A Study on Pedestrian–Vehicle Conflict at Unsignalized Crosswalks Based on Game Theory

Xu Sun, Kun Lin, Yu Wang, Shuo Ma and Huapu Lu
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Xu Sun: School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Kun Lin: Fuzhou Planning and Design Research Institute Group Co., Ltd., Fuzhou 350108, China
Yu Wang: School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Shuo Ma: School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Huapu Lu: Institute of Transportation Engineering, Tsinghua University, Beijing 100084, China

Sustainability, 2022, vol. 14, issue 13, 1-16

Abstract: A dynamic game model based on multiple decision makers is developed to minimize pedestrian–vehicle conflicts at unsignalized crosswalks. The characteristics of pedestrians and drivers crossing the street are divided into traffic features, behavioral characteristics, and psychological factors, using data collected from a survey of pedestrian crossing behavior. Based on waiting delay and risk assessment, a utility model of pedestrian crossing choice behavior is presented, and a probability model for different phases of the waiting stage is developed by splitting the waiting process into three stages with pedestrian waiting duration. The payment function and the game model of pedestrian–vehicle conflict based on distinct previous decision makers are developed using game theory and “mixed strategy”, and they are resolved in equilibrium.

Keywords: pedestrian–vehicle conflict; behavioral characteristics; utility payments; game theory; decision model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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