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Published in:
2009 | OriginalPaper | Chapter
Pareto Paths with SHARC
Authors : Daniel Delling, Dorothea Wagner
Published in: Experimental Algorithms
Publisher: Springer Berlin Heidelberg
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Up to now, research on speed-up techniques for
Dijkstra
’s algorithm focused on
single-criteria
scenarios. The goal was to find the quickest route within a transportation network. However, the quickest route is often not the best one. A user might be willing to accept slightly longer travel times if the cost of the journey is less. A common approach to cope with such a situation is to find
Pareto-optimal
(concerning other metrics than travel times) routes. Such routes have the property that each route is better than any other route with respect to at least one metric under consideration, e.g., travel costs or number of train changes. In this work, we study multi-criteria search in road networks. On the one hand, we focus on the problem of limiting the number of Pareto paths. On the other hand, we present a multi-criteria variant of our recent SHARC algorithm.