Do road users play Nash Equilibrium? A comparison between Nash and Logistic stochastic Equilibriums for multiagent modeling of road user interactions in shared spaces
作者：
Highlights：
• Markov Game models are developed for road user interactions in shared space areas.
• Two novel multi-agent modeling approaches are proposed.
• Different equilibrium behavioral theories (Nash and LSBR Equilibriums) are used.
• The LSBRE-based multi-agent model outperformed the NE-based multi-agent model.
• The findings determine a paradigm to model equilibrium in transportation systems.
摘要
•Markov Game models are developed for road user interactions in shared space areas.•Two novel multi-agent modeling approaches are proposed.•Different equilibrium behavioral theories (Nash and LSBR Equilibriums) are used.•The LSBRE-based multi-agent model outperformed the NE-based multi-agent model.•The findings determine a paradigm to model equilibrium in transportation systems.
论文关键词：Shared space,Microsimulation,Cyclist and pedestrian,Multiagent model,Reward function,Nash Equilibrium
论文评审过程：Received 30 January 2022, Revised 26 May 2022, Accepted 29 May 2022, Available online 2 June 2022, Version of Record 4 June 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.117710
