Map-matching for low-sampling-rate GPS trajectories
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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Offline map matching is a process of associating a sequence of GPS location readings measured with a device held by a traveling user, to the real-world roads that were presumably traveled by the user. The main goals in map matching are (1) to provide an association which is as accurate as possible with respect to actual traveled roads, and (2) to compute the matching as efficiently as possible. We describe our implementation of a map matching algorithm that enables parallel computation of the matching, being developed as part of the ACM SIGSPATIAL CUP 2012 contest, and we present the results of an experimental evaluation over the data of the contest. We show that our algorithm is efficient and robust in the sense that it maintains a high level of accuracy even when the sampling rate is low.