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Comparative Study and Application-Oriented Classification of Vehicular Map-Matching Methods.

Authors :
Kubicka, Matej
Cela, Arben
Mounier, Hugues
Niculescu, Silviu-Iulian
Source :
IEEE Intelligent Transportation Systems Magazine; Summer2018, Vol. 10 Issue 2, p150-166, 17p
Publication Year :
2018

Abstract

Vehicular map-matching aims to identify the position of a vehicle in a road-network. Different map-matching applications make use of different formulations of the problem leading to some ambiguous usage. This work intends to make a step towards resolution of this issue. We cross-link mapmatching methods, classes and applications in order to provide insight into this area of study. A selection of current map-matching methods is reviewed, classified and appropriately linked with other methods. Conclusions on trends and influential ideas are drawn with respect to the specific flavor of individual applications. Finally, the trade-offs that must be considered when selecting a map-matching method are discussed and selection guidelines are provided. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
19391390
Volume :
10
Issue :
2
Database :
Complementary Index
Journal :
IEEE Intelligent Transportation Systems Magazine
Publication Type :
Academic Journal
Accession number :
129265770
Full Text :
https://doi.org/10.1109/MITS.2018.2806630