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Yazdani, Mirbahador, Shadlouy, Hadi, Shirini, Bahram, Faraji, Omar, Nazari, Jamshid. (1405). Evaluation of Car Following Driver Behavior: A Systematic Review. پژوهشنامه مدیریت اجرایی, 2(4), 60-68. doi: 10.22080/ceas.2026.30563.1054
Mirbahador Yazdani; Hadi Shadlouy; Bahram Shirini; Omar Faraji; Jamshid Nazari. "Evaluation of Car Following Driver Behavior: A Systematic Review". پژوهشنامه مدیریت اجرایی, 2, 4, 1405, 60-68. doi: 10.22080/ceas.2026.30563.1054
Yazdani, Mirbahador, Shadlouy, Hadi, Shirini, Bahram, Faraji, Omar, Nazari, Jamshid. (1405). 'Evaluation of Car Following Driver Behavior: A Systematic Review', پژوهشنامه مدیریت اجرایی, 2(4), pp. 60-68. doi: 10.22080/ceas.2026.30563.1054
Yazdani, Mirbahador, Shadlouy, Hadi, Shirini, Bahram, Faraji, Omar, Nazari, Jamshid. Evaluation of Car Following Driver Behavior: A Systematic Review. پژوهشنامه مدیریت اجرایی, 1405; 2(4): 60-68. doi: 10.22080/ceas.2026.30563.1054

Evaluation of Car Following Driver Behavior: A Systematic Review

Civil Engineering and Applied Solutions
دوره 2، شماره 4، دی 2026، صفحه 60-68    اصل مقاله (616.3 K)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22080/ceas.2026.30563.1054
نویسندگان
Mirbahador Yazdani؛ Hadi Shadlouy* ؛ Bahram Shirini؛ Omar Faraji؛ Jamshid Nazari
Faculty of Engineering, Bonab University, Bonab, Iran
تاریخ دریافت: 30 آبان 1404،  تاریخ بازنگری: 13 بهمن 1404،  تاریخ پذیرش: 03 اردیبهشت 1405 
چکیده
Investigating car-following driver behavior is essential for increasing traffic safety, optimizing transportation, and developing autonomous vehicle technology. This importance has made studying this behavior in complex traffic situations and in autonomous vehicles a key research topic. The present survey provides a comprehensive overview of driver behavior in car-following with a focus on the period from 2015 to 2025. The search involving all databases combined yielded 3,870 original articles, of which 10 relevant ones were included for detailed qualitative and comparative reading. The survey underscores important behavior variables: time headway, reaction time, braking behavior, and lane-changing behavior with disparate research approaches in driving simulators, naturalistic driving data, and simulation models. Empirical evidence is provided that driver distraction, hostile driving, and high-tech automated systems greatly affect car-following behavior and traffic safety. Additionally, the need for adaptable models is illustrated through the variations across regions and societies, influencing both parameter tuning and the cross-context applicability of car-following models. Sample size variation among studies provides evidence of the importance of combining detailed individual-level data with broader system-level analysis. The review identifies gaps in geographical range, particularly in low- and middle-income countries, and calls for further studies combining naturalistic driving data and customized behavioral models to promote the safety and efficacy of car-following systems worldwide.
کلیدواژه‌ها
Car-following behavior؛ Driver behavior؛ Traffic safety؛ Risk assessment
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