Space-map-matching-based candidate selection for GPS map matching

Chunyang Ma, Xin Zhang, Peng Gao, Weishan Dong, Changsheng Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

GPS map matching is the process to align observed GPS positions with road networks of a digital map. One of the key technique in a state-of-art GPS map matching algorithm is to select candidates for each observed GPS point. Traditional candidate selection algorithms focus on spatial proximity, which is not sufficient in real cases. This paper proposes a novel candidate selection algorithm for GPS map matching, called Space Map Matching (SMM). The SMM constructs a mapping relationship between space and road links based on GPS shifting patterns and driver preferences. Therefore, candidate selection is transformed from a spatial searching process into a mapping relationship looking-up process. Experiments on real datasets prove that the candidate selection algorithm proposed in this paper can outperform traditional algorithms in both accuracy and efficiency.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages77-82
Number of pages6
ISBN (Electronic)9781509029273
DOIs
Publication statusPublished - 24 Aug 2016
Externally publishedYes
Event2016 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2016 - Beijing, China
Duration: 10 Jul 201612 Jul 2016

Publication series

NameProceedings - 2016 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2016

Conference

Conference2016 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2016
Country/TerritoryChina
CityBeijing
Period10/07/1612/07/16

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