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Effect of Five Driver's Behavior Characteristics on Car-Following Safety
Junjie Zhang1, Can Yang1, Jun Zhang1
1Hefei Innovation Research Institute, Beihang University, Hefei 230012, China.
Driver behavior characteristics significantly impact car-following safety. Adjusting risk perception, acceleration sensitivity, and reaction time can prevent rear-end collisions and improve traffic flow stability.
Area of Science:
- Traffic Safety
- Automotive Engineering
- Human Factors in Driving
Background:
- Driver's behavior characteristics (DBCs) are critical determinants of car-following safety.
- Understanding how specific DBCs influence safety is essential for preventing traffic accidents.
- Existing car-following models often simplify the complex interplay of driver behaviors.
Purpose of the Study:
- To analyze the effect of different driver behavior characteristics (DBCs) on car-following safety.
- To investigate the relationship between DBCs and the occurrence of rear-end collisions (RECs).
- To explore how adjustments in DBCs can enhance traffic flow stability and safety.
Main Methods:
- Utilized the desired safety margin (DSM) car-following model, incorporating five key DBC parameters.
- Employed Monte Carlo simulations to assess the impact of DBCs under defined rear-end collision scenarios.
- Quantified the influence of subjective risk perception, acceleration/deceleration sensitivity, and reaction time.
Main Results:
- Higher subjective risk perception levels were found to reduce the likelihood of RECs.
- Lower acceleration sensitivity (or higher deceleration sensitivity) improved car-following safety.
- Faster driver reaction times were effective in avoiding RECs during car-following.
Conclusions:
- Driver behavior characteristics directly influence traffic wave dynamics in car-following situations.
- Optimizing DBCs can significantly enhance traffic flow stability and overall safety.
- Implementing traffic control strategies focused on adjusting DBCs offers a viable method to improve car-following safety.
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