2 papers
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…
eess.SY2023
Joint Optimization of Traffic Signal Control and Vehicle Routing in Signalized Road Networks using Multi-Agent Deep Reinforcement Learning
Xianyue Peng, Hang Gao, Gengyue Han +2
Urban traffic congestion is a critical predicament that plagues modern road networks. To alleviate this issue and enhance traffic efficiency, traffic signal control and vehicle rou…