MOSS Optimization Showcases

Requirements

pip install -r requirements.txt

Traffic Signal Control

Code and datasets are inside ./traffic_signal_control.

The hangzhou dataset contains 16 junctions. The manhattan dataset contains 48 junctions.

To visualize the datasets, use visualize.ipynb

To run baseline algorithms:

# Fixed time traffic signal control
python run_baseline.py --algo fixed_time --data data/hangzhou
# Max pressure traffic signal control
python run_baseline.py --algo max_pressure --data data/hangzhou
# SOTL traffic signal control
python run_baseline.py --algo sotl --data data/hangzhou
# Builtin version of fixed_time
python run_baseline.py --algo ft_builtin --data data/hangzhou
# Builtin version of max_pressure (considers phase fairness, different from above)
python run_baseline.py --algo mp_builtin --data data/hangzhou

To train DQN:

python run_dqn.py --data data/hangzhou

The training process can be visualized with tensorboard. For example,