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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Public Transit Labeling
verfasst von : Daniel Delling, Julian Dibbelt, Thomas Pajor, Renato F. Werneck
Erschienen in: Experimental Algorithms
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We study the journey planning problem in public transit networks. Developing efficient preprocessing-based speedup techniques for this problem has been challenging: current approaches either require massive preprocessing effort or provide limited speedups. Leveraging recent advances in Hub Labeling, the fastest algorithm for road networks, we revisit the well-known time-expanded model for public transit. Exploiting domain-specific properties, we provide simple and efficient algorithms for the earliest arrival, profile, and multicriteria problems, with queries that are orders of magnitude faster than the state of the art.