The code for article Efficient Pressure: Improving efficiency for signalized intersections.

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

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

Parameters are well prepared so you can run the code directly.

For Efficient-PressLight, run:

python run_efficient_presslight.py

For Efficient-CoLight, run:

python run_efficient_colight.py

For Efficient-MPLight, run:

python run_efficient_mplight.py

For the baseline methods,

• 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

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

The code is modified from MPLight.

The Max-Pressure is created by ourselves, based on MaxPressure .

• PressLight: Bsed on LIT model, which comes from Colight.
• Colight : Based on Colight.
• Fixed-Time: From MPLight.
• MPLight: From MPLight.

If you use our method and code, please cite our article.