A virtual differential map-matching algorithm

Hao Xu, Hongchao Liu, H. Scott Norville, Yuanlu Bao

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

4 Scopus citations

Abstract

This paper presents development and application of a real-time virtual differential map-matching algorithm. Taking advantage of the slowly drifting property of the GPS errors and the continuity in map errors, the authors first define a differential vector between the vehicle's GPS track points and their corresponding mapped points by historical tracks. This information is then applied to a pre-correction process for examining the on-line vehicle tracks. As the differential vector is only the approximate of the real-time deviation (i.e., virtual differential vector), it is corrected continuously along with the vehicle movement. As a result, the algorithm takes into account both historical information and real-time data of vehicle velocity and direction, as well as the topological structure of the road network map in the map-matching process. The performance of the algorithm is examined through a sample application.

Original languageEnglish
Title of host publication10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007
Pages448-453
Number of pages6
DOIs
StatePublished - 2007
Event10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007 - Seattle, WA, United States
Duration: Sep 30 2007Oct 3 2007

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Conference

Conference10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007
Country/TerritoryUnited States
CitySeattle, WA
Period09/30/0710/3/07

Keywords

  • GPS
  • Map-matching
  • Vehicle navigation
  • Virtual differential

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