Decision Analysis of Driver’s Driving Based on Bayesian Theory
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.
KeywordsBayesian 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).
- 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
- 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.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.Talaat H, Abdulhai B (2006) Modeling driver psychological deliberation during dynamic route selection processes. IEEE Intelligent Transportation Systems Conference, Toronto, CanadaGoogle Scholar