Condition, and Speeding were significant common factors for both sub-models. The factors found to be significant exclusively to one of the sub-models include: Area type for the Binary Logit model, and Presence of Crosswalk and Fire station nearby for the Ordered Logit model.

CONCLUSIONS

Instant fatality likelihood increased and lag time for non-instant fatalities decreased for 16-24 year old drivers, drunk drivers, during hit and run situations, when large trucks were involved, for the elderly pedestrians, for female pedestrians, during dark conditions, and when vehicles were speeding. On the other hand, instant fatality likelihood decreased and lag time for non-instant fatalities increased in adverse weather conditions, for elderly drivers, on sidewalks, at intersections, and during daylight hours.

PRACTICAL APPLICATIONS

Results can be useful to transportation policymakers and practitioners in implementing countermeasures to improve road safety. These include placing sidewalks, various types of crosswalks, traffic calming measures, and adequate artificial lighting in areas frequented by pedestrians. Alcohol and drug testing need to be enforced.

Examining Patterns and Predictors of ADHD Teens' Skill-Learning Trajectories During Enhanced FOrward Concentration and Attention Learning (FOCAL+) Training

OBJECTIVE

Examine patterns and predictors of skill learning during multisession Enhanced FOrward Concentration and Attention Learning (FOCAL+) training.

BACKGROUND

FOCAL+ teaches teens to reduce the duration of off-road glances using real-time error learning. In a randomized controlled trial, teens with ADHD received five sessions of FOCAL+ training and demonstrated significant reductions in extended glances (>2-s) away from the roadway (i.e., long-glances) and a 40% reduced risk of a crash/near-crash event. Teens' improvement in limiting long-glances as assessed after each FOCAL+ training session has not been examined.

METHOD

Licensed teen (ages 16-19) drivers with ADHD (n = 152) were randomly assigned to five sessions of either FOCAL+ or modified standard driver training. Teens completed driving simulation assessments at baseline, after each training session, and 1 month and 6 months posttraining. Naturalistic driving was monitored for one year.

RESULTS

FOCAL+ training produced a 53% maximal reduction in long-glances during postsession simulated driving. The number of sessions needed to achieve maximum performance varied across participants. However, after five FOCAL+ training sessions, number of long-glances was comparable irrespective of when teens achieved their maximum performance. The magnitude of reduction in long-glances predicted levels of long-glances during simulated driving at 1 month and 6 months posttraining but not naturalistic driving outcomes. FOCAL+ training provided the most benefit during training to teens who were younger and had less driving experience.

CONCLUSION

FOCAL+ training significantly reduces long-glances beginning at the 1st training session.

APPLICATION

Providing five FOCAL+ training sessions early on during teen driving may maximize benefit.

Public support for logbooks during the supervised practice driving phase of graduated driver licensing: a national survey of teens and parents in the USA

BACKGROUND

Verification of the completion of supervised practice driving hours for teenagers is challenging. Electronic logbooks could provide an objective alternative to paper logbooks. Factors influencing the adoption of electronic logbooks are poorly understood. We conducted a survey of a nationally representative sample of teenagers and parents in the USA to address these gaps in understanding.

METHODS

The survey was fielded to teenagers who were currently learning to drive or had a full driver's licence, and parents of teenager with a learner's permit or a driver's licence. We measured (1) support for supervised practice driving requirements and logbook requirements, (2) preferences between paper and electronic logbooks and (3) features that would make an electronic logbook useful.

RESULTS

Most parents and teenagers supported both supervised practice driving and logbook requirements. The overwhelming majority of teenagers and parents preferred an electronic logbook over paper. Electronic logbooks that provide (1) summary information about completed drives, (2) parent certification of drives and (3) automatic trip detection were features that were rated most useful by respondents.

DISCUSSION

This is the first study to measure teen and parent support for the logbook format to track supervised practice driving. Public support for electronic logbooks is high, suggesting that policy makers could consider adding an electronic logbook requirement to graduated driver licensing systems to objectively measure completed practice driving hours. Driver educators could also promote the use electronic logbooks to track practice and calibrate behind-the-wheel lessons to the amount of practice driving that has been completed.

Factors Influencing Participation and Engagement in a Teen Safe Driving Intervention: A Qualitative Study

(1) Background: Few teen driving safety programs focus on increasing parental engagement with high-risk teen drivers, specifically those with a traffic violation. This study explored parents'/guardians' ('parents') experiences with a teen driving safety program, ProjectDRIVE, including facilitators and barriers to program engagement. (2) Methods: We conducted virtual, semi-structured interviews with parents who completed ProjectDRIVE, which included in-vehicle driving feedback technology and individualized virtual training with parents on effective parent-teen communication. (3) Results: Twenty interviews (with 17 females and three males) were transcribed verbatim and independently coded by three coders using systematic, open, and focused coding. Three major themes were identified: factors influencing a parent's initial decision to participate, factors influencing continued engagement, and perceived benefits of participation. The decision to participate was influenced by these subthemes: parental motivation to help their teen, perceived program usefulness, program endorsement, program incentives, parents' busy schedules, and lack of access to a car/internet. Subthemes impacting continued engagement included enhanced communication skills, teen willingness to engage, strong parental engagement, and teens' other priorities. Perceived benefits included greater self-efficacy in communication, improved communication patterns and frequency, and enhanced parent-teen relationships. (4) Conclusions: These findings may set the foundation for developing and implementing future court-ordered parent-based teen safe driving programs for teens with traffic citations.

Examining factors affecting driver injury severity in speeding-related crashes: a comparative study across driver age groups

This paper investigates the factors influencing the severity of driver injuries in single-vehicle speeding-related crashes, by comparing different driver age groups. This study employed a random threshold random parameter hierarchical ordered probit model and analysed crash data from Thailand between 2012 and 2017. The findings showed that young drivers face a heightened fatality risk when speeding in passenger cars or pickup trucks, hinting at the role of inexperience and risk-taking behaviours. Old drivers exhibit an increased fatality risk when speeding, especially in rainy conditions, on flush median roads, and during evening peak hours, attributed to reduced reaction times and vulnerability to adverse weather. Both young and elderly drivers face escalated fatality risks when speeding on road segments lacking guardrails during adverse weather, with older drivers being particularly vulnerable in rainy conditions. All age groups show an elevated fatality risk when speeding on barrier median roads, underscoring the significant role of speeding, which increases crash impact and limits margins of error and manoeuvrability, thereby highlighting the need for safety measures focusing on driver behaviour. These findings underscore the critical imperative for interventions addressing not only driver conduct but also road infrastructure, collectively striving to curtail the severity of speeding-related crashes.

Driver's Licensure and Driving Outcomes Among Youths With Mood Disorders

Importance

Mood disorders are prevalent among adolescents and young adults, and their onset often coincides with driving eligibility. The understanding of how mood disorders are associated with youth driving outcomes is limited.

Objective

To examine the association between the presence of a mood disorder and rates of licensing, crashes, violations, and suspensions among adolescents and young adults.

Design, Setting, and Participants

This cohort study was conducted among New Jersey residents who were born 1987 to 2000, age eligible to acquire a driver's license from 2004 to 2017, and patients of the Children's Hospital of Philadelphia network within 2 years of licensure eligibility at age 17 years. The presence of a current (ie, ≤2 years of driving eligibility) mood disorder was identified using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) or International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes. Rates of licensure and driving outcomes among youths who were licensed were compared among 1879 youths with and 84 294 youths without a current mood disorder from 2004 to 2017. Data were analyzed from June 2022 to July 2023.

Main Outcomes and Measures

Acquisition of a driver's license and first involvement as a driver in a police-reported crash and rates of other adverse driving outcomes were assessed. Survival analysis was used to estimate adjusted hazard ratios (aHRs) for licensing and driving outcomes. Adjusted rate ratios (aRRs) were estimated for driving outcomes 12 and 48 months after licensure.

Results

Among 86 173 youths (median [IQR] age at the end of the study, 22.8 [19.7-26.5] years; 42 894 female [49.8%]), there were 1879 youths with and 84 294 youths without a mood disorder. A greater proportion of youths with mood disorders were female (1226 female [65.2%]) compared with those without mood disorders (41 668 female [49.4%]). At 48 months after licensure eligibility, 75.5% (95% CI, 73.3%-77.7%) and 83.8% (95% CI, 83.5%-84.1%) of youths with and without mood disorders, respectively, had acquired a license. Youths with mood disorders were 30% less likely to acquire a license than those without a mood disorder (aHR, 0.70 [95% CI, 0.66-0.74]). Licensed youths with mood disorders had higher overall crash rates than those without mood disorders over the first 48 months of driving (137.8 vs 104.8 crashes per 10 000 driver-months; aRR, 1.19 [95% CI, 1.08-1.31]); licensed youths with mood disorders also had higher rates of moving violations (aRR, 1.25 [95% CI, 1.13-1.38]) and license suspensions (aRR, 1.95 [95% CI, 1.53-2.49]).

Conclusions and Relevance

This study found that youths with mood disorders were less likely to be licensed and had higher rates of adverse driving outcomes than youths without mood disorders. These findings suggest that opportunities may exist to enhance driving mobility in this population and elucidate the mechanisms by which mood disorders are associated with crash risk.

Effectiveness of road safety interventions: An evidence and gap map

Background

Road Traffic injuries (RTI) are among the top ten leading causes of death in the world resulting in 1.35 million deaths every year, about 93% of which occur in low- and middle-income countries (LMICs). Despite several global resolutions to reduce traffic injuries, they have continued to grow in many countries. Many high-income countries have successfully reduced RTI by using a public health approach and implementing evidence-based interventions. As many LMICs develop their highway infrastructure, adopting a similar scientific approach towards road safety is crucial. The evidence also needs to be evaluated to assess external validity because measures that have worked in high-income countries may not translate equally well to other contexts. An evidence gap map for RTI is the first step towards understanding what evidence is available, from where, and the key gaps in knowledge.

Objectives

The objective of this evidence gap map (EGM) is to identify existing evidence from all effectiveness studies and systematic reviews related to road safety interventions. In addition, the EGM identifies gaps in evidence where new primary studies and systematic reviews could add value. This will help direct future research and discussions based on systematic evidence towards the approaches and interventions which are most effective in the road safety sector. This could enable the generation of evidence for informing policy at global, regional or national levels.

Search Methods

The EGM includes systematic reviews and impact evaluations assessing the effect of interventions for RTI reported in academic databases, organization websites, and grey literature sources. The studies were searched up to December 2019.

Selection Criteria

The interventions were divided into five broad categories: (a) human factors (e.g., enforcement or road user education), (b) road design, infrastructure and traffic control, (c) legal and institutional framework, (d) post-crash pre-hospital care, and (e) vehicle factors (except car design for occupant protection) and protective devices. Included studies reported two primary outcomes: fatal crashes and non-fatal injury crashes; and four intermediate outcomes: change in use of seat belts, change in use of helmets, change in speed, and change in alcohol/drug use. Studies were excluded if they did not report injury or fatality as one of the outcomes.

Data Collection and Analysis

The EGM is presented in the form of a matrix with two primary dimensions: interventions (rows) and outcomes (columns). Additional dimensions are country income groups, region, quality level for systematic reviews, type of study design used (e.g., case-control), type of road user studied (e.g., pedestrian, cyclists), age groups, and road type. The EGM is available online where the matrix of interventions and outcomes can be filtered by one or more dimensions. The webpage includes a bibliography of the selected studies and titles and abstracts available for preview. Quality appraisal for systematic reviews was conducted using a critical appraisal tool for systematic reviews, AMSTAR 2.

Main Results

The EGM identified 1859 studies of which 322 were systematic reviews, 7 were protocol studies and 1530 were impact evaluations. Some studies included more than one intervention, outcome, study method, or study region. The studies were distributed among intervention categories as: human factors (n = 771), road design, infrastructure and traffic control (n = 661), legal and institutional framework (n = 424), post-crash pre-hospital care (n = 118) and vehicle factors and protective devices (n = 111). Fatal crashes as outcomes were reported in 1414 records and non-fatal injury crashes in 1252 records. Among the four intermediate outcomes, speed was most commonly reported (n = 298) followed by alcohol (n = 206), use of seatbelts (n = 167), and use of helmets (n = 66). Ninety-six percent of the studies were reported from high-income countries (HIC), 4.5% from upper-middle-income countries, and only 1.4% from lower-middle and low-income countries. There were 25 systematic reviews of high quality, 4 of moderate quality, and 293 of low quality.

Authors' Conclusions

The EGM shows that the distribution of available road safety evidence is skewed across the world. A vast majority of the literature is from HICs. In contrast, only a small fraction of the literature reports on the many LMICs that are fast expanding their road infrastructure, experiencing rapid changes in traffic patterns, and witnessing growth in road injuries. This bias in literature explains why many interventions that are of high importance in the context of LMICs remain poorly studied. Besides, many interventions that have been tested only in HICs may not work equally effectively in LMICs. Another important finding was that a large majority of systematic reviews are of low quality. The scarcity of evidence on many important interventions and lack of good quality evidence-synthesis have significant implications for future road safety research and practice in LMICs. The EGM presented here will help identify priority areas for researchers, while directing practitioners and policy makers towards proven interventions.

Good weather for a ride (or not?): how weather conditions impact road accidents - a case study from Wielkopolska (Poland)

This study offers a likely assessment of extreme meteorological events' impact on human perceptivity, frame of mind or even health during driving which might have had a consequence as a car accident. Research covered an analysis of car accidents during period 2010-2019 in the Wielkopolska (Poland) and four indices like maximum daily temperature, maximum value of humidex, difference between maximum temperatures observed from day to day and also difference between mean atmospheric pressure at the sea level observed from day to day. A distributed lag nonlinear model (DLNM) approach was used to obtain the relationship between these indices and car accidents. Our finding evidence that the "good weather for a ride" conditions are actually generating an increased risk of accidents. For indices related to high temperature, i.e., maximum temperature and humidex, it was possible to identify the critical values by which the risks of car accidents were the highest.

Simulator Driving Abilities, Executive Functions, and Adaptive Behavior Among Adolescents With Complex Attention Deficit Hyperactivity Disorder

OBJECTIVE

To examines the driving skills, executive functions, and adaptive behavior of adolescents diagnosed with Attention-deficit/hyperactivity disorder (ADHD) combined with emotional difficulties and/or learning disabilities (complex ADHD), compared to adolescents without ADHD.

METHOD

A cross-sectional study including 30 adolescents with complex ADHD and 33 adolescents without ADHD aged 15 to 18 years. Driving skills on a simulator, executive functions, and adaptive behavior were evaluated.

RESULTS

Adolescents without ADHD demonstrated significantly higher total scores on the driving simulator, indicating better driving performance compared to adolescents with complex ADHD. In the complex ADHD group, after controlling for different Conners Comprehensive Behavior Rating Scale-Self Report scales, driving simulator scores were partially correlated with executive functions.

CONCLUSION

These findings emphasize the unique needs of adolescents with complex ADHD. Given the significance of driving in today's society, it is crucial to consider the development of intervention programs to support this population's driving skills.

Behind the Wheel: Unraveling the Impact of Experience Over Age Over the First 18 Months of Licensure

OBJECTIVE

This study examined how driving attention develops with age and driving.

METHODS

In this observational longitudinal study, 190 adolescents (53% female, 73% Black) were enrolled across four groups: 16- and 18-year olds with and without driving experience. They underwent driving simulation with eye-tracking technology seven times over 18 months. By using a combination of factorial and longitudinal designs, the study examined the individual and combined effects of age and driving experience on driving attention over time.

RESULTS

Licensed participants had higher odds of glancing at safety-critical events initially (OR = 15.01, 95% CI: 1.36-165.53), but these odds decreased at higher driving speeds (b = -0.17, p<.01). Average glance length decreased over time (b = -0.26, p=.01), but less so in licensed participants (b=0.14, p=.01). Several visual behaviors were influenced by environmental and driving factors.

CONCLUSIONS

Motor vehicle crashes (MVCs) are burdensome and costly to society. This study focused on the role of inattention in MVCs, particularly during the risky period of adolescence. Findings indicated that driving experience, as determined by licensure, had a considerable impact on visual behavior in both the short term (within two weeks of obtaining a license) and over the first 18 months of independent driving. Overall, these findings suggest that licensed adolescents are more likely to identify potential hazards on the road and navigate safely. To ensure effective guidance, pediatric psychologists and other professionals should consider the unique circumstances, needs, and concerns of individual patients.

Executive Functioning as a Predictor of Adverse Driving Outcomes in Teen Drivers With ADHD

OBJECTIVE

The present study examined the association between executive functioning (EF) and risky driving behaviors in teens with ADHD.

METHOD

Teens diagnosed with ADHD (n = 179; Mage = 17.4 years) completed two 15-min drives in a fixed-base driving simulator. EF was assessed using parent- and self-report Behavior Rating Inventory of Executive Functioning (BRIEF-2), a temporal reproduction task, and a Go/No-Go task (GNG). Driving outcomes included known predictors of crashes: count of long (>2 s) off-road glances, standard deviation (SD) of lane position (SDLP), mean speed, and SD speed. Generalized linear mixed models, controlling for intelligence and driving experience, were conducted.

RESULTS

Higher rates of GNG commission errors predicted higher rates of long off-road glances. Lower parent-rated EF and increased rates of GNG omission errors predicted SDLP. Higher rates of GNG commission errors also predicted faster average driving speed.

CONCLUSION

Heterogeneity in EF is associated with differences in teen ADHD risky driving behaviors.

Driving Skills at Licensure and Time to First Crash

BACKGROUND AND OBJECTIVES

Young drivers are overrepresented in crashes, and newly licensed drivers are at high risk, particularly in the months immediately post-licensure. Using a virtual driving assessment (VDA) implemented in the licensing workflow in Ohio, this study examined how driving skills measured at the time of licensure contribute to crash risk post-licensure in newly licensed young drivers.

METHODS

This study examined 16 914 young drivers (<25 years of age) in Ohio who completed the VDA at the time of licensure and their subsequent police-reported crash records. By using the outcome of time to first crash, a Cox proportional hazard model was used to estimate the risk of a crash during the follow-up period as a function of VDA Driving Class (and Skill Cluster) membership.

RESULTS

The best performing No Issues Driving Class had a crash risk 10% lower than average (95% confidence interval [CI] 13% to 6%), whereas the Major Issues with Dangerous Behavior Class had a crash risk 11% higher than average (95% CI 1% to 22%). These results withstood adjusting for covariates (age, sex, and tract-level socioeconomic status indicators). At the same time, drivers licensed at age 18 had a crash risk 16% higher than average (95% CI 6% to 27%).

CONCLUSIONS

This population-level study reveals that driving skills measured at the time of licensure are a predictor of crashes early in licensure, paving the way for better prediction models and targeted, personalized interventions. The authors of future studies should explore time- and exposure-varying risks.

Beyond adaptive cruise control and lane centering control: drivers' mental model of and trust in emerging ADAS technologies

Introduction

The potential safety benefits of advanced driver assistance systems (ADAS) highly rely on drivers' appropriate mental models of and trust in ADAS. Current research mainly focused on drivers' mental model of adaptive cruise control (ACC) and lane centering control (LCC), but rarely investigated drivers' understanding of emerging driving automation functions beyond ACC and LCC.

Methods

To address this research gap, 287 valid responses from ADAS users in the Chinese market, were collected in a survey study targeted toward state-of-the-art ADAS (e.g., autopilot in Tesla). Through cluster analysis, drivers were clustered into four groups based on their knowledge of traditional ACC and LCC functions, knowledge of functions beyond ACC and LCC, and knowledge of ADAS limitations. Predictors of driver grouping were analyzed, and we further modeled drivers' trust in ADAS.

Results

Drivers in general had weak knowledge of LCC functions and functions beyond ACC and LCC, and only 27 (9%) of respondents had a relatively strong mental model of ACC and LCC. At the same time, years of licensure, weekly driving distance, ADAS familiarity, driving style (i.e., planning), and personability (i.e., agreeableness) were associated with drivers' mental model of ADAS. Further, it was found that the mental model of ADAS, vehicle brand, and drivers' age, ADAS experience, driving style (i.e., focus), and personality (i.e., emotional stability) were significant predictors of drivers' trust in ADAS.

Discussion

These findings provide valuable insights for the design of driver education and training programs to improve driving safety with ADAS.

Trial of Training to Reduce Driver Inattention in Teens with ADHD

BACKGROUND

Teens with attention deficit-hyperactivity disorder (ADHD) are at increased risk for motor vehicle collisions. A computerized skills-training program to reduce long glances away from the roadway, a contributor to collision risk, may ameliorate driving risks among teens with ADHD.

METHODS

We evaluated a computerized skills-training program designed to reduce long glances (lasting ≥2 seconds) away from the roadway in drivers 16 to 19 years of age with ADHD. Participants were randomly assigned in a 1:1 ratio to undergo either enhanced Focused Concentration and Attention Learning, a program that targets reduction in the number of long glances (intervention) or enhanced conventional driver's education (control). The primary outcomes were the number of long glances away from the roadway and the standard deviation of lane position, a measure of lateral movements away from the center of the lane, during two 15-minute simulated drives at baseline and at 1 month and 6 months after training. Secondary outcomes were the rates of long glances and collisions or near-collisions involving abrupt changes in vehicle momentum (g-force event), as assessed with in-vehicle recordings over the 1-year period after training.

RESULTS

During simulated driving after training, participants in the intervention group had a mean of 16.5 long glances per drive at 1 month and 15.7 long glances per drive at 6 months, as compared with 28.0 and 27.0 long glances, respectively, in the control group (incidence rate ratio at 1 month, 0.64; 95% confidence interval [CI], 0.52 to 0.76; P<0.001; incidence rate ratio at 6 months, 0.64; 95% CI, 0.52 to 0.76; P<0.001). The standard deviation of lane position (in feet) was 0.98 SD at 1 month and 0.98 SD at 6 months in the intervention group, as compared with 1.20 SD and 1.20 SD, respectively, in the control group (difference at 1 month, -0.21 SD; 95% CI, -0.29 to -0.13; difference at 6 months, -0.22 SD; 95% CI, -0.31 to -0.13; P<0.001 for interaction for both comparisons). During real-world driving over the year after training, the rate of long glances per g-force event was 18.3% in the intervention group and 23.9% in the control group (relative risk, 0.76; 95% CI, 0.61 to 0.92); the rate of collision or near-collision per g-force event was 3.4% and 5.6%, respectively (relative risk, 0.60, 95% CI, 0.41 to 0.89).

CONCLUSIONS

In teens with ADHD, a specially designed computerized simulated-driving program with feedback to reduce long glances away from the roadway reduced the frequency of long glances and lessened variation in lane position as compared with a control program. During real-world driving in the year after training, the rate of collisions and near-collisions was lower in the intervention group. (Funded by the National Institutes of Health; ClinicalTrials.gov number, NCT02848092.).

Why are newly qualified motorists at high crash risk? Modelling driving behaviours across the first six months of driving

OBJECTIVE

Novice driver crash risk diminishes steeply over the first few months of driving. We explore the characteristics of driving over this period to identify behaviours that might underlie this change in risk.

METHODS

We conducted a cross-sectional study of 1456 UK drivers aged 17-21 within six months of gaining their licence. We examined how various forms of driving exposure, such as weekly mileage and driving at night, were related to duration of licencing. We explored the factor structure of the Early Driving Development Questionnaire (EDD-Q); a new instrument designed to measure safety relevant attitudes and behaviours in recently qualified drivers. We examined the relationship of the derived factors to licence duration.

RESULTS

There was little evidence that greater exposure to risky driving situations was more common in those with shorter licence durations. Exploratory and Confirmatory Factor Analyses identified EDD-Q factors measuring risky style (12 items), skill deficiencies (8 items) and driving confidence (4 items). Licence duration was positively correlated with both risky style and confidence, with these relationships stronger for older novices. Licence duration was also negatively related to skill deficiencies (i.e., positively correlated with perceived driving skill development): this relationship was stronger in younger novices.

CONCLUSIONS

The negative correlation between license duration and skill deficiencies is consistent with the observation of decreasing novice crash involvement as experience is gained. The EDD-Q offers a new brief measure of aberrant driving that is specifically tailored for newly qualified drivers.

The role of inexperience in motorcycle crashes among novice and returning motorcycle riders

OBJECTIVES

To examine the crash trends of younger novice and older novice/returning motorcycle riders.

METHODS

We used a linked database of North Carolina crash and licensing data from 1991 through 2018 that included 103,142 younger novice and 98,540 older novice/returning motorcycle riders. We examined the percent of riders who crashed each month after obtaining a motorcycle license.

RESULTS

Crash rates peak for both younger novice and older novice/returning motorcycle riders immediately after licensure. Crash rates decline rapidly, and the rate of decrease resembles a power function. The improvement rate (IR) for younger novice riders is 0.42; that is, the crash rate for younger novices declines by approximately 42% as experience doubles.

CONCLUSION

The crash curve for novice motorcyclists is similar to that of novice car drivers and is consistent with a learning process.

PRACTICAL APPLICATIONS

The crash trends of novice motorcycle riders indicate that current training, licensing, and educational efforts are not adequately preparing new riders. Additional efforts to develop more effective training, and research to inform a well-calibrated graduated licensing process for new riders are needed.

Predicting driving speed from psychological metrics in a virtual reality car driving simulation

Why do some people tend to drive faster than others? Personality characteristics such as the evaluation of risk to oneself or to others, impulsivity, adherence to norms, but also other personal factors such as gender, age, or driving experience all may play a role in determining how fast people drive. Since driving speed is a critical factor underlying accident prevalence, identifying the psychological metrics to predict individual driving speed is an important step that could aid in accident prevention. To investigate this issue, here, we used an immersive virtual reality driving simulation to analyze average driving speed. A total of 124 participants first took a comprehensive set of personality and background questionnaires and a behavioral risk-taking measure. In the virtual reality experiment, participants were required to navigate a difficult driving course in a minimally-restricted, non-urban setting in order to provide baseline results for speed selection. Importantly, we found that sensation seeking and gender significantly predicted the average driving speed, and that sensation seeking and age were able to predict the maximum driving speed.

Novel use of a virtual driving assessment to classify driver skill at the time of licensure

Motor vehicle crash rates are highest immediately after licensure, and driver error is one of the leading causes. Yet, few studies have quantified driving skills at the time of licensure, making it difficult to identify at-risk drivers before independent driving. Using data from a virtual driving assessment implemented into the licensing workflow in Ohio, this study presents the first population-level study classifying degree of skill at the time of licensure and validating these against a measure of on-road performance: license exam outcomes. Principal component and cluster analysis of 33,249 virtual driving assessments identified 20 Skill Clusters that were then grouped into 4 major summary "Driving Classes"; i) No Issues (i.e. careful and skilled drivers); ii) Minor Issues (i.e. an average new driver with minor vehicle control skill deficits); iii) Major Issues (i.e. drivers with more control issues and who take more risks); and iv) Major Issues with Aggression (i.e. drivers with even more control issues and more reckless and risk-taking behavior). Category labels were determined based on patterns of VDA skill deficits alone (i.e. agnostic of the license examination outcome). These Skill Clusters and Driving Classes had different distributions by sex and age, reflecting age-related licensing policies (i.e. those under 18 and subject to GDL and driver education and training), and were differentially associated with subsequent performance on the on-road licensing examination (showing criterion validity). The No Issues and Minor Issues classes had lower than average odds of failing, and the other two more problematic Driving Classes had higher odds of failing. Thus, this study showed that license applicants can be classified based on their driving skills at the time of licensure. Future studies will validate these Skill Cluster classes in relation to their prediction of post-licensure crash outcomes.

Licensing Examination and Crash Outcomes Postlicensure in Young Drivers

IMPORTANCE

Despite US graduated driver licensing laws, young novice driver crash rates remain high. Study findings suggest comprehensive license policy that mandates driver education including behind-the-wheel (BTW) training may reduce crashes postlicensure. However, only 15 states mandate BTW training.

OBJECTIVE

To identify differences in licensing and crash outcomes for drivers younger than 18 years who are subject to comprehensive licensing requirements (graduated driver licensing, driver education, and BTW training) vs those aged 18 to 24 years who are exempt from these requirements.

DESIGN, SETTING, AND PARTICIPANTS

This prospective, population-based cohort study used Ohio licensing data to define a cohort of 2018 license applicants (age 16-24 years, n = 136 643) and tracked licensed driver (n = 129 897) crash outcomes up to 12 months postlicensure. The study was conducted from January 1, 2018, to December 31, 2019, and data analysis was performed from October 7, 2019, to February 11, 2022.

MAIN OUTCOMES AND MEASURES

Licensing examination performance and population-based, police-reported crash rates in the first 2 months and 12 months postlicensure across age groups, sex, and census tract-level sociodemographic variables were measured. Poisson regression models compared newly licensed driver crash rates, with reference to individuals licensed at 18 years, while controlling for census tract-level sociodemographic factors, time spent in the learner permit period, and licensing examination performance measures.

RESULTS

Of 136 643 novice drivers, 69 488 (50.9%) were male and 67 152 (49.1%) were female. Mean (SD) age at enrollment (age at first on-road examination) was 17.7 (2.1) years. License applicants aged 16 and 17 years performed best on license examinations (15 466 [21.6%] and 5112 [30.9%] failing vs 7981 [37.5%] of applicants aged 18 years). Drivers licensed at 18 years had the highest crash rates of all those younger than 25 years. Compared with drivers licensed at 18 years, crash rates were 27% lower in individuals aged 16 years and 14% lower in those aged 17 years during the first 2 months postlicensure when controlling for socioeconomic status, time spent in learner permit status, and license examination performance measures (adjusted relative risk [aRR] at age 16 years: 0.73; 95% CI, 0.67-0.80; age 17 years: aRR, 0.86; 95% CI, 0.77-0.96). At 12 months postlicensure, crash rates were 19% lower for individuals licensed at age 16 years (aRR, 0.81; 95%, CI, 0.77-0.85) and 6% lower at age 17 years (aRR, 0.94; 95% CI, 0.89-0.99) compared with individuals aged 18 years.

CONCLUSIONS AND RELEVANCE

In Ohio, drivers younger than 18 years who are subject to graduated driver licensing and driver education, including BTW training requirements, had lower crash rates in the first year postlicensure compared with those aged 18 years, with controls applied. These findings suggest that it may be fruitful for future work to reconsider the value of mandated driver license policies, including BTW training, and to examine reasons for delayed licensure and barriers to accessing training.

Exploring the effect of road network, demographic, and land use characteristics on teen crash frequency using geographically weighted negative binomial regression

Motor vehicle crashes are one of the leading causes of teen deaths worldwide. It is important to assess the environment and identify the risk factors influencing teen crashes for planning strategies and improving their safety. This research, therefore, focuses on exploring the effect of road network, demographic, and land use characteristics to compute teen crash frequency. Data for 201 spatially distributed road segments in Mecklenburg County, North Carolina, USA were considered for the evaluation. Data related to teen crashes were obtained from the Highway Safety Information System (HSIS). Demographic and land use characteristics were extracted around each selected road segment using two different buffer widths (0.25 miles and 0.5 miles). Teen crash frequency of each road segment was used as the dependent variable. The generalized linear models with the negative binomial distribution (GLM-based NB model) and geographically weighted negative binomial regression models (GWNBR and GWNBRg) were developed and compared. The annual average daily traffic (AADT), light commercial land use, number of household units, and number of pupils enrolled in public or private high schools are significant explanatory variables influencing teen crash frequency. Both methods have good predictive capabilities and can be used to compute teen crash frequency. However, the GWNBR and GWNBRg better capture the spatial dependency and spatial heterogeneity of associated risk factors influencing teen crash frequency.

Vision, Driving Exposure, and Collisions in Bioptic Drivers

SIGNIFICANCE

Lack of knowledge regarding the mileage driven by drivers with low vision who use bioptic telescopes could obscure the relationship between vision and road safety. This study provides data suggesting that worse vision is correlated with less mileage driven but more collisions per mile in bioptic drivers.

PURPOSE

The purpose of this study was to determine whether vision or demographic factors predict mileage driven in bioptic drivers and per-mile motor vehicle collision rate and also to compare the collision rate of bioptic drivers with previous estimates for the general population.

METHODS

Driver data were collected retrospectively from clinic records. Collision data were collected from the Ohio Bureau of Motor Vehicles database. Subjects were also asked to estimate their yearly mileage. Regression models were used to investigate relationships between vision and collision rates.

RESULTS

Seventy-three licensed Ohio bioptic drivers (36 male) were included. Mean ± standard deviation age was 51 ± 16 years. Mean logMAR visual acuity was 0.67 (approximately 20/100). Mean log contrast sensitivity was 1.57. Mean reported annual mileage was 9746. Age, sex, and previous (nonbioptic) driving experience were not associated with mileage. LogMAR visual acuity was inversely related to mileage (P = .02), and contrast sensitivity (P = .01) and horizontal visual field (P = .02) were directly associated with mileage. Visual acuity (P = .02) and visual field (P = .005), but not contrast sensitivity (P = .19), were associated with number of collisions.

CONCLUSIONS

Visual acuity, visual field, and contrast sensitivity were associated with driving exposure in bioptic drivers (with drivers with poorer vision reporting lower annual mileage), and poorer visual acuity and visual field were associated with more collisions. The per-mile collision rate for bioptic drivers was within the range of that previously reported for fully sighted drivers, although higher than would be expected for fully sighted drivers of similar age distribution.

Risky youth to risky adults: Sustained increased risk of crash in the DRIVE study 13 years on

The objective of this study was to investigate if drivers who exhibit risky driving behaviours during youth (aged 17-24 years) have an increased risk of car crash up to 13 years later. We used data from the DRIVE study, a 2003/04 survey of 20,806 young novice drivers in New South Wales, Australia. The data were linked with police crash, hospital and deaths data up to 2016. We analysed differences in crash associated with 13 items of risky driving behaviours using negative binominal regression models adjusted for driver demographics, driving exposure and known crash risk factors. The items were summarised in one index and grouped into quintiles for the analysis. After adjusting for confounding, drivers of the third (RR 1.16, 95% CI 1.05-1.30), fourth (RR1.22, 95% CI1.09-1.36) and fifth quintile (RR 1.36, 95% CI 1.21-1.53) had higher crash rates compared to the lowest risk-takers. Drivers with the highest scores on the risky driving measure had higher rates of crash related hospital admission or death (RR 1.92, 95% CI 1.13-3.27), crashes in wet conditions (RR 1.35,95% CI 1.05-1.73), crashes in darkness (RR 1.55, 95% CI 1.25-1.93) and head-on crashes (RR 2.14, 95% CI 1.07-4.28), compared with drivers with the lowest scores. Novice adolescent drivers who reported high levels of risky driving when they first obtained a driver licence remained at increased risk of crash well into adulthood. Measures that successfully reduce early risky driving, have the potential to substantially reduce road crashes and transport related injuries and deaths over the lifespan.

Trajectories of self-regulatory driving practices: Role of learner phase practice

INTRODUCTION

Previous research suggests that driving practice in diverse contexts may contribute to earlier licensure and improve driving skills among teen drivers. However, few studies have examined the role of practice diversity in driving outcomes post-licensure. Specifically, examining self-regulatory driving practices post-licensure may provide insight into the extent to which teens choose to avoid driving various environments. The current study examined the relationship between learner phase driving practice diversity and teen self-regulatory driving practices over the first six months of licensure.

METHODS

Fifty-six newly licensed 16-year-olds reported pre-licensure practice diversity, driving exposure and, self-regulatory driving practices at three timepoints (within 2 weeks of licensure and at 3 and 6 months post-licensure).

RESULTS

Multi-level models revealed self-regulatory driving practices significantly decreased over the first six months of independent driving. Practice in complex environments (e.g., on a commercial road, on a highway, etc.) was associated with fewer self-regulatory driving practices at baseline. Practice in simple environments (e.g., in a residential area, in a parking lot) was associated with more self-regulatory driving practices at baseline. Practice driving at night and in bad weather conditions predicted greater post-licensure self-regulation of driving in those specific environments.

CONCLUSION

This study reinforces the importance of practice diversity for teens before independent driving, as early practice can have implications for self-regulatory driving practices immediately upon licensure. Future research examining this topic may inform parent-based interventions to maximize teen driver safety during the critical post-licensure period.

Quantifying the effect of roadway, driver, vehicle, and location characteristics on the frequency of longitudinal and lateral accelerations

The purpose of this study is to understand and quantify the simultaneous effects of roadway speed category, driver age, driver gender, vehicle class, and location on the rates of longitudinal and lateral acceleration epochs. The rate of usual as well as harsh acceleration epochs are used to extract insights on driving risk and driver comfort preferences. However, an analysis of acceleration rates at multiple thresholds incorporating various effects while using a large-scale and diverse dataset is missing. This analysis will fill this research gap. Data from the 2nd Strategic Highway Research Program Naturalistic Driving Study (SHRP2 NDS) was used for this analysis. The rate of occurrence of acceleration epochs was modeled using negative binomial distribution based generalized linear mixed effect models. Roadway speed category, driver age, driver gender, vehicle class, and location were used as the fixed effects and the driver identifier was used as the random effect. Incidence rate ratios were then calculated to compare subcategories of each fixed effect. Roadway speed category has the strongest effect on longitudinal and lateral accelerations of all magnitudes. Acceleration epoch rates consistently decrease as the roadway speed category increases. The difference in the rates depends on the threshold and is up to three orders of magnitude. Driver age is another significant factor with clear trends for longitudinal and lateral acceleration epochs. Younger and older drivers experience higher rates of longitudinal accelerations and decelerations. However, the rate of lateral accelerations consistently decreases with age. Vehicle class also has a significant effect on the rate of harsh accelerations with minivans consistently experiencing lower rates.

Does geographic location matter for transportation risk behaviors among U.S. public high school students?

Introduction

Teen motor vehicle crash fatality rates differ by geographic location. Studies assessing teen transportation risk behaviors by location are inconclusive. Therefore, we explored the role of census region and metropolitan status for driving prevalence and four transportation risk behaviors among U.S. public high school students.

Methods

Data from 2015 and 2017 national Youth Risk Behavior Surveys were combined and analyzed. Multivariable models controlled for sex, age, race/ethnicity, grades in school, and school socioeconomic status.

Results

Overall, 41% of students did not always wear a seat belt. Students attending schools in the Northeast were 40% more likely than those in the Midwest to not always wear a seat belt. Among the 75% of students aged ≥16 years who had driven during the past 30 days, 47% texted/e-mailed while driving. Students in the Northeast were 20% less likely than those in the Midwest to text/e-mail while driving, and students attending suburban or town schools were more likely to text/e-mail while driving (20% and 30%, respectively) than students attending urban schools. Nineteen percent of students rode with a driver who had been drinking alcohol, and 7% of drivers aged ≥16 years drove when they had been drinking alcohol, with no significant differences by location for either alcohol-related behavior.

Conclusions

We found few differences in teen transportation risk behaviors by census region or metropolitan status. Age at licensure, time since licensure, driving experience, and the policy and physical driving environment might contribute more to variation in teen fatal crashes by location than differences in transportation risk behaviors. Regardless of location, teen transportation risk behaviors remain high. Future research could address developing effective strategies to reduce teen cell phone use while driving and enhancing community implementation of existing, effective strategies to improve seat belt use and reduce alcohol consumption and driving after drinking alcohol.

Evaluating a smartphone application to increase the quantity and improve the quality of supervised practice driving

BACKGROUND

The learner stage of graduated driver licensing (GDL), when teenagers are supervised by an adult driver, represents an opportunity to develop skills that could confer a safety benefit during their years of independent driving. This paper describes the design of a teenage driving study, which aims to evaluate the impact of a smartphone application, the 'DrivingApp,' to increase the quantity and improve the quality of supervised practice driving.

METHODS

This longitudinal intervention study of teenage drivers and a parent/guardian spans the final 6 months of the learner licence and the first year of independent driving. Participants will be assigned to experimental or control groups using block allocation. Parent-teenage dyads assigned to the intervention arm will receive information about their practice driving via a smartphone application, including miles driven and total drive time. Baseline and monthly surveys will be administered to both experimental and control participants to measure the outcome measures during the learner stage: (1) practice driving amount, (2) consistency and (3) variety. Outcomes during independent driving are (1) self-reported number of attempts at the driving test and (2) number of crashes during the first year of independent driving.

DISCUSSION

Improving the quality of teenagers' supervised practice driving is an unmet research need. This study will contribute to the evidence about what can be done during the learner period of GDL to maximise teenage drivers' safety during the first years of independent driving, when crash risk is highest.

Tools for Transport: Driven to Learn With Connected Vehicles

Vehicle automation and assistance technologies have been touted as a means to reduce traffic collisions by minimizing or eliminating "error-prone" and inefficient human operators. In concept, automation exists on a continuum that includes engaged driving by a human operator augmented by automated support features, vigilant driver monitoring of vehicle behavior with the possibility of driver take-over, to full automation with no active monitoring by a human operator. Moreover, the degree of automation varies by vehicle features (e.g., lane centering, emergency braking, adaptive cruise control, parking), by setting, meaning that automated features may or may not be available depending on specific attributes of the traffic environment (e.g., traffic volume, road geometry, etc), and by implementation (e.g., haptic vs. auditory warnings). Thus, these automotive "transportation tools" are highly heterogeneous and pose unique challenges and opportunities for driver training. In this paper, we report the results of an experimental study (n = 36) to determine if enhanced vehicle feedback influences driver trust, effort, frustration, and performance (indexed by reaction time) in a virtual driving environment. Results are contextualized in the extant literature on learning to operate motor vehicles and outline key research questions essential for understanding the processes by which skilled performance develops with respect to a real-world practical tool: the increasingly automated automobile.

Changes in Driving Behaviors After Concussion in Adolescents

PURPOSE

Although return to learn, exercise, and sports have evidence-based guidelines, there is limited research investigating return to driving after concussion. The purpose was to characterize and compare adolescent driving behaviors after concussion.

METHODS

Using the Minds Matter Concussion Registry, we queried data of adolescents, aged 16-19 years, diagnosed with a concussion ≤28 days of injury and seen between January 31, 2017 and August 31, 2018 at the specialty care concussion program. Outcomes included patient report of: changes postinjury driving behaviors; Post-Concussion Symptom Inventory; return to school, and exercise and sports. Provider recommendations for return to school after initial clinical assessment were also examined. Descriptive statistics, analysis of covariance, and chi-square tests were performed.

RESULTS

Of the 332 drivers (46.1% female; mean age 17.5 years, 95% confidence interval [CI], 17.4-17.6), 46.9% had returned to driving since injury. Of those who returned to driving, 58.9% reported "Driving with No Changes." The Post-Concussion Symptom Inventory score was higher among "Driving with Changes" (48.7, 95% CI: 42.2-55.2) than "Driving with No Changes" (27.4, 95% CI: 22.3-32.5, p < .01) and "Has Not Driven Since Injury" (42.3, 95% CI: 38.4-46.3, p < .01). Among the 332 drivers, few had returned to exercise (15.4%) or organized sports (6.0%). Of those in school (n = 291), only 8.9% were provider recommended to return to full school days after clinical assessment.

CONCLUSION

Many adolescents continued to drive after concussion, despite not yet having returned to exercise or sport. Nine of 10 were advised to return to school with accommodations to begin a gradual increase in cognitive activity, suggesting a gradual increase in driving may be justified.

Sentiment analysis of popular-music references to automobiles, 1950s to 2010s

In recent years, there has been a scholarly debate regarding the decrease in automobile-related mobility indicators (car ownership, driving license holding, VMT, etc.). Broadly speaking, two theories have been put forward to explain this trend: (1) economic factors whose impacts are well-understood in principle, but whose occurrence among young adults as a demographic sub-group had been overlooked, and (2) less well-understood shifts in cultural mores, values and sentiment towards the automobile. This second theory is devilishly difficult to study, due primarily to limitations in standard data resources such as the National Household Travel Survey and international peer datasets. In this study we first compiled a database of lyrics to popular music songs from 1956 to 2015 (defined by inclusion in the annual "top 40"), and subsequently identified references to automobiles within this corpus. We then evaluated whether there is support for theory #2 above within popular music, by looking at changes from the 1950s to the 2010s. We demonstrate that the frequency of references to automobility tended for many years to increase over time, however there has more recently been a decline after the late 2000s (decade). In terms of the sentiment of popular music lyrics that reference automobiles, our results are mixed as to whether the references are becoming increasingly positive or negative (machine analysis suggests increasing negativity, while human analysis did not find a significant association), however a consistent observation is that sentiment of automobile references have over time become more positive relative to sentiment of song lyrics overall. We also show that sentiment towards automobile references differs systematically by genre, e.g. automobile references within 'Rock' lyrics are in general more negative than similar references to cars in other music genres). The data generated on this project have been archived and made available open access for use by future researchers; details are in the full paper.

Advancing our understanding of cognitive development and motor vehicle crash risk: A multiverse representation analysis

Neurobiological and cognitive maturational models are the dominant theoretical account of adolescents' risk-taking behavior. Both the protracted development of working memory (WM) through adolescence, as well as individual differences in WM capacity have been theorized to be related to risk-taking behavior, including reckless driving. In a cohort study of 84 adolescent drivers Walshe et al. (2019) found adolescents who crashed had an attenuated trajectory of WM growth compared to adolescent drivers who never reported being in a crash, but observed no difference in WM capacity at baseline. The objectives of this report were to attempt to replicate these associations and to evaluate their robustness using a hybrid multiverse - specification curve analysis approach, henceforth called multiverse representation analysis (MRA). The authors of the original report provided their data: 84 adolescent drivers with annual evaluations of WM and other risk factors from 2005 to 2013, and of driving experiences in 2015. The original analysis was implemented as described in the original report. An MRA approach was used to evaluate the robustness of the association between developmental trajectories of WM and adolescents' risk-taking (indexed by motor vehicle crash involvement) to different reasonable methodological choices. We enumerated 6 reasonable choice points in data processing-analysis configurations: (1) model type: latent growth or multi-level regression, (2) treatment of WM data; (3) which waves are included; (4) covariate treatment; (5) how time is coded; and (6) link function/estimation method: weighted least squares means and variance estimation (WLSMV) with a linear link versus logistic regression with maximum likelihood estimation. This multiverse consists of 96 latent growth models and 18 multi-level regression models.

Longitudinal associations between internalizing symptoms and driving avoidance in newly licensed adolescents

BACKGROUND

Extensive literature assesses risky adolescent driving, but nothing examines what makes teens avoid driving. Many assume teenagers are eager to drive, but evidence suggests internalizing symptoms lead some to avoid driving.

AIMS

This study tested whether depressive and anxious symptomology predicted longitudinal driving avoidance in novice teen drivers.

MATERIALS AND METHODS

N = 56 16-year-olds (52% female; 48% Black/African American) completed three observations over 6 months. At Time 1, participants reported depressive (Center for Epidemiological Studies Depression 10-item Scale) and anxious (Generalized Anxiety Disorder 7-item Scale) symptomologies, and driving avoidance (Driving Habits Questionnaire [DHQ]), repeating DHQ at Times 2 and 3. Multiple linear regression tested whether symptomologies predicted avoidance at licensure. Linear mixed models tested associations between symptomologies and avoidance over time.

RESULTS

High anxiety predicted greater avoidance at baseline and over 6 months. Depressive symptoms did not predict avoidance.

DISCUSSION

Findings warrant an assessment of anxious adolescents' barriers to driving and avoidance impacts on crash risk.

Association between Crash Attributes and Drivers' Crash Involvement: A Study Based on Police-Reported Crash Data

Understanding the association between crash attributes and drivers’ crash involvement in different types of crashes can help figure out the causation of crashes. The aim of this study was to examine the involvement in different types of crashes for drivers from different age groups, by using the police-reported crash data from 2014 to 2016 in Shenzhen, China. A synthetic minority oversampling technique (SMOTE) together with edited nearest neighbors (ENN) were used to solve the data imbalance problem caused by the lack of crash records of older drivers. Logistic regression was utilized to estimate the probability of a certain type of crashes, and odds ratios that were calculated based on the logistic regression results were used to quantify the association between crash attributes and drivers’ crash involvement in different types of crashes. Results showed that drivers’ involvement patterns in different crash types were affected by different factors, and the involvement patterns differed among the examined age groups. Knowledge generated from the present study could help improve the development of countermeasures for driving safety enhancement.

An examination of teen drivers' car-following behavior under naturalistic driving conditions: With and without an advanced driving assistance system

Teen drivers are overrepresented in motor vehicle crashes, and most studies concluded it was mainly due to their lack of experiences and tendencies of risk-taking. The design of advanced driving assistance systems (ADAS) aims to provide assistance in multiple stages in human information processing during driving, including environmental sensing, information processing, decision making, and vehicle controlling, in order to improve driving safety. It is expected that novice drivers may benefit more from using ADAS than adult drivers as such technologies can compensate for their frequent errors. This study examined whether and how an integrated crash warning system impacted on drivers' following behavior, and what were the corresponding age-related differences through an analysis of two unique naturalistic driving study datasets. Significant age-related differences in car-following behavior were found. Results showed potential negative effects of ADAS on teen drivers' following behavior that teen drivers tended to have less controlled pedal use during treatment weeks with ADAS than during baseline weeks without ADAS, while such behavior was not observed in adult drivers. All adult drivers tended to keep longer headways when driving at night than during daytime to compensate for poor vision conditions, but no such compensation behavior was observed in the teens. In addition, teen and young-adult drivers had more aggressive following behavior (with shorter mean time headway) than middle-aged and older drivers. One limitation of this study is that the findings of this study are only addressing the short-term effect of ADAS exposure, and future studies are needed to examine the longitudinal effect. The findings of this study suggest that the design of future ADAS should consider minimizing potential negative impacts on teen driver behavior.

A Novel Health-Transportation Partnership Paves The Road For Young Driver Safety Through Virtual Assessment

Motor vehicle crashes remain the leading cause of adolescent mortality and injury in the United States. For young drivers, crash risk peaks immediately after licensure and declines during the next two years, making the point of licensure an important safety intervention opportunity. Legislation in Ohio established a unique health-transportation partnership among the State of Ohio, Children's Hospital of Philadelphia, and Diagnostic Driving, Inc., to identify underprepared driver license applicants through a virtual driving assessment system. The system, a computer-based virtual driving test, exposes drivers to common serious crash scenarios to identify critical skill deficits and is delivered in testing centers immediately before the on-road examination. A pilot study of license applicants who completed it showed that the virtual driving assessment system accurately predicted which drivers would fail the on-road examination and provided automated feedback that informed drivers on their skill deficits. At this time, the partnership's work is informing policy changes around integrating the virtual driving assessment system into licensing and driver training with the aim of reducing crashes in the first months of independent driving. The system can be developed to identify deficits in safety-critical skills that lead to crashes in new drivers and to address challenges that the coronavirus disease 2019 pandemic has introduced to driver testing and training.

Initial Testing of a Web-Based Intervention to Reduce Adolescent Driver Inattention: A Randomized Controlled Trial

INTRODUCTION

Motor vehicle crashes are the leading cause of adolescent death. Inattention to the roadway contributes to crash risk. The objective of this study was to deploy an initial study of a web-based intervention (Let's Choose Ourselves) designed to improve adolescent driver attention to the roadway.

METHODS

We used a randomized controlled trial design in a sample of adolescent drivers to test if a web-based intervention decreased cell phone engagement in driving simulation at 3 months as compared with controls. As secondary hypotheses, we tested if the intervention increased the use of peer passengers to manage distractions and decreased eyes off the forward roadway in driving simulation and decreased self-reported risky driving behaviors. Adolescents, aged 16-17 years, licensed for ≤90 days were randomized to Let's Choose Ourselves with distractions in the simulator protocol at baseline, Let's Choose Ourselves with no distractions, an attention control intervention on healthy eating with distractions, or attention control with no distractions. We used Poisson regression modeling to test the primary and secondary hypotheses.

RESULTS

The trial included 60 adolescents (66.7% female, 78.3% non-Hispanic white subjects, mean age 16.8 years, licensed 50.8 days). In Poisson regression, controlling for sex, we found no significant effects of Let's Choose Ourselves on primary or secondary outcomes. However, there was a significant effect of visit on self-report outcomes, with self-reported distracted driving behaviors increasing over time.

DISCUSSION

Although there were no significant effects of Let's Choose Ourselves, self-reported risky driving behaviors increased over time. Further investigation of the relationship between driving experience and increasing inattention to the road in adolescents is warranted.

The effect of extending graduated driver licensing to older novice drivers in Indiana

INTRODUCTION

Graduated driver licensing (GDL) systems have been shown to reduce rates of crashes, injuries, and deaths of young novice drivers. However, approximately one in three new drivers in the United States obtain their first driver's license at age 18 or older, and thus are exempt from most or all provisions of GDL in most states.

METHOD

In July 2015, the state of Indiana updated its GDL program, extending its restrictions on driving at night and on carrying passengers during the first 6 months of independent driving, previously only applicable to new drivers younger than 18, to all newly-licensed drivers younger than 21 years of age. The current study examined monthly rates of crashes per licensed driver under the affected conditions (driving at night and driving with passengers) among Indiana drivers first licensed at ages 18, 19, and 20 under the updated GDL system compared with drivers licensed at the same ages under the previous GDL system. We used Poisson regression to estimate the association between the GDL system and crash rates, while attempting to control for other factors that might have also influenced crash rates. We used linear regression to estimate the association between the GDL system and the proportion of all crashes that occurred under conditions restricted by the GDL program.

RESULTS

Results showed, contrary to expectations, that rates of crashes during restricted nighttime hours and with passengers were higher among drivers licensed under the updated GDL system. This mirrored a statewide increase in crash rates among drivers of all ages over the study period and likely reflected increased overall driving exposure. The proportions of all crashes that were at night or with passengers did not change. Practical Applications: More research is needed to understand how older novice drivers respond when GDL systems originally designed for younger novice drivers are applied to them.

Use of theory to guide development and application of sensor technologies in Nursing

Sensor technologies for health care, research, and consumers have expanded and evolved rapidly. Many technologies developed in commercial or engineering spaces, lack theoretical grounding and scientific evidence to support their need, safety, and efficacy. Theory is a mechanism for synthesizing and guiding knowledge generation for the discipline of nursing, including the design, implementation, and evaluation of sensors and related technologies such as artificial intelligence and machine learning. In this paper, three nurse scientists summarize their presentations at the Council for the Advancement of Nursing Science 2019 Advanced Methods Conference on Expanding Science of Sensor Technology in Research discussing the theoretical underpinnings of sensor technologies development and use in nursing research and practice. Multiple theories with diverse epistemological roots guide decision-making about whether or not to apply sensors to a given use; development of, components of, and mechanisms by which sensor technologies are expected to work; and possible outcomes.

Learner Driver Experience and Teenagers' Crash Risk During the First Year of Independent Driving

IMPORTANCE

One mechanism for teenagers' elevated crash risk during independent driving may be inadequate learner driving experience.

OBJECTIVE

To determine how learner driver experience was associated with crash risk during the first year of independent driving.

DESIGN, SETTING, AND PARTICIPANTS

Youth aged 15.5 to 16.1 years at recruitment were eligible to participate. Participants' vehicles were instrumented with sensors, and driving was recorded during the learner period through 1 year of independent driving. Data were collected from January 2011 through August 2014 in southwestern Virginia.

EXPOSURES

The amount, consistency and variety of practice, driving errors, and kinematic risky driving (KRD) rates during the learner period were recorded. Surveys, including one on sensation-seeking personality traits, were assessed at baseline.

MAIN OUTCOMES AND MEASURES

Cox proportional hazard regressions examined associations between individual characteristics and learner driving experience with driving time to first crash and all crashes in the first year of independent driving. So that hazard ratios (HRs) can be directly comparable, units of measurement were standardized to the interquartile range.

RESULTS

Of 298 individuals who responded to recruitment, 90 fulfilled the criteria and 82 completed the study (of whom 75 were white [91%] and 44 were girls [54%]). Teenage participants drove a mean (SD) of 1259.2 (939.7) miles over 89 days during the learner period. There were 49 property-damage crashes and/or police-reportable crashes during independent driving. Factors associated with driving time to first crash included higher sensation-seeking personality scale scores (HR, 1.67 [95% CI, 1.08-2.57] per 0.75-unit increase), learner driving KRD rates (HR, 1.27 [95% CI, 1.12-1.43] per 9.24-unit increase), and learner driving errors (HR, 0.44 [95% CI, 0.22-0.86] per increase of 6.48 errors). Similar results were obtained for all crashes in the first year, with the addition of consistency of learner driving practice (HR, 0.61 [95% CI, 0.38-0.99] per 0.23-unit increase).

CONCLUSIONS AND RELEVANCE

Individual characteristics and learner driving experiences were associated with crash risk during independent driving. As expected, there was an association between sensation seeking and crashes. Elevated KRD rates during the learner period may reflect risky driving behavior among novices or tolerance to abrupt maneuvers by parents who supervise driving. Consistent practice throughout the learner period could reduce teenage crash risk, which is supported by learning theories indicating distributed practice is effective for developing expertise. Errors during practice may constitute learning events that reinforce safer driving. Physicians could encourage parents to provide opportunities for regular practice driving and monitor their teenager's KRD rates during the learner period using in-vehicle or smartphone-based technology.

Risk Assessment of Commercial dangerous -goods truck drivers using geo-location data: A case study in China

The primary objective of this study is to understand the relationship between driving risk of commercial dangerous-goods truck (CDT) and exposure factors and find a way to evaluate the risk of specific transportation environment, such as specific transportation route. Due to increasing transportation demand and potential threat to public, commercial dangerous goods transportation (CDGT) has drawn attention from decision makers and researchers within governmental and non-governmental safety organization. However, there are few studies focusing on driving risk assessment of commercial dangerous-goods truck by environmental factors. In this paper we employ survival analysis methods to analyze the impact of risk exposure factors on non-accident mileage of commercial dangerous-good truck and assess risk level of specific driving environment. Using raw location data from six transportation companies in China, we derive a set of 17 risk exposure factors that we use for model parameters estimation. The survival model and hazard model were estimated using the Weibull distribution as the baseline distribution. The results show that four factors - weather, traffic flow, travel time and average velocity have a significant impact on the non-accident mileage of driver in this company, and the assessment results of survival function and hazard function are robust to the different levels of testing data. The employment time has some effect on the results but does not result in a significant difference in most cases, and the task stability has little impact on the results. The findings of this study should be useful for decision makers and transportation companies to better risk assessment of CDT.

Socio-demographic and experience factors affecting drivers' runoff risk along horizontal curves of two-lane rural highway

INTRODUCTION

An improper driving strategy is one of the causative factors for a high probability of runoff and overturning crashes along the horizontal curves of two-lane highways. The socio-demographic and driving experience factors of a driver do influence driving strategy. Hence, this paper explored the effect of these factors on the driver's runoff risk along the horizontal curves.

METHOD

The driving performance data of 48 drivers along 52 horizontal curves was recorded in a fixed-base driving simulator. The driving performance index was estimated from the weighted lateral acceleration profile of each driver along a horizontal curve. It was clustered and compared with the actual runoff events observed during the experiment. It yielded high, moderate, and low-risk clusters. Using cross-tabulation, each risk cluster was compared with the socio-demographic and experience factors. Further, generalized mixed logistic regression models were developed to predict the high-risk and high to moderate risk events.

RESULTS

The age and experience of drivers are the influencing factors for runoff crash. The high-risk event percentage for mid-age drivers decreases with an increase in driving experience. For younger drivers, it increases initially but decreases afterwards. The generalized mixed logistic regression models identified young drivers with mid and high experience and mid-age drivers with low-experience as the high-risk groups.

CONCLUSIONS

The proposed index parameter is effective in identifying the risk associated with horizontal curves. Driver training program focusing on the horizontal curve negotiation skills and graduated driver licensing could help the high-risk groups. Practical applications: The proposed index parameter can evaluate driving behavior at the horizontal curves. Driving behavior of high-risk groups could be considered in highway geometric design. Motor-vehicle agencies, advanced driver assistance systems manufacturers, and insurance agencies can use proposed index parameter to identify the high-risk drivers for their perusal.

Catalyzing traffic safety advancements via data linkage: Development of the New Jersey Safety and Health Outcomes (NJ-SHO) data warehouse

Objective: Our objective is to describe the development of the New Jersey Safety and Health Outcomes (NJ-SHO) data warehouse, a unique and comprehensive data source that integrates various state-level administrative databases in New Jersey to enable the field of traffic safety to address critical, high-priority research questions.Methods: We have obtained full identifiable data from the following statewide administrative databases for the state of New Jersey: (1) driver licensing database; (2) Administration Office of the Courts data on traffic-related citations; (3) police-reported crash database; (4) birth certificate data; (5) death certificate data; and (6) hospital discharge data as well as (7) childhood electronic records from New Jersey residents who were patients of the Children's Hospital of Philadelphia pediatric health care network and (8) census tract-level indicators. We undertook an iterative process to develop a linkage algorithm in LinkSolv 9.0 software using records for individuals born in select birth years (1987 and 1988) and subsequently execute the linkage for the entire study period (2004-2017). Several metrics were used to evaluate the quality of the linkage process.Results: We identified a total of 62,685,619 records and 19,247,363 distinct individuals; 10,352,998 of these individuals had more than one record brought together during the linkage process. Our evaluation of this linkage suggests that the linkage was of high quality.Conclusions: The resulting NJ-SHO data warehouse will be one of the most comprehensive and rich traffic safety data warehouses to date. The warehouse has already been utilized for numerous studies and will be fully primed to support a host of rigorous studies, both in and beyond the field of traffic safety.

Novice drivers’ experiences of parental encouragement with road rules in Queensland: Scope for a third party policing approach?

This study explored whether a third party policing approach is appropriate for increasing young driver compliance with graduated driver licensing restrictions. Focus groups (n = 3) and semi-structured interviews (n = 24) were conducted with young drivers from Brisbane, Queensland, Australia. Participants (n = 39 in total) were aged 17 to 19 years and held a Provisional 1 or 2 licence. Many young drivers appreciated the involvement of their parents in their novice driving period and reported that parents provided practical support and planning strategies. There is potential for the use of a third party policing intervention to improve compliance amongst young drivers.

Association between higher-order driving instruction and risky driving behaviours: Exploring the mediating effects of a self-regulated safety orientation

Adolescents' risky driving behaviours contribute to their over-representation in road trauma. Higher-order driving instruction is suggested to reduce such behaviours. To sustain positive behaviours in the long-term, self-determination theory identifies self-regulation as fundamental. The current research explored associations between higher-order driving instruction, risky driving behaviours, and a self-regulated safety orientation. Learner drivers (n = 544), aged 16-19 years, responded to a 91-item survey. Self-regulated safety orientation was found to fully mediate the relationship between higher-order driving instruction and inattentive risky driving behaviours, and between anticipatory higher-order driving instruction and intentional risky driving behaviours. A partial mediation was found between self-regulatory higher-order instruction and intentional risky driving behaviours. These results support that higher-order driving instruction, delivered to develop a self-regulated safety orientation, has potential to reduce young novice drivers' risky driving behaviours. Further research is recommended to triangulate these results through direct observation and longitudinal evaluation.

Working Memory Development and Motor Vehicle Crashes in Young Drivers

IMPORTANCE

Adolescent drivers have the highest rate of motor vehicle crashes, and among equally novice drivers, crash risk is inversely age graded. Working memory (WM), crucial to driving hazard awareness, is also age graded, with ongoing development into late adolescence. Variability in WM capacity and growth trajectory positions WM as a candidate crash risk factor for study, clinical screening, and possible preventative intervention.

OBJECTIVE

To test the association between crashes and differential WM development.

DESIGN, SETTING, AND PARTICIPANTS

This prospective cohort study used data from a longitudinal cohort of 118 community youth in Philadelphia, Pennsylvania. Working memory and other risk factors were measured annually from age 11 to 13 years (prelicensure, in 2005) to 14 to 16 years (in 2009), and again at 18 to 20 years (in 2013). In 2015, a follow-up survey of driving experience identified 84 participants who had started driving. Latent growth curve modeling was used to examine the association between variability in the baseline (intercept) and developmental trajectory (slope) of WM and the crash outcome.

MAIN OUTCOMES AND MEASURES

Self-reported crashes were the primary outcome. Variability in the relative growth of WM development along with traits and behaviors associated with risky driving were assessed.

RESULTS

Of 84 participants (39 [46%] male; mean [SD] age, 20.46 [1.09] years), 25 (29.8%) reported they had been involved in at least 1 crash. Controlling for other crash risk factors, the model indicated that variation in the linear slope of WM growth was inversely associated with reporting a crash (b = -6.41; SE = 2.64; P = .02). Crashes were also associated with reckless driving behavior (b = 0.40; SE = 0.18; P = .03). Variation in the intercept of WM was not associated with crashes (b = -0.245; SE = 0.67; P = .72).

CONCLUSIONS AND RELEVANCE

The results suggest that a relatively slower WM growth trajectory is associated with young driver crashes. Routine assessment of WM across adolescence may help to identify at-risk teen drivers and opportunities for providing adaptive interventions (eg, driving aids or training) that can address limitations in WM-related skills that are critical for safe driving.

Understanding crash potential associated with teen driving: Survey analysis using multivariate graphical method

INTRODUCTION

Teen crash involvement is usually higher than other age groups, and they are typically overrepresented in car crashes. To infer teen drivers' understanding of crash potentials (factors that are associated with crash occurrence), two sources of data are generally used: retrospective data and prospective data. Retrospective data sources contain historical crash data, which have limitations in determining teen drivers' knowledge of crash potentials. Prospective data sources, like surveys, have more potential to minimize the research gap. Prior studies have shown that teen drivers are more likely to be involved in crashes during their early driving years. Thus, there is a benefit in examining how teen drivers' understanding of crash potentials change during their transition through licensing stages (i.e., no licensure to unrestricted licensure).

METHOD

This study used a large set of teen driver survey data (a dataset from approximately 88,000 respondents) of Texas teens to answer the research question. Researchers provided rankings of the crash potentials by gender and licensure stages using a multivariate graphical method named taxicab correspondence analysis (TCA).

RESULTS

The findings show that driving behavior and understanding of crash potentials differ among teens based upon various licensing stages. Practical applications: Findings from this study can help government authorities to refine policies of teen driver licensing and implement potential countermeasures for safety improvement.

Driver licensing and motor vehicle crash rates among young adults with amblyopia and unilateral vision impairment

This retrospective cohort study investigated whether unilateral vision impairment (UVI) or amblyopia are associated with driver licensing and crash risk among young adults. Electronic health records for New Jersey residents who were patients with the Children's Hospital of Philadelphia's healthcare network were linked to statewide driver licensing and crash data. We compared young adults with a diagnosis of UVI and/or amblyopia to peers without such a diagnosis. Young adults with UVI or amblyopia were less likely to acquire a driver's license than those without these conditions. However, among licensed drivers, the risk of a police-reported crash was similar in all three groups.

Traffic Crashes, Violations, and Suspensions Among Young Drivers With ADHD

OBJECTIVES

To compare monthly rates of specific types of crashes, violations, and license suspensions over the first years of licensure for drivers with and without attention-deficit/hyperactivity disorder (ADHD).

METHODS

We identified patients of New Jersey primary care locations of the Children's Hospital of Philadelphia who were born in 1987-1997, were New Jersey residents, had their last primary care visit at age ≥12 years, and acquired a driver's license (N = 14 936). Electronic health records were linked to New Jersey's licensing, crash, and violation databases. ADHD diagnosis was based on International Classification of Diseases, Ninth Revision, Clinical Modification diagnostic codes. We calculated monthly per-driver rates of crashes (at fault, alcohol related, nighttime, and with peers), violations, and suspensions. Adjusted rate ratios were estimated by using repeated-measures Poisson regression.

RESULTS

Crash rates were higher for drivers with ADHD regardless of licensing age and, in particular, during the first month of licensure (adjusted rate ratio: 1.62 [95% confidence interval: 1.18-2.23]). They also experienced higher rates of specific crash types: their 4-year rate of alcohol-related crashes was 2.1 times that of drivers without ADHD. Finally, drivers with ADHD had higher rates of moving violations (for speeding, seat belt nonuse, and electronic equipment use) and suspensions. In the first year of driving, the rate of alcohol and/or drug violations was 3.6 times higher for adolescents with ADHD.

CONCLUSIONS

Adolescents with ADHD are at particularly high crash risk in their initial months of licensure, and engagement in preventable risky driving behaviors may contribute to this elevated risk. Comprehensive preventive approaches that extend beyond current recommendations are critically needed.