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arXiv · 1505.01446

Public Transit Labeling

Daniel Delling·Julian Dibbelt·Thomas Pajor·Renato F. Werneck
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Abstract

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.

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Daniel Delling, Julian Dibbelt, Thomas Pajor, Renato F. Werneck. 2015-05-06. Public Transit Labeling. https://arxiv.org/abs/1505.01446

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