A Map Matching Algorithm to Eliminate Miscalculation Based on Low-Sample-Rate Data

DOI

10.2991/csss-14.2014.51How to use a DOI?

Keywords

GPS Trajectories; Road Network; Low-Sample-Rate Data; Spatial AnalysisIntroduction

Abstract

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 map-matching 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 process of miscalculation. This paper also evaluates the algorithm on real life data set. Experiment results show that the MIV-Matching algorithm outperforms the related method (ST-Matching and IVMM algorithm).

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dong Wang
AU  - Zhiwei Wang
AU  - Xiaohong Li
AU  - Zhu Xiao
PY  - 2014/06
DA  - 2014/06
TI  - A Map Matching Algorithm to Eliminate Miscalculation Based on Low-Sample-Rate Data
BT  - Proceedings of the 3rd International Conference on Computer Science and Service System
PB  - Atlantis Press
SP  - 219
EP  - 223
SN  - 1951-6851
UR  - https://doi.org/10.2991/csss-14.2014.51
DO  - 10.2991/csss-14.2014.51
ID  - Wang2014/06
ER  -