Traffic flow test Framework, especially for reinforcement learning, named TFTF.
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.
check and modify the main.py in the root folder, then run it.
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 | describtion |
|---|---|
| algs | algorithm |
| data | traffic files and information |
| configs | config class |
| misc | tools maybe used by the project |
| envs | environment including sumo and cityflow |
| records | the output on the running process |
| tmp | for debuging, tesing the gramma, and so on. |
| file name | information |
|---|---|
| main.py | main entrance |
sumo
cityflow
Curve example in dqn
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
Mr. Bai：1872040489@qq.com