novinsh / traffic_forecasting

Traffic forecasting for the city of Tartu

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traffic_forecasting

Project structure

  • download_data.sh downloads all data files necessary to the project.
  • prepare_data.sh unzips and does preliminary preparations to setup the data.
  • eda.ipynb explanatory data analysis.
  • cluster_data.py script to cluster the data.
  • learn_edge_counts.py script to learn edges counts based on the cluster centers.

data setup

After downloading and preparing the data using the two scripts, following directories will be created.

  • aggregated/: Contains small data
  • data/: Contains full/large data
  • edge_info.csv: graph of the network could be constructed based on
  • tartu_edge.csv: ???

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Traffic forecasting for the city of Tartu


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Language:Jupyter Notebook 96.1%Language:Python 3.7%Language:Shell 0.2%