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A Novel Map-matching Algorithm to Improve Vehicle Tracking System Accuracy

Satellite-based Vehicle Tracking System accuracy can be improved by augmenting the positional information using road network data, in a process known as map-matching. Point-to-curve matching algorithm is generally not suitable for problem since it ignores any historical data and often gave unstable...

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Main Authors: Dewandaru, Agung, Md Said, Abas, Matori, A. N.
Format: Article
Published: Universiti Teknologi PETRONAS 2008
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utp.edu.my/3512/1/Map-Matching_Algorithm_to_Improve_Vehicle_Tracking.pdf
http://eprints.utp.edu.my/3512/
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spelling my.utp.eprints.35122017-01-19T08:26:27Z A Novel Map-matching Algorithm to Improve Vehicle Tracking System Accuracy Dewandaru, Agung Md Said, Abas Matori, A. N. QA75 Electronic computers. Computer science Satellite-based Vehicle Tracking System accuracy can be improved by augmenting the positional information using road network data, in a process known as map-matching. Point-to-curve matching algorithm is generally not suitable for problem since it ignores any historical data and often gave unstable results. The curve-to-curve matching algorithms measure the similarity between the track and possible road path. However, most of these algorithms cannot handle multiple track hypotheses that have varying degree of similarity. This paper presents a new curve-to-curve map matching technique which picks the most relevant hypothesis, enabling corrections if necessary, therefore providing intelligent guesses with considerable accuracy. Universiti Teknologi PETRONAS 2008 Article PeerReviewed application/pdf http://eprints.utp.edu.my/3512/1/Map-Matching_Algorithm_to_Improve_Vehicle_Tracking.pdf Dewandaru, Agung and Md Said, Abas and Matori, A. N. (2008) A Novel Map-matching Algorithm to Improve Vehicle Tracking System Accuracy. Platform, Volume (No. 1). http://eprints.utp.edu.my/3512/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Dewandaru, Agung
Md Said, Abas
Matori, A. N.
A Novel Map-matching Algorithm to Improve Vehicle Tracking System Accuracy
description Satellite-based Vehicle Tracking System accuracy can be improved by augmenting the positional information using road network data, in a process known as map-matching. Point-to-curve matching algorithm is generally not suitable for problem since it ignores any historical data and often gave unstable results. The curve-to-curve matching algorithms measure the similarity between the track and possible road path. However, most of these algorithms cannot handle multiple track hypotheses that have varying degree of similarity. This paper presents a new curve-to-curve map matching technique which picks the most relevant hypothesis, enabling corrections if necessary, therefore providing intelligent guesses with considerable accuracy.
format Article
author Dewandaru, Agung
Md Said, Abas
Matori, A. N.
author_facet Dewandaru, Agung
Md Said, Abas
Matori, A. N.
author_sort Dewandaru, Agung
title A Novel Map-matching Algorithm to Improve Vehicle Tracking System Accuracy
title_short A Novel Map-matching Algorithm to Improve Vehicle Tracking System Accuracy
title_full A Novel Map-matching Algorithm to Improve Vehicle Tracking System Accuracy
title_fullStr A Novel Map-matching Algorithm to Improve Vehicle Tracking System Accuracy
title_full_unstemmed A Novel Map-matching Algorithm to Improve Vehicle Tracking System Accuracy
title_sort novel map-matching algorithm to improve vehicle tracking system accuracy
publisher Universiti Teknologi PETRONAS
publishDate 2008
url http://eprints.utp.edu.my/3512/1/Map-Matching_Algorithm_to_Improve_Vehicle_Tracking.pdf
http://eprints.utp.edu.my/3512/
_version_ 1738655270323617792
score 13.211869

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