Developing and testing a hazard prediction task for novice drivers: A novel application of naturalistic driving videos

Ehsani, Johnathon P.; Seymour, Karen E.; Chirles, Theresa J.; Kinnear, Neale

doi:10.1016/j.jsr.2020.03.010

Cited by 9 publications

(3 citation statements)

References 23 publications

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“…It was found that the major causes of crashes for novice drivers included inadequate speed control, overreaction delay, and inappropriate attention allocation, all of which could be attributed to the lack of driving experience [42]. Some previous studies carried out experiments to record crash-relevant driving parameter data and compared the difference in safety performance between novice drivers and experienced drivers with statistical methods [43][44][45]. However, these results were drawn by relating crash occurrences to several driving parameters without considering their differences across various compositions of driver experience.…”

Section: Driver Experience Heterogeneity and Safetymentioning

confidence: 99%

Simulation Study of Rear-End Crash Evaluation considering Driver Experience Heterogeneity in the Framework of Three-Phase Traffic Theory

Xiao

et al. 2021

Journal of Advanced Transportation

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Driving safety is considered to have a strong relationship with traffic flow characteristics. However, very few studies have addressed the safety impacts in the three-phase traffic theory that has been demonstrated to be an advancement in explaining the empirical features of traffic flow. Another important issue affecting safety is driver experience heterogeneity, especially in developing countries experiencing a dramatic growth in the number of novice drivers. Thus, the primary objective of the current study is to develop a microsimulation environment for evaluating safety performance considering the presence of novice drivers in the framework of three-phase theory. First, a car-following model is developed by incorporating human physiological factors into the classical Intelligent Driver Model (IDM). Moreover, a surrogate safety measure based on the integration concept is modified to evaluate rear-end crashes in terms of probability and severity simultaneously. Based on a vehicle-mounted experiment, the field data of car-following behavior are collected by dividing the subjects into a novice group and an experienced group. These data are used to calibrate the proposed car-following model to explain driver experience heterogeneity. The results indicate that our simulation environment is capable of reproducing the three-phase theory, and the changes in the modified surrogate safety measure are highly correlated with traffic phases. We also discover that the presence of novice drivers leads to different safety performance outcomes across various traffic phases. The effect of driver experience heterogeneity is found to increase the probability of the rear-end crashes as well as the corresponding severity. The results of this study are expected to provide a scientific understanding of the mechanisms of crash occurrences and to provide application suggestions for improving traffic safety performance.

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Section: Driver Experience Heterogeneity and Safetymentioning

confidence: 99%

Simulation Study of Rear-End Crash Evaluation considering Driver Experience Heterogeneity in the Framework of Three-Phase Traffic Theory

Xiao

et al. 2021

Journal of Advanced Transportation

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“…The aim of such studies is to understand and establish factors leading to the over-representation of novice drivers in RTCs. In this process, crash and behavior-predictive models have been developed to assist in devising traffic safety measures and improvements in driver training programs [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…This study is one of the first to report findings on female drivers and their accident involvement from SA. What makes this study more interesting is that most previous studies on novice drivers (either male, female, or both) have been based on drivers aged between 16 and 20 years old [8,10,12,13,19] or between 17 and 25 years old [18,20,22], whereas this study is more comprehensive. The few studies that have included novice drivers aged over 25 had to deal with the problem of limited representation and a less comprehensive age range for the older age group [6,7,11].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Road Traffic Crashes among Novice Female Drivers in Saudi Arabia

2021

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Background: Recently (in 2018), females were legally allowed to drive and use automobiles in Saudi Arabia (SA) for the first time. This study investigated and analyzed the general fear of driving (GFDS), perceived self-confidence (PSCR), socio-economic variables, demographic distribution, and self-reported RTCs in novice female drivers from SA. Methods: The work was based on survey responses from 9608 participants from the first generation of female drivers from SA. Factor analysis was used to extract GFDS and PSCR scales. Results: Cronbach’s α values of 0.781 and 0.800 were observed for GFDS and PSCR, respectively. Logistic regression was employed to model road traffic collisions (RTCs) as a function of all significant variables. The results showed that of the 17.4% of geographically distributed respondents who reported RTCs, only 4% reported severe or minor injuries, and the rest (96.0%) of the accidents involved property damage. The GFDS and PSCR values showed a positive association with the RTCs of novice female drivers. Furthermore, age was not a significant influencing factor in the RTCs of novice female drivers. However, exposure factors were positively associated with the risk of RTC involvement. Conclusions: Female novice drivers who were single, divorced/widowed, employed, and had higher individual incomes were at higher risk of getting into RTCs. The female drivers who hired personal trainers, compared to those who did not, exhibited similar chances of getting involved in RTCs. An extra on-road in-traffic driving lesson is suggested to be included in the new-driver license training program for drivers with higher GFDS in SA.

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