Podium Session 6: Markov Game for CV Joint Adaptive Routing in Stochastic Traffic Networks: A Scalable Learning Approach
Title: Markov Game for CV Joint Adaptive Routing in Stochastic Traffic Networks: A Scalable Learning Approach
Authors: Shan Yang, Yang Liu
Abstract: This study proposes a learning-based approach to tackle the challenge of joint adaptive routing in stochastic traffic networks with Connected Vehicles (CVs). We introduce a Markov Routing Game (MRG) to model the adaptive routing behavior of all vehicles in such networks, thereby incorporating both competitive route choices and real-time decision-ma...
Keywords: Markov routing game; Connected vehicles; Joint adaptive routing; Mean-field multi-agent reinforcement learning; Stochastic traffic network