Advertisement

Decision Analysis of Driver’s Driving Based on Bayesian Theory

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

Abstract

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.

Keywords

Bayesian theory Driving decision Driving behavior Car following and lane changing 

Notes

Acknowledgements

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

References

  1. 1.
    Zhang Q, Zhao J-X, Dong D-C (2008) Design of intelligent decision support system to traffic incident management. J Railway Sci Eng 5(3):83–88Google Scholar
  2. 2.
    Jin S, Wang D, Tao P, Li P (2010) Non lane based full velocity difference car following model. Physica 389(21):4654–4662CrossRefGoogle Scholar
  3. 3.
    Xing Y, Gao Z, Qu Z, Hua H (2016) Study on vehicle delay based on the vehicle arriving distribution at entrance lanes of intersection. Transp Res Procedia 137:599–608Google Scholar
  4. 4.
    Wang X-Y, Yang X-Y (2008) Study on decision mechanism of driving behavior based on decision tree. J Syst Simul 20(2):415–419Google Scholar
  5. 5.
    Talaat H, Abdulhai B (2006) Modeling driver psychological deliberation during dynamic route selection processes. IEEE Intelligent Transportation Systems Conference, Toronto, CanadaGoogle Scholar
  6. 6.
    Lee S, Son YJ, Jin J (2008) Decision field theory extensions for behavior modeling in dynamic environment using Bayesian belief network. J Inf Sci Int J 178(10):2297–2314MathSciNetzbMATHGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

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

Personalised recommendations