This repository contains the code used for the experiments in our paper of the above name, along with some experimental results (soon!)

1. Install SUMO version 1.7.0 and set SUMO_HOME to point to that installation
2. Install python 3.6 or above
3. Clone this repository
4. (If desired) Create a virtual environment for this project and activate it

   python3 -m venv ./mergeEnv/
   source mergeEnv/bin/activate
   

5. (If CUDA support is desired) Install PyTorch with CUDA support, following the instructions on the PyTorch website.
6. Install the other requirements with pip

   cd RL-MPC-LaneMerging
   pip install -r requirements.txt
   

7. Compile the Cython: python setup.py build_ext --inplace

Run main.py, using the name of the desired configuration file as an argument. All configuration files used for our experiments can be found in the configs folder.

python main.py configs/<settings>.json

The results of each experiment will be appended to a file named run_data.csv.

See the experiment_data folder