i-Rebalance: Personalized Vehicle Repositioning for Supply Demand Balance

no code implementations • 9 Jan 2024 • Haoyang Chen, Peiyan Sun, Qiyuan Song, Wanyuan Wang, Weiwei Wu, Wencan Zhang, Guanyu Gao, Yan Lyu

To optimize supply-demand balance and enhance preference satisfaction simultaneously, i-Rebalance has a sequential reposition strategy with dual DRL agents: Grid Agent to determine the reposition order of idle vehicles, and Vehicle Agent to provide personalized recommendations to each vehicle in the pre-defined order.

Real-Time Network-Level Traffic Signal Control: An Explicit Multiagent Coordination Method

no code implementations • 15 Jun 2023 • Wanyuan Wang, Tianchi Qiao, Jinming Ma, Jiahui Jin, Zhibin Li, Weiwei Wu, Yichuan Jian

Key to the challenge of TSC includes 1) the essential of real-time signal decision, 2) the complexity in traffic dynamics, and 3) the network-level coordination.

Reinforcement Learning (RL)