Lightning Talk 2: Providing Real-Time En-Route Suggestions to CAVs for Congestion Mitigation: A Two-Way Deep Reinforcement Learning Approach
Title: Providing Real-Time En-Route Suggestions to CAVs for Congestion Mitigation: A Two-Way Deep Reinforcement Learning Approach
Authors: Xiaoyu Ma, Xiaozheng (Sean) He
Abstract: This research investigates the effectiveness of information provision for congestion reduction in Connected Autonomous Vehicle (CAV) systems. The inherent advantages of CAVs, such as vehicle-to-everything communication, advanced vehicle autonomy, and reduced human involvement, make them conducive to achieving Correlated Equilibrium (CE). Leveraging...
Keywords: Information provision; Correlated Equilibrium; Reinforcement learning; Connected autonomous vehicles; Congestion mitigation