61 citations · 63 across the 3 of their papers we have counts for
3 papers
cs.AI2025
Toward Dependency Dynamics in Multi-Agent Reinforcement Learning for Traffic Signal Control
Yuli Zhang, Shangbo Wang, Dongyao Jia +4
Reinforcement learning (RL) emerges as a promising data-driven approach for adaptive traffic signal control (ATSC) in complex urban traffic networks, with deep neural networks subs…
cs.LG2022★ 61 cited
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities
Yihong Tang, Ao Qu, Andy H. F. Chow +3
Accurate real-time traffic forecast is critical for intelligent transportation systems (ITS) and it serves as the cornerstone of various smart mobility applications. Though this re…
cs.CV2021★ 2 cited
Turning Traffic Monitoring Cameras into Intelligent Sensors for Traffic Density Estimation
Zijian Hu, William H. K. Lam, S. C. Wong +2
Accurate traffic state information plays a pivotal role in the Intelligent Transportation Systems (ITS), and it is an essential input to various smart mobility applications such as…