Chang-Jiang Zheng

Urban Vehicle Route Choice Modeling Based on Multi-Source Trajectory Data and Adversarial Inverse Reinforcement Learning

To address the limitations of traditional route choice models, including their dependence on manually constructed path sets, their difficulty in capturing nonlinear decision preferences, and their insufficient consideration of dynamic congestion factors, this paper proposes an urban vehicle route choice modeling method...