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cs.LG2024
CycLight: learning traffic signal cooperation with a cycle-level strategy
Gengyue Han, Xiaohan Liu, Xianyue Peng +2
This study introduces CycLight, a novel cycle-level deep reinforcement learning (RL) approach for network-level adaptive traffic signal control (NATSC) systems. Unlike most traditi…
cs.LG2023★ 1 cited
Combat Urban Congestion via Collaboration: Heterogeneous GNN-based MARL for Coordinated Platooning and Traffic Signal Control
Xianyue Peng, Shenyang Chen, Hang Gao +2
Over the years, reinforcement learning has emerged as a popular approach to develop signal control and vehicle platooning strategies either independently or in a hierarchical way.…