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A Map Matching Algorithm to Eliminate Miscalculation Based on Low-Sample-Rate Data
2014
Proceedings of the 3rd International Conference on Computer Science and Service System
unpublished
Map-matching is the technology of aligning a sequence of user's GPS positions with the road network on a digital map. However, there exists miscalculation in mapmatching for low-sampling-rate GPS trajectories. To address this problem, this paper proposes an algorithm termed MIV-Matching for low-sample-rate GPS trajectories. To improve the accuracy in map-matching, MIV-Matching considers the process of existing algorithms for low-sample-rate GPS trajectories and then discusses and corrects the
doi:10.2991/csss-14.2014.51
fatcat:3xmvc2h34rfqxmphxdzy4b5tsy