1. School of Mathematics and Information Science, Nanchang Hangkong University, Nanchang Jiangxi 330063, China;
2. The Third Branch of Ethnic Education, Nanchang Institute of Science and Technology, Nanchang Jiangxi 330108, China
Game Analysis of Driving Behavior in Mixed-Traffic
ZHANG Lin1, HUANG Xuan-wei1,2, WU Wei-ming1
1. School of Mathematics and Information Science, Nanchang Hangkong University, Nanchang Jiangxi 330063, China;
2. The Third Branch of Ethnic Education, Nanchang Institute of Science and Technology, Nanchang Jiangxi 330108, China
摘要A utility function of driving behavior for non-motor and motor vehicles is built based on dynamic reduplicate game theory to study the decision-making behavior of a driver for non-motor and motor vehicles in a mixed-traffic environment. This utility is built according to a driver's personality that affects decision-making behavior, time refinement, and time difference to a conflict point between non-motor vehicles and motor vehicles in each period. Analyzing the utility function of driving behavior for non-motor and motor vehicles, shows that a Nash equilibrium exists in the game process, and the optimal decision-making for non-motor and motor vehicles in a dynamic game is obtained. The illustration shows that during decision-making (1) impulsive drivers choose the acceleration strategy; (2) mild drivers prefer the uniform or deceleration strategy; and (3) cautious drivers choose the deceleration strategy.
Abstract:A utility function of driving behavior for non-motor and motor vehicles is built based on dynamic reduplicate game theory to study the decision-making behavior of a driver for non-motor and motor vehicles in a mixed-traffic environment. This utility is built according to a driver's personality that affects decision-making behavior, time refinement, and time difference to a conflict point between non-motor vehicles and motor vehicles in each period. Analyzing the utility function of driving behavior for non-motor and motor vehicles, shows that a Nash equilibrium exists in the game process, and the optimal decision-making for non-motor and motor vehicles in a dynamic game is obtained. The illustration shows that during decision-making (1) impulsive drivers choose the acceleration strategy; (2) mild drivers prefer the uniform or deceleration strategy; and (3) cautious drivers choose the deceleration strategy.
张邻, 黄选伟, 吴伟明. 机非混行驾驶行为博弈分析[J]. Journal of Highway and Transportation Research and Development, 2015, 9(3): 85-93.
ZHANG Lin, HUANG Xuan-wei, WU Wei-ming. Game Analysis of Driving Behavior in Mixed-Traffic. Journal of Highway and Transportation Research and Development, 2015, 9(3): 85-93.
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