A near direct implementation of the Round bAsed Public Transit Optimized Router (Raptor) journey planning algorithm as described in the paper.
It does not contain the multi-threading or multi-criteria (mcRaptor) variants but does contain the range query (rRaptor) algorithm.
Variations from the paper implementation:
- Taking a footpath counts towards the number of changes (journey legs)
- Interchange time at each station is applied
- Pickup / set down marker of stop times are obeyed
- Calendars are checked to ensure services are running on the specified day
The algorithm can be run on any GTFS data set via the CLI.
sudo npm install -g raptor-journey-planner
raptor gtfs.zip stopA stopB yyyyMMdd
# e.g
raptor gb-rail.zip NRW STA 20180515
Alternatively, it can be used as a library:
const {loadGTFS, JourneyFactory, RaptorQueryFactory} = require("raptor-journey-planner");
const gtfs = await loadGTFS("gtfs.zip");
const resultsFactory = new JourneyFactory();
const query = RaptorQueryFactory.createDepartAfterQuery(...gtfs, factory);
const journeys = query.plan("NRW", "STA", 20180515, 9 * 60 * 60);
Issues and PRs are very welcome. To get the project set up run:
git clone [email protected]:planarnetwork/raptor
npm install --dev
npm test
If you would like to send a pull request please write your contribution in TypeScript and if possible, add a test.
This software is licensed under GNU GPLv3.