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Open AccessArticle

Public Transit Route Mapping for Large-Scale Multimodal Networks

1
TEAMverkehr.zug AG, 6330 Cham, Switzerland
2
Institut für Verkehrsplanung und Transportsysteme (IVT), ETH Zurich, 8093 Zurich, Switzerland
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2017, 6(9), 268; https://doi.org/10.3390/ijgi6090268
Received: 29 June 2017 / Revised: 10 August 2017 / Accepted: 21 August 2017 / Published: 26 August 2017
(This article belongs to the Special Issue Geospatial Big Data and Transport)
For the simulation of public transport, next to a schedule, knowledge of the public transport routes is required. While the schedules are becoming available, the precise network routes often remain unknown and must be reconstructed. For large-scale networks, however, a manual reconstruction becomes unfeasible. This paper presents a route reconstruction algorithm, which requires only the sequence and positions of the public transport stops and the street network. It uses an abstract graph to calculate the least-cost path from a route’s first to its last stop, with the constraint that the path must contain a so-called link candidate for every stop of the route’s stop sequence. The proposed algorithm is implemented explicitly for large-scale, real life networks. The algorithm is able to handle multiple lines and modes, to combine them at the same stop location (e.g., train and bus lines coming together at a train station), to automatically reconstruct missing links in the network, and to provide intelligent and efficient feedback if apparent errors occur. GPS or OSM tracks of the lines can be used to improve results, if available. The open-source algorithm has been tested for Zurich for mapping accuracy. In summary, the new algorithm and its MATSim-based implementation is a powerful, tested tool to reconstruct public transport network routes for large-scale systems. View Full-Text
Keywords: mapping; map-matching; public transit; transit routes mapping; map-matching; public transit; transit routes
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MDPI and ACS Style

Poletti, F.; Bösch, P.M.; Ciari, F.; Axhausen, K.W. Public Transit Route Mapping for Large-Scale Multimodal Networks. ISPRS Int. J. Geo-Inf. 2017, 6, 268.

AMA Style

Poletti F, Bösch PM, Ciari F, Axhausen KW. Public Transit Route Mapping for Large-Scale Multimodal Networks. ISPRS International Journal of Geo-Information. 2017; 6(9):268.

Chicago/Turabian Style

Poletti, Flavio; Bösch, Patrick M.; Ciari, Francesco; Axhausen, Kay W. 2017. "Public Transit Route Mapping for Large-Scale Multimodal Networks" ISPRS Int. J. Geo-Inf. 6, no. 9: 268.

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