Traffic flow test platform, especially for reinforcement learning

Traffic Flow Test Platform

Traffic flow test platform, especially for reinforcement learning, named TFTP.

A traffic signal control framework that can combine a variety of reinforcement learning algorithms, traditional algorithms and discrete reinforcement learning algorithms. It has two environments: cityflow and sumo. Several algorithms have been implemented.

How to run

check and modify the main.py in the root folder, then run it.

How to use

this is still an on going project, some algorithm might be not implement or occur some error. but the idea is simple, you can use it to test your idea, add new engine except for sumo and cityflow, add your specific map mode, develop new state, action, reward information, and so on.

this project is NOT implement fully, but can be used now

folder describe

file describe

Structure of round learner

the UML of the class

效果

sumo

cityflow

Curve example in dqn

Note

本代码框架部分思路来源于，感谢他们在算法和程序上做的贡献。

https://github.com/gjzheng93/frap-pub

https://github.com/zxsRambo/metalight

CityFlow

https://github.com/cityflow-project/CityFlow

Sumo

https://www.eclipse.org/sumo/

Contract

Mr. Bai：[email protected]