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A hybrid map matching algorithm based on fuzzy comprehensive judgment

  • Mengyin Fu*
  • , Jie Li
  • , Meiling Wang
  • *Corresponding author for this work
  • Beijing Institute of Technology

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

Abstract

Based on analyzing the pure geometry and possibility statistics map matching algorithms, a hybrid map matching algorithm based on fuzzy comprehensive judgment is proposed by synthesizing the merits of two methods and the topology relation of the real road network, and using the concept of the fuzzy theory. The simulation results show the new algorithm can provide more reasonable matched result for vehicle positioning information.

Original languageEnglish
Title of host publicationProceedings - 7th International IEEE Conference on Intelligent Transportation Systems, ITSC 2004
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages613-617
Number of pages5
ISBN (Print)0780385004
DOIs
Publication statusPublished - 2004
Evente 7th IEEE Intelligent Transportation Systems Conference, ITSC 2004 - Washington, DC, United States
Duration: 3 Oct 20046 Oct 2004

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
ISSN (Print)2153-0009
ISSN (Electronic)2153-0017

Conference

Conferencee 7th IEEE Intelligent Transportation Systems Conference, ITSC 2004
Country/TerritoryUnited States
CityWashington, DC
Period3/10/046/10/04

Keywords

  • Fuzzy comprehensive judgment
  • Fuzzy theory
  • Map matching
  • Vehicle navigation system

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