Study and Simulation Analysis of Vehicle Rear-End Collision Model considering Driver Types

The reasonable distance between adjacent cars is very crucial for roadway traffic safety. For different types of drivers or different driving environments, the required safety distance is different. However, most of the existing rear-end collision models do not fully consider the subjective factor s...

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Bibliographic Details
Published in:Journal of advanced transportation 2020, Vol.2020 (2020), p.1-11
Main Authors: Yang, Junheng, Zang, Xiaodong, Yuan, Jie, Chen, Xinqiang, Luo, Qiang, Chen, Jing
Format: Article
Language:English
Subjects:
Age
Automobile drivers
Car following
Computer simulation
Decision making
Drivers
Driving ability
Kinematics
Physiology
Reaction time
Roads
Safety
Safety regulations
Simulation analysis
Traffic accidents
Traffic accidents & safety
Traffic control
Traffic flow
Traffic safety
Transportation
Vehicle safety
Vehicles
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Summary:The reasonable distance between adjacent cars is very crucial for roadway traffic safety. For different types of drivers or different driving environments, the required safety distance is different. However, most of the existing rear-end collision models do not fully consider the subjective factor such as the driver. Firstly, the factors affecting driving drivers’ characteristics, such as driver age, gender, and driving experience are analyzed. Then, on the basis of this, drivers are classified according to reaction time. Secondly, three main factors affecting driving safety are analyzed by using fuzzy theory, and the new calculation method of the reaction time is obtained. Finally, the improved car-following safety model is established based on different reaction time. The experimental results have shown that our proposed model obtained more accurate vehicle safety distance with varied traffic kinematic conditions (i.e., different traffic states, varied driver types, etc.). The findings can help traffic regulation departments issue early warnings to avoid potential traffic accidents on roads.
ISSN:0197-6729
2042-3195
DOI:10.1155/2020/7878656