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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Junjie Zhang & Can Yang & Jun Zhang & Haojie Ji, 2022. "Effect of Five Driver’s Behavior Characteristics on Car-Following Safety," IJERPH, MDPI, vol. 20(1), pages 1-13, December.
    • Handle: RePEc:gam:jijerp:v:20:y:2022:i:1:p:76-:d:1010038
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    References listed on IDEAS

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