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Using historical MBTA transit data, we demonstrate that machine learning models can accurately and effectively improve the wait time estimation for public transit systems.

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DS4400-Project

Recompute datasets (optional)

mkdir datasets
cd datasets
# download datasets from https://drive.google.com/drive/folders/1XFQqWuOAkiDSIUuU3IVS0DPfzgqwH1f5?usp=sharing
cd ../dataframe
python3 save.py
python3 convert_to_features.py
python3 save_weather.py

Install Conda env

conda env create -f environment.yml
conda activate machine-learning

Run code

jupyter notebook src

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Using historical MBTA transit data, we demonstrate that machine learning models can accurately and effectively improve the wait time estimation for public transit systems.

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