Implementation of Round bAsed Public Transit Optimized Router (RAPTOR): https://www.microsoft.com/en-us/research/publication/round-based-public-transit-routing/

Currently hardcoded to use the BART GTFS feed stored as a sqllite db: db/gtfs_db.

1. Install dependencies

   pip3 install requirements.txt
   

2. Load GTFS data into local SQLite DB

   python3 ./pyraptor/db_loader.py <gtfs_file.zip>
   

3. Run server

   FLASK_DEBUG=1 FLASK_APP=pyraptor flask run
   

4. Issue requests using GTFS specified stop ids. For BART these are the first column here: https://transitfeeds-data.s3-us-west-1.amazonaws.com/public/feeds/bart/58/20180920/original/stops.txt

   curl "http://127.0.0.1:5000/route?origin_stop_id=12TH&dest_stop_id=19TH" | jq .
   
   [
   [
       "9:38:53 -- Embark from: 12th St. Oakland City Center",
       "Take the Richmond - Daly City/Millbrae Subway towards Richmond",
       "9:49:00 -- Disembark at: 19th St. Oakland"
   ]
   ]
   

• add transfers
• local pruning
• cleanup db loading/settings

• Timezone not considered, so queries without explicit departure time assume departure time is now for local timezone, but do not convert to transit agency timezone
• Day of week not considered, to fix this update stop_times building in timetable.py to cross-reference information in trips.txt to only add stop times relevant for the current day