基于博弈论的考虑驾驶员非理性的交叉口驾驶决策算法

Guanming Liu, Bin Xiao, Daofei Li
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引用次数: 1

摘要

无信号交叉口的交通复杂性导致了大量的交通事故,其中一些事故是由于其他交通用户的不考虑判断而导致的不适当的决策。本文以一个十字路口驾驶场景为例,分析了两辆交叉车辆在无红绿灯路口的决策行为,同时考虑了安全系数、交通效率和驾驶员非理性等因素的影响。我们提出了一种相应的实用新型,将整个动态过程视为有限重复博弈。采用纳什均衡方法求解交叉口的决策问题。仿真和人在环实验验证了所提决策算法的有效性。
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Game-theory Based Driving Decision Algorithm for Intersection Scenarios Considering Driver Irrationality
Traffic complexities in no-signal intersections lead to amounts of accidents, among of which are due to inappropriate decision based on inconsiderate judgements of the other traffic users. Focusing on an example intersection driving scenario, this paper analyses the decision-making behaviour of two crossing vehicles at intersections without traffic lights, while considering the influence of safety factor, traffic efficiency and drivers' irrationality, etc. We propose a corresponding utility model to treat the whole dynamic process as finite repeated games. Nash Equilibrium approach is adopted to solve the decision-making problem at intersections. The effectiveness of the proposed decision algorithm is validated by both simulation and human-in-the-loop experiments.
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