5 papers
EvolveSignal: A Large Language Model Powered Coding Agent for Discovering Traffic Signal Control Strategies
Leizhen Wang, Peibo Duan, Hao Wang +4
In traffic engineering, fixed-time traffic signal control remains widely used for its low cost, stability, and interpretability. However, its design relies on hand-crafted formulas…
A Multi-scale Perimeter Control and Route Guidance System for Large-scale Road Networks
Xianyue Peng, Hao Wang, Shenyang Chen +1
Perimeter control and route guidance are effective ways to reduce traffic congestion and improve traffic efficiency by controlling the spatial and temporal traffic distribution on…
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…
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…
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.…