pyraptor 0.2.1

Journey planner with RAPTOR algorithm

PyRaptor

Python implementation of RAPTOR using GTFS data.

Three applications:

• pyraptor/gtfs/timetable.py - Extract the time table information for one operator from a GTFS dataset and write it to an optimized format for querying with RAPTOR.
• pyraptor/query.py - Get the best journey for a given origin, destination and desired departure time using RAPTOR
• pyraptor/range_query.py - Get a list of the best journeys to all destinations for a given origin and desired departure time window using RAPTOR

Installation

Install from PyPi using pip install pyraptor or clone this repository and install from source using pip.

Example usage

1. Create timetable from GTFS

python pyraptor/gtfs/timetable.py -d "20210223" -a NS

2. Run queries on timetable

python pyraptor/query.py -i output/optimized_timetable -or "Arnhem Zuid" -d "Oosterbeek" -t "08:30:00"

python pyraptor/range_query.py -i output/optimized_timetable -or "Arnhem Zuid" -d "Oosterbeek" -st "08:00:00" -et "08:30:00"

References

Round-Based Public Transit Routing, Microsoft.com, Daniel Delling et al

Raptor, another journey planning algorithm, Linus Norton

Dutch GTFS feed, Transit Feeds