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cs.LG2026
Human-Centric Traffic Signal Control for Equity: A Multi-Agent Action Branching Deep Reinforcement Learning Approach
Xiaocai Zhang, Neema Nassir, Lok Sang Chan +1
Coordinating traffic signals along multimodal corridors is challenging because many multi-agent deep reinforcement learning (DRL) approaches remain vehicle-centric and struggle wit…
cs.LG2026
Spatio-temporal dual-stage hypergraph MARL for human-centric multimodal corridor traffic signal control
Xiaocai Zhang, Neema Nassir, Milad Haghani
Human-centric traffic signal control in corridor networks must increasingly account for multimodal travelers, particularly high-occupancy public transportation, rather than focusin…
cs.LG2022
A Graph and Attentive Multi-Path Convolutional Network for Traffic Prediction
Jianzhong Qi, Zhuowei Zhao, Egemen Tanin +3
Traffic prediction is an important and yet highly challenging problem due to the complexity and constantly changing nature of traffic systems. To address the challenges, we propose…