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A Virtual Differential Map-Matching Algorithm with Improved Accuracy and Computational Efficiency

Published online by Cambridge University Press:  26 June 2008

Hongchao Liu ,
Hao Xu ,
H. Scott Norville  and
Yuanlu Bao
Hongchao Liu*
Affiliation:
(Texas Tech University, Lubbock)
Hao Xu
Affiliation:
(Texas Tech University, Lubbock)
H. Scott Norville
Affiliation:
(Texas Tech University, Lubbock)
Yuanlu Bao
Affiliation:
(University of Technology and Science of China)
*
(Email: hongchao.liu@ttu.edu)
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Abstract

This paper presents development and application of a real-time virtual differential map-matching approach which makes use of the slow drifting property of the GPS errors and the continuous and gradual evolving characteristic of map errors to improve the accuracy and computational efficiency. A differential vector is created to approximate the real-time deviation, which is corrected continuously along with the vehicle movement during the map-matching process. Real-life application of the algorithm to the City of Hefei, a metropolis of China, shows that it corrects both GPS errors and digital map errors reasonably well with improved computational efficiency.

Keywords

Map-matchingGPSVirtual Differential Correction
Type
Research Article
Information
The Journal of Navigation , Volume 61 , Issue 3 , July 2008 , pp. 421 - 434
Copyright
Copyright © The Royal Institute of Navigation 2008

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