Route Planning in Transportation Networks
Abstract
We survey recent advances in algorithms for route planning in transportation networks. For road networks, we show that one can compute driving directions in milliseconds or less even at continental scale. A variety of techniques provide different trade-offs between preprocessing effort, space requirements, and query time. Some algorithms can answer queries in a fraction of a microsecond, while others can deal efficiently with real-time traffic. Journey planning on public transportation systems, although conceptually similar, is a significantly harder problem due to its inherent time-dependent and multicriteria nature. Although exact algorithms are fast enough for interactive queries on metropolitan transit systems, dealing with continent-sized instances requires simplifications or heavy preprocessing. The multimodal route planning problem, which seeks journeys combining schedule-based transportation (buses, trains) with unrestricted modes (walking, driving), is even harder, relying on approximate solutions even for metropolitan inputs.
Cite
@article{arxiv.1504.05140,
title = {Route Planning in Transportation Networks},
author = {Hannah Bast and Daniel Delling and Andrew Goldberg and Matthias Müller-Hannemann and Thomas Pajor and Peter Sanders and Dorothea Wagner and Renato F. Werneck},
journal= {arXiv preprint arXiv:1504.05140},
year = {2015}
}
Comments
This is an updated version of the technical report MSR-TR-2014-4, previously published by Microsoft Research. This work was mostly done while the authors Daniel Delling, Andrew Goldberg, and Renato F. Werneck were at Microsoft Research Silicon Valley