Inspiration

Help people locate the best station to drive to in order to maximize parking usage and customer satisfaction.

What it does

  • Batch user requests to process them together.
  • Dispatch users to the nearest train station with available parking.
  • Minimize overall travel time.

How we built it

  • Bipartite min-cost max-flow matching to assign users to train stations

Challenges we ran into

  • Frontend.
  • Piping the technologies we used.

Accomplishments that we're proud of

  • The modularity of our code allows to easily add updates.
  • Used algorithms knowledge in a concrete project.
  • First Hackaton and a finished project at the deadline.

What we learned

  • Frontend is pretty, but is a pain in the neck.
  • Combine different programming languages with the console and output files.
  • Google Maps API and CFF API.

What's next for holyflapmat

  • Advanced user batching according to deadlines and timetable.
  • Car sharing according to users car itinerary to the station.
  • More preferences for more customization.
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