Code for paper:
Enhancing Robustness of Deep Reinforcement Learning Based Adaptive Traffic Signal Controllers in Mixed Traffic Environments Through Data Fusion and Multi-Discrete Actions.
This repository accompanies the publication:
https://doi.org/10.1109/TITS.2024.3399066
If you use this framework in your research, please cite:
Yang, T., & Fan, W. (2024).
Enhancing robustness of deep reinforcement learning based adaptive traffic signal controllers in mixed traffic environments through data fusion and multi-discrete actions.
IEEE Transactions on Intelligent Transportation Systems, 25(10), 14196-14208.
https://doi.org/10.1109/TITS.2024.3399066