/Traffic-Automation-System-Reinforcement-Learning

In this repo, we provide an easy-to-use RL framework for a general dynamic traffic light control use.

Primary LanguagePythonMIT LicenseMIT

Traffic Automation System - Reinforcement Learning

In this repo, we provide an easy-to-use RL framework for a general dynamic traffic light control use. The models we proposed in this paper are universal and adaptable for all similar scenarios, and we hope that this project could raise awareness of government on adopting new technologies to improve the current inefficient traffic system and also systematically prevent people from being hurt by distracted driving and over-speeding.

Acknolewdgment

This is a joint work with Chenyang Zhu, Kanghong Yuan, Aihua Li and Yajie Zhang. You can also view our paper in this repo.

Citation

If you think our work is useful in yours, please kindly cite this repository and the authors.