The project was created as part of the Social and Technological Networks class during my AI MSc in the University of Edinburgh (2018/19). It was awarded a grade of 90/100 (A1). Further information can be found in the report file.

As the amount of available data increases so do the opportunities of approaching old problems from a different viewpoint. Our paper tests a novel approach in creating bus routes based on open-data, using taxi trips in Manhattan. After building a bus transportation network we compare its performance to taxis and find that on average it requires 18 more minutes to complete a journey.

1. TaxiDataParser.py
2. SampleTrips.py
3. ClusterEndpoints.py
4. RelocateBusStops.py
5. ClusterBusStops.py
6. CreateBusRoutes.py
7. GraphBusRoutes.py
8. RelocateTrips.py
9. CalculateBusTrips.py
10. ProcessResults.py