Official code for article "Expression is enough: Improving traffic signal control with advanced traffic state representation"

Overview

1 Introduction

Official code for article "Expression is enough: Improving traffic signal control with advanced traffic state representation".

The code structure is based on Efficient_XLight.

2 Requirements

python3.6,tensorflow=2.4, cityflow, pandas, numpy

cityflow needs a linux environment, and we run the code on Manjaro Linux.

3 Usage

Parameters are well-prepared, and you can run the code directly.

Our proposed method:

  • For Advanced-MPLight, run:
python run_advanced_mplight.py
  • For Advanced-CoLight, run:
python run_advanced_colight.py
  • For Advanced-MP, run:
python run_advanced_maxpressure.py

For the baseline methods:

  • Efficient-PressLight
python run_efficient_presslight.py
  • Efficient-CoLight
python run_efficient_colight.py
  • Efficient-MPLight`
python run_efficient_mplight.py
  • Fixed-Time
python run_fixedtime.py
  • Max-Pressure
python run_maxpressure.py
  • PressLight
python run_presslight.py
  • MPLight
python run_mplight.py
  • Colight
python run_colight.py

4、Code details

4.1、structure

  • models: contains all the models used in our article.
  • utils: contains all the methods to simulate and train the models.

4.2、Reference

The code is modified from Efficient_XLight. The Max-Pressure is created by ourselves, based on MaxPressure .

If you use our method, please cite our article.

@misc{zhang2021expression,
      title={Expression is enough: Improving traffic signal control with advanced traffic state representation}, 
      author={Liang Zhang and Qiang Wu and Jun Shen and Linyuan Lü and Jianqing Wu and Bo Du},
      year={2021},
      eprint={2112.10107},
      archivePrefix={arXiv},
      primaryClass={cs.AI}
}
Owner
Liang Zhang
Research on reinforcement learning and theoretical ecology. Dream to change the world.
Liang Zhang
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