Game analysis of car drivers' lane-changing behaviors considering angry feelings

doi:10.16265/j.cnki.issn1003-3033.2020.02.026

Abstract

Abstract: In order to develop a personalized human-centered safe driving warning system to enhance driving safety, an improved lane-changing game model considering drivers' emotions was constructed based on the traditional one by using incomplete information dynamic game theory. Then, game benefits of two sides for changing lanes during two phases of normal driving and angry driving were calculated in turn, and the model was validated by using lane changing traffic data of 30 subjects with two kinds of emotions to explore characteristics of lane changing decision-making game. The study shows that drivers' emotional factors have significant influence on lane changing behaviors. When drivers of target vehicle are angry, they tend to change lanes more frequently than that with normal emotions.

Key words: driver, early warning system, lane changing behavior, anger, game analysis

CLC Number:

X910

LI Mengqi, ZHANG Jinglei. Game analysis of car drivers' lane-changing behaviors considering angry feelings[J]. China Safety Science Journal, 2020, 30(2): 165-170.

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