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Dong M, Lee YY, Cha JS, Huang G. Drinking and driving: A systematic review of the impacts of alcohol consumption on manual and automated driving performance. JOURNAL OF SAFETY RESEARCH 2024; 89:1-12. [PMID: 38858032 DOI: 10.1016/j.jsr.2024.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 10/06/2023] [Accepted: 01/16/2024] [Indexed: 06/12/2024]
Abstract
INTRODUCTION Almost a third of car accidents involve driving after alcohol consumption. Autonomous vehicles (AVs) may offer accident-prevention benefits, but at current automation levels, drivers must still perform manual driving tasks when automated systems fail. Therefore, understanding how alcohol affects driving in both manual and automated contexts offers insight into the role of future vehicle design in mediating crash risks for alcohol-impaired driving. METHOD This study conducted a systematic review on alcohol effects on manual and automated (takeover) driving performance. Fifty-three articles from eight databases were analyzed, with findings structured based on the information processing model, which can be extended to the AV takeover model. RESULTS The literature indicates that different Blood Alcohol Concentration (BAC) levels affect driving skills essential for traffic safety at various information processing stages, such as delayed reacting time, impaired cognitive abilities, and hindered execution of driving tasks. Additionally, the driver's driving experience, drinking habits, and external driving environment play important roles in influencing driving performance. CONCLUSIONS Future work is needed to examine the effects of alcohol on driving performance, particularly in AVs and takeover situations, and to develop driver monitoring systems. PRACTICAL APPLICATIONS Findings from this review can inform future experiments, AV technology design, and the development of driver state monitoring systems.
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Affiliation(s)
- Miaomiao Dong
- Department of Industrial and Systems Engineering, San Jose State University One Washington Square, San Jose, CA 95192, USA
| | - Yuni Y Lee
- Department of Industrial and Systems Engineering, San Jose State University One Washington Square, San Jose, CA 95192, USA
| | - Jackie S Cha
- Department of Industrial Engineering, Clemson University 268 Freeman Hall, Clemson, SC 29634, USA
| | - Gaojian Huang
- Department of Industrial and Systems Engineering, San Jose State University One Washington Square, San Jose, CA 95192, USA.
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Rajapaksha S, Kitulwatte I, Senarathne U, Edirisinghe A, Perera P. The establishment of a population-specific reference value for the ruler drop test for the clinical assessment of reaction time. J Forensic Leg Med 2023; 96:102525. [PMID: 37119545 DOI: 10.1016/j.jflm.2023.102525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 04/08/2023] [Accepted: 04/14/2023] [Indexed: 05/01/2023]
Abstract
BACKGROUND Reaction time (RT) is the interval between a stimulus and an appropriate voluntary response in an individual. Alcohol is known to result in delayed RT. In Sri Lanka, an alleged drunken driver is legally subjected to a medico-legal examination to confirm or exclude impairment. The guideline for examining a drunk person in Sri Lanka includes the ruler drop test (RDT) as a test of RT. RDT is a simple test of visual reaction time in which the subject attempts to stop a falling ruler, and the height fallen is used to determine the time taken to react to the event. However, a formal study has yet to be carried out to establish population-specific reference values to interpret RDT results. METHODS A cross-sectional descriptive study was conducted using 903 adults ≥18 years. A nonparametric approach was applied for deriving the reference values based on an inter-percentile interval. RESULTS The study population consisted of 56.6% females, and the mean age of the participants was 41.6 years. Most (95%) of the study population could catch the ruler at or less than 40.0 cm of average height. The average height on RDT increased from younger to older age groups. However, subgrouping based on other variables, including sex, age, and alcohol consumption, did not show any statistically significant difference. CONCLUSIONS The population-specific cut-off limit to identify alcohol intoxication by RDT in a Sri Lankan adult is 'average height' >40 cm.
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Affiliation(s)
| | - Indira Kitulwatte
- Department of Forensic Medicine, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
| | - Udara Senarathne
- Department of Biochemistry, Faculty of Medical Sciences, University of Sri Jayewardenepura, Nugegoda, Sri Lanka; Department of Chemical Pathology, Monash Health Pathology, Monash Health, Clayton, Victoria, Australia.
| | - Anuruddhi Edirisinghe
- Department of Forensic Medicine, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka
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Čulík K, Kalašová A, Štefancová V. Evaluation of Driver's Reaction Time Measured in Driving Simulator. SENSORS 2022; 22:s22093542. [PMID: 35591231 PMCID: PMC9099898 DOI: 10.3390/s22093542] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 04/28/2022] [Accepted: 05/02/2022] [Indexed: 11/21/2022]
Abstract
This article evaluates the driver’s reaction times in a driving simulator environment. The research focused mainly on young drivers under the age of 26, who cause many accidents. Each participating driver provided basic information later used for mathematical-statistical analysis. The main advantage of driving simulators is limitless usage. It is possible to simulate situations that would be unacceptable in real road traffic. Therefore, this study is also able to examine drunk driving. The main goal of the article is to evaluate if gender, practice, or alcohol significantly affected the reaction time of 30 drivers. We also focused on drinking before driving for a smaller number of the drivers; ten of them performed driving under the influence of alcohol. For these mathematical-statistical purposes, we used a one-sample t-test, a paired-samples t-test, an independent-sample t-test, and a correlation analysis together with the assessment of its statistical significance.
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Affiliation(s)
- Kristián Čulík
- Department of Road and Urban Transport, University of Zilina, Univerzitna 1, 01026 Zilina, Slovakia;
- Correspondence: ; Tel.: +42-141-513-3507
| | - Alica Kalašová
- Department of Road and Urban Transport, University of Zilina, Univerzitna 1, 01026 Zilina, Slovakia;
| | - Vladimíra Štefancová
- Department of Railway Transport, University of Zilina, Univerzitna 1, 01026 Zilina, Slovakia;
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Zhong Z, Lin Z, Li L, Wang X. Risk Factors for Road-Traffic Injuries Associated with E-Bike: Case-Control and Case-Crossover Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:5186. [PMID: 35564582 PMCID: PMC9100098 DOI: 10.3390/ijerph19095186] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 04/18/2022] [Accepted: 04/22/2022] [Indexed: 02/05/2023]
Abstract
The Electric Bike (EB) has become an ideal mode of transportation because of its simple operation, convenience, and because it is time saving, economical and environmentally friendly. However, electric bicycle road-traffic injuries (ERTIs) have become a road-traffic safety problem that needs to be solved urgently, bringing a huge burden to public health. In order to provide basic data and a theoretical basis for the prevention and control of ERTIs in Shantou, mixed research combining a case-control study and a case-crossover study was carried out to investigate the cycling behavior characteristics and injury status of EB riders in Shantou city, and to explore the influencing factors of ERTI. The case-control study selected the orthopedic inpatient departments of three general hospitals in Shantou. The case-crossover study was designed to assess the effect of brief exposure on the occurrence of ERTIs, in which each orthopedic inpatient serves as his or her own control. Univariable and multivariable logistic regressions were used to examine the associated factors of ERTIs. In the case-control study, multivariable analysis showed that chasing or playing when cycling, finding the vehicle breakdown but continuing cycling, not wearing the helmet, and retrograde cycling were risk factors of ERTIs. Compared with urban road sections, suburb and township road sections were more likely to result in ERTIs. Astigmatism was the protective factor of ERTI. The case-crossover study showed that answering the phone or making a call and not wearing a helmet while cycling increased the risk of ERTIs. Cycling in the motor-vehicle lane and cycling on the sidewalk were both protective factors. Therefore, the traffic management department should effectively implement the policy about wearing a helmet while cycling, increasing the helmet-wearing rate of EB cyclists, and resolutely eliminate illegal behaviors such as violating traffic lights and using mobile phones while cycling. Mixed lanes were high-incidence road sections of ERTIs. It was suggested that adding people-non-motor-vehicles/motor vehicles diversion and isolation facilities in the future to ensure smooth roads and safety would maximize the social economic and public health benefits of EB.
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Affiliation(s)
- Zhaohao Zhong
- Injury Prevention Research Center, Shantou University Medical College, Shantou 515041, China
- School of Public Health, Shantou University, Shantou 515041, China
| | - Zeting Lin
- Injury Prevention Research Center, Shantou University Medical College, Shantou 515041, China
- School of Public Health, Shantou University, Shantou 515041, China
| | - Liping Li
- Injury Prevention Research Center, Shantou University Medical College, Shantou 515041, China
- School of Public Health, Shantou University, Shantou 515041, China
| | - Xinjia Wang
- The Second Affiliated Hospital of Shantou University Medical College, Shantou 515000, China
- Department of Orthopedic, Affiliated Cancer Hospital, Shantou University Medical College, Shantou 515041, China
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Yadav AK, Velaga NR. Modelling brake transition time of young alcohol-impaired drivers using hazard-based duration models. ACCIDENT; ANALYSIS AND PREVENTION 2021; 157:106169. [PMID: 33965845 DOI: 10.1016/j.aap.2021.106169] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 03/23/2021] [Accepted: 04/29/2021] [Indexed: 06/12/2023]
Abstract
Braking performance of drivers is a crucial factor in evaluating the collision patterns and implementing road safety measures. Further, alcohol is known to impair driving control. The present study aims to examine the influence of a comprehensive range of Blood Alcohol Concentration (BAC) levels (0%, 0.03 %, 0.05 % and 0.08 %) on brake transition times of drivers. As young drivers show significantly higher crash risks compared to the experienced drivers, fifty-four young Indian drivers in the age group of 21-25 years (forty males and fourteen females) participated in the driving simulator experiments. The study adopted the framework of a within-subjects design, where each driver encountered rural and urban driving scenarios in a counterbalanced order, during experimental driving at each of the four BAC levels. Their brake transition times were estimated with respect to sudden pedestrian crossing events. Weibull Accelerated Failure Time (AFT) models with shared frailty were developed for quantifying the effects of BAC levels along with driver attributes on brake transition time. Preliminary analysis showed significant main effects of BAC (p < 0.001) and driving environment (p = 0.002) on brake transition time; however, their interaction effect was not significant (p = 0.485). The models revealed that 0.03 %, 0.05 % and 0.08 % BACs significantly reduced the brake transition times by 16 %, 28 % and 52 % in rural driving environment, and by 23 %, 37 % and 53 % in urban driving environment, compared to 0% BAC. The study outcomes may find application in assisting collision warning systems which take into account the braking behaviour of drivers.
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Affiliation(s)
- Ankit Kumar Yadav
- Transportation Systems Engineering, Department of Civil Engineering, Indian Institute of Technology (IIT) Bombay Powai, Mumbai, 400 076, India.
| | - Nagendra R Velaga
- Transportation Systems Engineering, Department of Civil Engineering, Indian Institute of Technology (IIT) Bombay Powai, Mumbai, 400 076, India.
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Yadav AK, Velaga NR. Modeling the influence of 0.03%, 0.05% and 0.08% blood alcohol concentrations on lane positioning and steering control of Indian drivers. TRAFFIC INJURY PREVENTION 2021; 22:343-348. [PMID: 33979247 DOI: 10.1080/15389588.2021.1921169] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 04/18/2021] [Accepted: 04/19/2021] [Indexed: 06/12/2023]
Abstract
OBJECTIVE Alcohol-impairment of drivers has significant influence on road traffic safety; however, no experimental research has been conducted on the lateral driving control of Indian drivers. Therefore, the present study investigates the effects of different Blood Alcohol Concentration (BAC) levels (0%, 0.03%, 0.05% and 0.08%) and driver attributes on the lane positioning and steering control of Indian drivers. METHOD A driving simulator experiment was designed where 82 adult licensed drivers (62 males, 20 females) completed driving on the simulated urban arterial road environment under the influence of varying BACs. Lateral driving performance measures associated with lane positioning (lane position variability) and steering control of drivers (steering angle variability and steering reversal rates (SRR)) were analyzed. RESULTS The findings reported that lane position variability was significantly influenced only at 0.08% BAC (5.8% increment); no significant influence was observed at 0.03% and 0.05% BACs. Compared to 0% BAC, steering angle variability increased by 0.105 degrees or 15.7%, 0.142 degrees or 21.4%, and 0.176 degrees or 25.7% at 0.03%, 0.05% and 0.08% BACs respectively. No significant differences were observed between the sober-state driving and alcohol-impaired driving at 1ο and 5ο SRR. However, 10ο SRR was found to be higher by 36%, 65% and 92% at 0.03%, 0.05% and 0.08% BACs compared to 0% BAC. Among the driver attributes, male drivers displayed higher impairment in lane positioning behavior as compared to female drivers. One-year increase in drivers' age reduced the lane position variability by 0.6%. Drivers who performed regular physical exercise were found to have better lateral control on the vehicle, as observed in their steering angle variability. Prior crash history had negative association with the steering reversal rates, indicating that drivers who have previous experience of crash involvement show better steering control than the drivers without any crash experience. CONCLUSION In conclusion, the outcomes of this study provide novel insights into the alcohol-impaired lateral vehicle control of Indian drivers which can assist in policy interventions aiming to reduce crashes with alcohol as a major crash causation factor.
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Affiliation(s)
- Ankit Kumar Yadav
- Transportation Systems Engineering, Department of Civil Engineering, Indian Institute of Technology (IIT) Bombay, Mumbai, Maharashtra, India
| | - Nagendra R Velaga
- Transportation Systems Engineering, Department of Civil Engineering, Indian Institute of Technology (IIT) Bombay, Mumbai, Maharashtra, India
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Phuksuksakul N, Kanitpong K, Chantranuwathana S. Factors affecting behavior of mobile phone use while driving and effect of mobile phone use on driving performance. ACCIDENT; ANALYSIS AND PREVENTION 2021; 151:105945. [PMID: 33385967 DOI: 10.1016/j.aap.2020.105945] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 11/29/2020] [Accepted: 12/08/2020] [Indexed: 06/12/2023]
Abstract
This study analyzed factors affecting behavior of mobile phone use while driving and its effects on driving performance, in terms of speed, lateral position, steer deviation, steer speed, following distance, perception-reaction time, and occurrence of a near miss situation. To investigate the factors affecting behavior of mobile phone use while driving, 1106 respondents from four different regions in Thailand participated in the questionnaire survey study. Theory of Planned Behavior (TPB) was used to explain these factors including two additional extended factors which are risk perception and law enforcement knowledge. The outcome of this part shows that attitude, norm, and law enforcement knowledge significantly affect the intention and behavior of the drivers. Even though approximately 90 percent of drivers realized that using a mobile phone while driving was dangerous and against the law, they have reported that they still use mobile phone while driving. To determine the effect of mobile phone use on driving performance, a 2-lane, straight rural highway, with a leading vehicle and an unexpected "STOP" sign, were simulated in order to examine the driving performance of drivers "without a phone", "talking on a phone call", and "texting a message" conditions. The results found that using mobile phone while driving can reduce speed and following distance, but increase lateral deviation, steer deviation, steer speed, perception-reaction time, and number of near misses leading to higher risks for road crashes.
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Affiliation(s)
| | - Kunnawee Kanitpong
- School of Engineering and Technology, Asian Institute of Technology, Thailand.
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Yadav AK, Velaga NR. Alcohol-impaired driving in rural and urban road environments: Effect on speeding behaviour and crash probabilities. ACCIDENT; ANALYSIS AND PREVENTION 2020; 140:105512. [PMID: 32234551 DOI: 10.1016/j.aap.2020.105512] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 02/21/2020] [Accepted: 03/15/2020] [Indexed: 06/11/2023]
Abstract
Speeding behaviour is known to influence crash risk among alcohol-impaired drivers, but this relationship is scarcely explored. The present study investigated the effects of different Blood Alcohol Concentrations (BAC) levels on driving performance with respect to mean speed of drivers and their ability to avoid crashes during sudden events while driving. Eighty-two drivers participated in the simulation driving experiment at four BAC levels (0%, 0.03 %, 0.05 % and 0.08 % BAC) in rural and urban driving scenarios. Two sudden events (pedestrian crossing and road crossing by parked vehicles (a car and a truck) in the perpendicular direction of traffic) were designed to evaluate the crash probabilities in both the driving scenarios. Generalized linear mixed models were developed to analyse the effects of BAC levels and driver attributes (e.g., age, gender) on mean speeds and crash probabilities. Results for mean speed showed that, compared to sober state, drivers drove 3.5 kmph, 5.76 kmph and 8.78 kmph faster at 0.03 %, 0.05 % and 0.08 % BAC respectively in the rural environment and this increment was 3.6 kmph, 3.69 kmph and 4.13 kmph in the urban environment. The model results for crash probabilities revealed that 0.03 %, 0.05 % and 0.08 % BAC levels increased the crash probabilities by 1.9 times, 2 times and 3 times in case of the rural environment and 2 times, 2.3 times and 3.5 times respectively in the urban driving environment.
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Affiliation(s)
- Ankit Kumar Yadav
- Transportation Systems Engineering, Department of Civil Engineering, Indian Institute of Technology (IIT) Bombay, Powai, Mumbai, 400 076, India.
| | - Nagendra R Velaga
- Transportation Systems Engineering, Department of Civil Engineering, Indian Institute of Technology (IIT) Bombay, Powai, Mumbai, 400 076, India.
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Yadav AK, Velaga NR. An investigation on the risk factors associated with driving errors under the influence of alcohol using structural equation modeling. TRAFFIC INJURY PREVENTION 2020; 21:288-294. [PMID: 32364839 DOI: 10.1080/15389588.2020.1753039] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 04/03/2020] [Accepted: 04/03/2020] [Indexed: 06/11/2023]
Abstract
Objective: Driving errors contribute to traffic crashes and thus the causal factors associated with driving errors are of great interest to the road safety researchers. The present study attempts to identify and quantify the effects of various risk factors that are likely to influence driving error with the application of structural equation modeling (SEM). These risk factors include blood alcohol concentration (BAC) levels (0%, 0.03%, 0.05%, and 0.08%), different driving environments (rural, urban), and driver attributes (such as age, gender, education).Method: Eighty-two licensed drivers participated in a driving simulator experiment. They completed driving under the influence of 4 BAC levels in the driving environments within the framework of a full-factorial within-subjects design. Driving error was modeled as an unobserved latent variable based on several driving simulator indicators. An SEM approach was utilized to examine the influence of BAC level, driving environment, and driver attributes on the latent variable pertaining to driving error.Results: The findings suggest the suitability of an SEM approach in the investigation of driving error. The results revealed that all 3 positive BACs (0.03%, 0.05%, and 0.08%) had a significant positive influence on driving error compared to 0% BAC, and the tendency toward driving error increased with increasing BAC (factor loadings for 0.03%, 0.05%, and 0.08% BAC were 0.22, 0.31, and 0.37, respectively). Moreover, driving in an urban environment led to more driving errors compared to a rural environment, including sober drivers. Among the driver attributes, gender and awareness about drink and drive laws were the only factors influencing driving error.Conclusion: This study highlights a novel approach to investigate driving error by modeling it as a latent variable instead of modeling individual performance measures. The successful execution of SEM in alcohol impairment research may serve as a significant step in the human factors field moving from piecemeal analysis to a combined analysis where interrelationships among numerous risk factors and driving error can be established. The study outcomes may serve as a reference while developing strategies to enhance road traffic safety where special emphasis can be given to the critical risk factors influencing driving error identified in the study.
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Affiliation(s)
- Ankit Kumar Yadav
- Transportation Systems Engineering, Department of Civil Engineering, Indian Institute of Technology (IIT) Bombay Powai, Mumbai, India
| | - Nagendra R Velaga
- Transportation Systems Engineering, Department of Civil Engineering, Indian Institute of Technology (IIT) Bombay Powai, Mumbai, India
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Centola C, Tagliabue M, Spoto A, Palpacelli M, Giorgetti A, Giorgetti R, Vidotto G. Enhancement of unsafe behaviors in simulated moped-riding performance under the influence of low dose of alcohol. ACCIDENT; ANALYSIS AND PREVENTION 2020; 136:105409. [PMID: 31891833 DOI: 10.1016/j.aap.2019.105409] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 12/10/2019] [Accepted: 12/17/2019] [Indexed: 06/10/2023]
Abstract
The effects of low levels of blood alcohol concentration (BAC) on motorcyclist performance are still not fully comprehended. The great majority of the studies are, in fact, focused on car driving. So far, it is known that even BAC levels below the legal limit negatively affect riding motor skills correlated with crash rate. In the present study, we used a moped riding simulator to investigate the effects of low alcohol dosages (under the limits established in Italy, and in most European countries) on the defensive riding ability of light drinkers, particularly focusing on the degree of danger characterizing their riding performance. We recruited 24 participants through a double-blind, random distribution, balanced, cross-over design. We administered moderate amounts of alcohol to participants during two sessions of moped riding simulation. The results showed that even though BAC levels were always below (mean value: 0.03 g/dL) the limit allowed by Italian traffic law (0.05 g/dL), alcohol induced a reduction in safe riding behaviors, as indicated by the greater amount of hazardous scenes faced with dangerous riding behaviors when participants were under the influence of alcohol than when they were sober. Moreover, low BAC levels had a greater detrimental influence when a certain amount of learning had already been achieved by the participants (i.e., in the last experimental session). The results suggest that the effect of a low dose of alcohol interacts with participants' self-confidence.
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Affiliation(s)
- Carmela Centola
- Section of Legal Medicine, Department of Excellence SBSP, Università Politecnica delle Marche Ancona, Italy
| | | | - Andrea Spoto
- Department of General Psychology, University of Padua, Italy
| | - Marco Palpacelli
- Section of Legal Medicine, Department of Excellence SBSP, Università Politecnica delle Marche Ancona, Italy
| | - Arianna Giorgetti
- Section of Legal Medicine, Department of Excellence SBSP, Università Politecnica delle Marche Ancona, Italy
| | - Raffaele Giorgetti
- Section of Legal Medicine, Department of Excellence SBSP, Università Politecnica delle Marche Ancona, Italy.
| | - Giulio Vidotto
- Department of General Psychology, University of Padua, Italy
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Meng F, Wong SC, Yan W, Li YC, Yang L. Temporal patterns of driving fatigue and driving performance among male taxi drivers in Hong Kong: A driving simulator approach. ACCIDENT; ANALYSIS AND PREVENTION 2019; 125:7-13. [PMID: 30690275 DOI: 10.1016/j.aap.2019.01.020] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Revised: 01/19/2019] [Accepted: 01/20/2019] [Indexed: 06/09/2023]
Abstract
This study uses a questionnaire survey and a driving simulator test to investigate the temporal patterns of variations in driving fatigue and driving performance in 50 male taxi drivers in Hong Kong. Each driver visited the laboratory three times: before, during, and after a working shift. The survey contained a demographic questionnaire and the Brief Fatigue Inventory. A following-braking simulator test session was conducted at two speeds (50 and 80 km/h) by each driver at each of his three visits, and the driver's performance in brake reaction, lane control, speed control, and steering control were recorded. A random-effects modeling approach was incorporated to address the unobserved heterogeneity caused by the repeated measures. In the results, a recovery effect and a lagging effect were defined for the driving fatigue and performance measures because their temporal patterns were concavely quadratic and had a 1-hour delay compared to the temporal patterns of occupied taxi trips and taxi crash risk in Hong Kong. Demographic variables, such as net income and driver age, also had significant effects on the measured driving fatigue and performance. Policies regarding taxi management and operation based on the modeling results are proposed to alleviate the taxi safety situation in Hong Kong and worldwide.
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Affiliation(s)
- Fanyu Meng
- Department of Civil Engineering, The University of Hong Kong, Hong Kong, China.
| | - S C Wong
- Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Wei Yan
- Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China
| | - Y C Li
- Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Linchuan Yang
- Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
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Rezaee-Zavareh MS, Salamati P, Ramezani-Binabaj M, Saeidnejad M, Rousta M, Shokraneh F, Rahimi-Movaghar V. Alcohol consumption for simulated driving performance: A systematic review. Chin J Traumatol 2017; 20:166-172. [PMID: 28502603 PMCID: PMC5473736 DOI: 10.1016/j.cjtee.2017.04.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2015] [Revised: 05/21/2016] [Accepted: 05/30/2016] [Indexed: 02/04/2023] Open
Abstract
PURPOSE Alcohol consumption can lead to risky driving and increase the frequency of traffic accidents, injuries and mortalities. The main purpose of our study was to compare simulated driving performance between two groups of drivers, one consumed alcohol and the other not consumed, using a systematic review. METHODS In this systematic review, electronic resources and databases including Medline via Ovid SP, EMBASE via Ovid SP, PsycINFO via Ovid SP, PubMed, Scopus, Cumulative Index to Nursing and Allied Health Literature (CINHAL) via EBSCOhost were comprehensively and systematically searched. The randomized controlled clinical trials that compared simulated driving performance between two groups of drivers, one consumed alcohol and the other not consumed, were included. Lane position standard deviation (LPSD), mean of lane position deviation (MLPD), speed, mean of speed deviation (MSD), standard deviation of speed deviation (SDSD), number of accidents (NA) and line crossing (LC) were considered as the main parameters evaluating outcomes. After title and abstract screening, the articles were enrolled for data extraction and they were evaluated for risk of biases. RESULTS Thirteen papers were included in our qualitative synthesis. All included papers were classified as high risk of biases. Alcohol consumption mostly deteriorated the following performance outcomes in descending order: SDSD, LPSD, speed, MLPD, LC and NA. Our systematic review had troublesome heterogeneity. CONCLUSION Alcohol consumption may decrease simulated driving performance in alcohol consumed people compared with non-alcohol consumed people via changes in SDSD, LPSD, speed, MLPD, LC and NA. More well-designed randomized controlled clinical trials are recommended.
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Affiliation(s)
| | - Payman Salamati
- Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran.
| | | | - Mina Saeidnejad
- Islamic Azad University, Tehran Medical Branch, Tehran, Iran
| | - Mansoureh Rousta
- Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Farhad Shokraneh
- Research Center for Pharmaceutical Nanotechnology, Iranian Center for Evidence-based Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Vafa Rahimi-Movaghar
- Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran
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Huang H, Wang X, Hu G. Traffic safety in China: Challenges and countermeasures. ACCIDENT; ANALYSIS AND PREVENTION 2016; 95:305-307. [PMID: 27506136 DOI: 10.1016/j.aap.2016.07.040] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Affiliation(s)
- Helai Huang
- School of Traffic and Transportation Engineering, Central South University, Changsha, Hunan, China.
| | - Xuesong Wang
- School of Transportation Engineering, Tongji University, Shanghai, China
| | - Guoqing Hu
- Xiangya School of Public Health, Central South University, Changsha, Hunan, China
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