Decision Analysis of Driver’s Driving Based on Bayesian Theory

  • Yan Xing
  • Jinling Wang
  • Shuai Bian
  • Weidong LiuEmail author
  • Zhu Bai
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 503)


Through the analysis of drivers’ psychological decision-making process under different influencees and combined with Bayesian probability theory, the driver’s driving decision is studied under the influence of the relative distance between the target vehicle and the leading vehicle, the relative distance between the target vehicle and the lateral object, the acceleration variation between adjacent vehicles, the relative speed between the target vehicle and the leading vehicle, and the relative speed between the target vehicle and the lateral vehicle. The probability of driver’s acceleration, deceleration, car following, lane changing, parking, and other behaviors are determined. Finally, based on the above research, the relationship model between the driver’s psychological pressure and the motor vehicle running characteristics was established.


Bayesian theory Driving decision Driving behavior Car following and lane changing 



This work is supported by China Postdoctoral Science Foundation (No. 2016M601373). The project of Shenyang Social Sciences Association (SYSK2017-08-05).


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Yan Xing
    • 1
    • 2
  • Jinling Wang
    • 1
  • Shuai Bian
    • 1
  • Weidong Liu
    • 1
    Email author
  • Zhu Bai
    • 1
  1. 1.State Key Laboratory of Automobile Simulation and ControlJilin UniversityChangchunChina
  2. 2.School of Transportation EngineeringShenyang Jianzhu UniversityLiaoning ShenyangChina

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