Conference Papers Year : 2016

Minimizing Walking Length in Map Matching

Amin Gheibi
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Anil Maheshwari
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Jörg-Rüdiger Sack
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Abstract

In this paper, we propose a geometric algorithm for a map matching problem. More specifically, we are given a planar graph, H, with a straight-line embedding in a plane, a directed polygonal curve, T, and a distance value ε>0. The task is to find a path, P, in H, and a parameterization of T, that minimize the sum of the length of walks on T and P whereby the distance between the entities moving along P and T is at most εε, at any time during the walks. It is allowed to walk forwards and backwards on T and edges of H. We propose an algorithm with O(mn(m+n)log(mn)) time complexity and O(mn(m+n)) space complexity, where m (n, respectively) is the number of edges of H (of T, respectively). As we show, the algorithm can be generalized to work also for weighted non-planar graphs within the same time and space complexities.

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hal-01446266 , version 1 (25-01-2017)

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Amin Gheibi, Anil Maheshwari, Jörg-Rüdiger Sack. Minimizing Walking Length in Map Matching. 1st International Conference on Theoretical Computer Science (TTCS), Aug 2015, Tehran, Iran. pp.105-120, ⟨10.1007/978-3-319-28678-5_8⟩. ⟨hal-01446266⟩
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