CS224W

How to run code

Download Uber Movement data and put in this folder:
- San Francisco:
  - movement-speeds-quarterly-by-hod-san-francisco-2019-Q2.csv.zip
- New York:
  - movement-speeds-quarterly-by-hod-new-york-2019-Q2.csv.zip
- Seattle:
  - movement-speeds-quarterly-by-hod-seattle-2019-Q2.csv.zip
Install necessary packages with conda env create -f environment.yml
Run download_osm.py to download OSM maps for San Francisco, New York, Seattle.

Get Google Cloud set up.
Get OpenStreetMap nodes/ways as a networkx graph using osmnx (or some other library).

Use Uber Movement data to add traffic information to the graph. We have the OpenStreetMap mapping so it should not be hard.
Convert graph from networkx to pytorch_geometric using torch_geometric.utils.from_networkx
Run GCN, GraphSAGE or whatever using pytorch geometric.

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
README.md		README.md
Uber Movement Data Exploration.ipynb		Uber Movement Data Exploration.ipynb
Uber Movement OSM Testing.ipynb		Uber Movement OSM Testing.ipynb
baseline.py		baseline.py
data_loader.py		data_loader.py
download_osm.py		download_osm.py
environment.yml		environment.yml
geometric.py		geometric.py