Effect of Five Driver’s Behavior Characteristics on Car-Following Safety

Junjie Zhang, Can Yang (), Jun Zhang () and Haojie Ji
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Junjie Zhang: Hefei Innovation Research Institute, Beihang University, Hefei 230012, China
Can Yang: Hefei Innovation Research Institute, Beihang University, Hefei 230012, China
Jun Zhang: Hefei Innovation Research Institute, Beihang University, Hefei 230012, China
Haojie Ji: School of Electronic and Information Engineering, Beihang University, Beijing 100191, China

IJERPH, 2022, vol. 20, issue 1, 1-13

Abstract: Driver’s behavior characteristics (DBCs) influence car-following safety. Therefore, this paper aimed to analyze the effect of different DBCs on the car-following safety based on the desired safety margin (DSM) car-following model, which includes five DBC parameters. Based on the Monte Carlo simulation method, the effect of DBCs on car-following safety is investigated under a given rear-end collision (RECs) condition. We find that larger subjective risk perception levels can reduce RECs, a smaller acceleration sensitivity (or a larger deceleration sensitivity) can improve car-following safety, and a faster reaction ability of the driver can avoid RECs in the car-following process. It implies that DBCs would cause a traffic wave in the car-following process. Therefore, a reasonable value of DBCs can enhance traffic flow stability, and a traffic control strategy can improve car-following safety by using the adjustment of DBCs.

Keywords: car-following safety; desired safety margin; driver’s behavior characteristics; sensitivity analysis (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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