A Novel Multi-Agent Deep RL Approach for Traffic Signal Control

no code implementations • 5 Jun 2023 • Shijie Wang, Shangbo Wang

In this paper, we propose a Friend-Deep Q-network (Friend-DQN) approach for multiple traffic signal control in urban networks, which is based on an agent-cooperation scheme.

reinforcement-learning Reinforcement Learning (RL)

Large-Scale Traffic Signal Control Using Constrained Network Partition and Adaptive Deep Reinforcement Learning

no code implementations • 21 Mar 2023 • Hankang Gu, Shangbo Wang, Xiaoguang Ma, Dongyao Jia, Guoqiang Mao, Eng Gee Lim, Cheuk Pong Ryan Wong

However, the existing partitioning rules either have no constraints on the topology of regions or require the same topology for all regions.

Multi-agent Reinforcement Learning reinforcement-learning

A Dynamic Temporal Self-attention Graph Convolutional Network for Traffic Prediction

no code implementations • 21 Feb 2023 • Ruiyuan Jiang, Shangbo Wang, Yuli Zhang

Accurate traffic prediction in real time plays an important role in Intelligent Transportation System (ITS) and travel navigation guidance.

Traffic Prediction