Acceptance of drinking and driving and alcohol-involved driving crashes in California

A Case Study on Vestibular Sensations in Driving Simulators

Motion platforms have been used in simulators of all types for several decades. Since it is impossible to reproduce the accelerations of a vehicle without limitations through a physically limited system (platform), it is common to use washout filters and motion cueing algorithms (MCA) to select which accelerations are reproduced and which are not. Despite the time that has passed since their development, most of these algorithms still use the classical washout algorithm. In the use of these MCAs, there is always information that is lost and, if that information is important for the purpose of the simulator (the training simulators), the result obtained by the users of that simulator will not be satisfactory. This paper shows a case study where a BMW 325Xi AUT fitted with a sensor, recorded the accelerations produced in all degrees of freedom (DOF) during several runs, and data have been introduced in mathematical simulation software (washout + kinematics + actuator simulation) of a 6DOF motion platform. The input to the system has been qualitatively compared with the output, observing that most of the simulation adequately reflects the input to the system. Still, there are three events where the accelerations are lost. These events are considered by experts to be of vital importance for the outcome of a learning process in the simulator to be adequate.

Deterring illegal smartphone use while driving: Are perceptions of risk information associated with the impact of informal sanctions?

Advertising campaigns have used threat appeals to increase the perceptions of risk associated with dangerous driving behaviours. Building on recent research that suggests increasing the pertinence of informal sanctions (sense of guilt, fear of peer disapproval, or fear of hurting oneself and others) decreases the likelihood of illegal smartphone engagement while driving, this study aimed to determine if perceptions of risk information, that is, how effective drivers believe the information is in deterring their illegal use, is associated with perceptions of informal sanctions. An online survey of 1027 Victorians who self-reported illegal smartphone use while driving asked participants to rate the personal deterrent effectiveness of five types of risks associated with illegal smartphone use while driving. A hierarchical linear regression model explored the associations between the most effective risks and each informal sanction. Female drivers were more likely than male drivers to experience guilt, fear of social loss and fear of physical loss when using their smartphones illegally. More frequent illegal smartphone engagement while driving was associated with decreased impact of informal sanctions. Female drivers were more likely than male drivers to perceive each risk as effective. The most effective piece of information was, "Contributes to 16% of Victorian road deaths and serious injuries annually"; it was also the least known (32.7% males, 26.7% females). This message, alongside, "Increases risk of a crash comparable to those associated with driving under the influence of alcohol or cannabis" and, "A 2 s glance at your phone while driving at 50 km/h effectively means driving blind for 27 m", were associated with stronger perceptions of guilt, fear of peer disapproval, or fear of hurting oneself and others when thinking about using a smartphone illegally while driving. These results suggest tailoring and targeting these specific risk information may be effective in deterring illegal smartphone use while driving.

The effect of the Safer at Home order on the frequency of DUI breath alcohol tests in Los Angeles County

With Los Angeles County having a population size of just over 10 million and an additional 471,000 people who commute into Los Angeles County for employment, many drivers are at risk of being injured or killed in an alcohol-impaired driving collision. On March 19, 2020, the County of Los Angeles issued the Safer at Home order as a result of the COVID-19 pandemic. This curtailed driving and decreased the number of breath alcohol tests that were conducted in Los Angeles County. The number of breath tests conducted in January-February of 2019 and 2020 and March-April of 2019 and 2020 were evaluated using Fisher's exact test and analysis of variance. There was a statistically significant decrease in the overall number of breath tests conducted in Los Angeles County in March-April of 2020. There was also a significant decrease in the number of collisions where DUI was a factor. Accounting for changes in traffic volumes, the number of breath tests per vehicle miles driven also decreased significantly. Since the Safer at Home order closed all non-essential services such as bars and restaurants, there is indirect data on the relative contribution of liquor-serving establishments, and to some extent large social gatherings, to the incidence of drunk driving. Taking into account traffic volume, it was determined that the odds of encountering an intoxicated driver decreased by approximately 23% during the Safer at Home period. This information could help policy-makers determine the likely effectiveness of various countermeasures to prevent drunk driving.

Alcohol stigma as it relates to drinking behaviors and perceptions of drink drivers: A mixed method study in Moshi, Tanzania

BACKGROUND

Alcohol is a leading risk factor for road traffic injury in low- and middle-income countries, such as Tanzania. This research seeks to explore the drinking patterns, perceptions, and stigma of drink driving behavior of injury patients at Kilimanjaro Christian Medical Center in Moshi, Tanzania.

METHODS

This mixed methods study incorporated the Perceived Alcohol Stigma (PAS), an additive Likert scale, and the Alcohol Use Disorders Identification Test (AUDIT). Results are reported as medians with IQRs. Additionally, focus groups with injury patients, their families, and community members (n = 104) were conducted and analyzed in pairs using an inductive thematic content analysis approach.

RESULTS

Those who self-reported driving after ingesting 3 or more alcoholic drinks had a median AUDIT score (median = 11.0) significantly higher than those who denied drink driving (median = 5.5, p < 0.01). The PAS showed a high overall stigma against those who use alcohol but differed for drink drivers, drinkers, and abstainers (median = 20.8, 23.9, 34.9, p < 0.01). Thematic content analysis highlighted a 'disapproving of drink drivers', that 'problematic drinking is a drinking behavior which negatively affects others', and a 'passiveness toward drinking and drink driving'.

CONCLUSIONS

Stigma against those who use alcohol is present in Tanzania. Perceived stigma is significantly lower among those who drink drive than those who do not. Overall, there appears to be a community-wide disapproval of drinking and driving, which is coupled with feeling unable to change this risky behavior.

Are Your Eyes "on the Road"? Findings from the 2019 National Study on Vision and Driving Safety in Spain

Background: Vision is an undisputable contributor to the explanation of many human-factor related traffic crashes happening every day. The Inland Transport Committee (ITC), the United Nations regulatory platform, included on 1st April 2020 special action on the vision of road users inside the ITC Recommendations for Enhancing Road Safety Systems. The results of this wide-scale study on drivers’ vision health conducted in Spain perfectly illustrates the need of global action and its potential impact on the public health figures and the burden of potentially preventable traffic causalities. Objective: The aim of this study was to assess three key visual health issues (i.e., visual acuity, visual field campimetry and glare recovery) among Spanish drivers, in order to formulate implications and possible guidelines to enhance road safety. Methods: This cross-sectional study examined the visual health of a representative sample of 3249 drivers (70% females and 30% males) with a mean age of 41 (SD = 13) years, gathered from all the 17 autonomous communities of Spain. Results: The tests performed allowed to determine that 15% of Spanish drivers have a poor photopic vision, while 38% of them present an inadequate mesopic vision. Further, 23% of drivers have deficiencies in peripheric visual field campimetry, and the average time for full-vision recovery after a 10-s glare was 27 s. Sex, age and driver type (professional vs. non-professional) differences were found for the study variables. Conclusions: The findings of this study support the idea that certain demographic-based population groups of drivers present several unaddressed deficiencies and impairments in visual health. Overall an estimated 29.5% of Spanish drivers present visual issues, that need to be attended in order to enhance the prevention of driving crashes and the road safety of all road users.

Factors associated with driving under the influence of alcohol

Objective: This study examined the risk factors of driving under the influence of alcohol (DUI) among drivers of specific vehicle categories (DSC). On the basis of this research, the variables related to DUI and involvement in traffic crashes were defined. The analysis was conducted for car drivers, bicyclists, motorcyclists, bus drivers, and truck drivers. Method: The research sample included drivers involved in traffic crashes on the territory of Serbia in 2016 (60,666). Two types of analyses were conducted in this study. Logistic regression established the correlation between DUI and DSC and the The Technique for Order of Preference by Similarity to Ideal Solution (Multi-criteria decision making) method was applied to consider the scoring and explore the potential for the prevalence of DUI on the basis of 2 data sets (DUI and non DUI). Results: The study results showed that driver error and male drivers were the 2 most significant risk factors for DUI, with the highest scores and potential for prevalence. The nonuse of restraint systems, driver experience, and driver age are the factors with a significant prediction of involvement in an accident and an insignificant prediction of DUI. Conclusions: Following the development of the logistic prediction models for DUI drivers, testing of the model was conducted for 3 control driver groups: Car, motorcycle, and bicycle. The prediction model with a probability greater than 50% showed that 77% of car drivers were under the influence of alcohol. Similarly, the prediction percentage for motorcyclists and bicyclists amounted to 71 and 67%, respectively. The recommendation of the study is that drivers whose DUI probability is above 50% should be potentially suspected of DUI. The results of this study can help to understand the problem of DUI among specific driver categories and detect DUI drivers, with the aim of creating successful traffic safety policy.

Detecting DUI (Non) deterrence: A macro-methodology to uncover "restrictive v permissive" county jurisdictions in California

This paper builds a method to detect the apparent restrictiveness or permissiveness of communities towards drunk-driving. A framework of three mutually interacting community domains is used to motivate a minimum set of DUI patterns to be expected from an appropriately deterrent environment. Based on the (simplified) system dynamics model, an empirical estimation strategy and scoring methodology is outlined. This "macroscopic" approach is demonstrated using results from time-series panel analyses of California's 58 counties for the years 1990 to 2010 (Van Vleck et al., 2017). The process successfully classified three-quarters of California counties, encompassing almost 90% of the state population. The paper demonstrates a potential tool to classify communities' systemic behavior toward drinking-and-driving and other enforcement-sensitive subjects.

Sex differences in the association between impulsivity and driving under the influence of alcohol in young adults: The specific role of sensation seeking

INTRODUCTION

There is an outstanding need to identify predictors of driving under the influence of alcohol (DUI) among young adults, particularly women. Impulsivity, or the tendency to act without thinking, is a predictor of DUI, but the specific facets of impulsivity that predict DUI and their interaction with sex differences remain unclear. We aimed to investigate sex differences in the link between impulsivity facets and DUI. Moreover, we sought to replicate previous findings regarding sex differences on impulsivity, and associations between impulsivity facets and DUI.

METHOD

A total of 506 university students participated in the study (males, n = 128; females, n = 378). Participants completed measures of impulsivity (UPPS-P short version), alcohol use (AUDIT-C), frequency of DUI episodes and related perception of risk. The UPPS-P assesses five facets of impulsivity: sensation seeking, (lack of) premeditation and perseverance and positive and negative urgency.

RESULTS

Men showed higher sensation seeking and lack of perseverance, alcohol use and DUI frequency and lower risk perception than women. DUI frequency was negatively associated with perception of risk and positively associated with alcohol use and the five impulsivity facets. After controlling for alcohol use and risk perception, only lack of premeditation was associated with DUI frequency in the whole sample. Sensation seeking was positively associated with DUI frequency only in women.

DISCUSSION

The link between lack of premeditation and DUI suggest that pre-drinking planning strategies can contribute to prevent risky driving. In women, specific links between sensation seeking and DUI suggest the need for personality-tailored prevention strategies.

Support Vector Machine Classification of Drunk Driving Behaviour

Alcohol is the root cause of numerous traffic accidents due to its pharmacological action on the human central nervous system. This study conducted a detection process to distinguish drunk driving from normal driving under simulated driving conditions. The classification was performed by a support vector machine (SVM) classifier trained to distinguish between these two classes by integrating both driving performance and physiological measurements. In addition, principal component analysis was conducted to rank the weights of the features. The standard deviation of R–R intervals (SDNN), the root mean square value of the difference of the adjacent R–R interval series (RMSSD), low frequency (LF), high frequency (HF), the ratio of the low and high frequencies (LF/HF), and average blink duration were the highest weighted features in the study. The results show that SVM classification can successfully distinguish drunk driving from normal driving with an accuracy of 70%. The driving performance data and the physiological measurements reported by this paper combined with air-alcohol concentration could be integrated using the support vector regression classification method to establish a better early warning model, thereby improving vehicle safety.

Analysis of risk factors affecting driver injury and crash injury with drivers under the influence of alcohol (DUI) and non-DUI

OBJECTIVE

The objective of this research was to study risk factors that significantly influence the severity of crashes for drivers both under and not under the influence of alcohol.

METHODS

Ordinal logistic regression was applied to analyze a crash data set involving drivers under and not under the influence of alcohol in China from January 2011 to December 2014.

RESULTS

Four risk factors were found to be significantly associated with the severity of driver injury, including crash partner and intersection type. Age group was found to be significantly associated with the severity of crashes involving drivers under the influence of alcohol. Crash partner, intersection type, lighting conditions, gender, and time of day were found to be significantly associated with severe driver injuries, the last of which was also significantly associated with severe crashes involving drivers not under the influence of alcohol.

CONCLUSIONS

This study found that pedestrian involvement decreases the odds of severe driver injury when a driver is under the influence of alcohol, with a relative risk of 0.05 compared to the vehicle-to-vehicle group. The odds of severe driver injury at T-intersections were higher than those for traveling along straight roads. Age was shown to be an important factor, with drivers 50-60 years of age having higher odds of being involved in severe crashes compared to 20- to 30-year-olds when the driver was under the influence of alcohol. When the driver was not under the influence of alcohol, drivers suffered more severe injuries between midnight and early morning compared to early nighttime. The vehicle-to-motorcycle and vehicle-to-pedestrian groups experienced less severe driver injuries, and vehicle collisions with fixed objects exhibited higher odds of severe driver injury than did vehicle-to-vehicle impacts. The odds of severe driver injury at cross intersections were 0.29 compared to travel along straight roads. The odds of severe driver injury when street lighting was not available at night were 3.20 compared to daylight. The study indicated that female drivers are more likely to experience severe injury than male drivers when not under the influence of alcohol. Crashes between midnight and early morning exhibited higher odds of severe injury compared to those occurring at other times of day. The identification of risk factors and a discussion on the odds ratio between levels of the impact of the driver injury and crash severity may benefit road safety stakeholders when developing initiatives to reduce the severity of crashes.