DynamicLight: Two-Stage Dynamic Traffic Signal Timing

1 code implementation • 2 Nov 2022 • Liang Zhang, Yutong Zhang, Shubin Xie, Jianming Deng, Chen Li

Reinforcement learning (RL) is gaining popularity as an effective approach for traffic signal control (TSC) and is increasingly applied in this domain.

Q-Learning Reinforcement Learning (RL)

DynLight: Realize dynamic phase duration with multi-level traffic signal control

no code implementations • 7 Apr 2022 • Liang Zhang, Shubin Xie, Jianming Deng

We would like to withdraw this article for the following reasons: 1 this article is not satisfactory for limited language and theoretical description; 2 we have enriched and revised this article with the help of other authors; 3 we must update the author contribution information.

Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control Optimization

2 code implementations • 30 Dec 2021 • Liang Zhang, Shubin Xie, Jianming Deng

We propose two new methods: (1) Max Queue-Length (M-QL), an optimization-based traditional method designed based on the property of queue length; and (2) AttentionLight, an RL model that employs the self-attention mechanism to capture the signal phase correlation without requiring human knowledge of phase relationships.

Reinforcement Learning (RL)