Reconstruction of Public Transport Routes Based on Imperfect GTFS and OpenStreetMap Data

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" summary

Reconstructs SUMO route geometry by extending gtfs2pt with stop clustering, OSM–GTFS matching and a constrained graph search that limits candidate edges by OSM usage, edge type and line priorities and searches shortest paths across whole trips instead of isolated stop pairs. Implements a dual router, stop matching and loop handling, applies penalty weights for low‑priority streets, and evaluates on Magdeburg against gtfs2pt and ground truth. Results show large differences: only about 26% of bus trips match exactly with gtfs2pt, and the new method recovers many special trips and wrong gtfs2pt detours caused by outdated OSM.

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" chapters (8)

1. 0:00GTFS and OSM data challenges
2. 2:10Public transport route challenges
3. 6:36Clustering stops for matching
4. 9:05Finding trip routes between stops
5. 13:06Selecting optimal paths
6. 16:27Route reconstruction example
7. 17:34Comparing with GTFS-PT tools
8. 23:07Summary and insights