24 citations · 36 across the 3 of their papers we have counts for
3 papers
eess.SY2024★ 10 cited
Traffic Signal Cycle Control with Centralized Critic and Decentralized Actors under Varying Intervention Frequencies
Maonan Wang, Yirong Chen, Yuheng Kan +4
Traffic congestion in urban areas is a significant problem, leading to prolonged travel times, reduced efficiency, and increased environmental concerns. Effective traffic signal co…
eess.SY2023★ 24 cited
UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control
Maonan Wang, Xi Xiong, Yuheng Kan +2
Traffic congestion is a persistent problem in urban areas, which calls for the development of effective traffic signal control (TSC) systems. While existing Reinforcement Learning…
eess.SY2022★ 2 cited
ADLight: A Universal Approach of Traffic Signal Control with Augmented Data Using Reinforcement Learning
Maonan Wang, Yutong Xu, Xi Xiong +3
Traffic signal control has the potential to reduce congestion in dynamic networks. Recent studies show that traffic signal control with reinforcement learning (RL) methods can sign…