1 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.AI2023★ 1 cited
A Novel Multi-Agent Deep RL Approach for Traffic Signal Control
Shijie Wang, Shangbo Wang
As travel demand increases and urban traffic condition becomes more complicated, applying multi-agent deep reinforcement learning (MARL) to traffic signal control becomes one of th…
cs.LG2023★ 1 cited
A Dynamic Temporal Self-attention Graph Convolutional Network for Traffic Prediction
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. There have been many attempts to predict…
cs.GT2023
Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach
Yuli. Zhang, Shangbo. Wang, Ruiyuan. Jiang
Reinforcement Learning (RL) is currently one of the most commonly used techniques for traffic signal control (TSC), which can adaptively adjusted traffic signal phase and duration…