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Article: An improved distance metric for the interpolation of link-based traffic data using kriging:A case study of a large-scale urban road network

TitleAn improved distance metric for the interpolation of link-based traffic data using kriging:A case study of a large-scale urban road network
Authors
KeywordsDistance Metric
Geographic Information Systems For Transportation (Gis-T)
Isometric Embedding
Kriging
Traffic Data Interpolation
Issue Date2012
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/13658816.asp
Citation
International Journal Of Geographical Information Science, 2012, v. 26 n. 4, p. 667-689 How to Cite?
AbstractThe interpolation of link-based traffic data is an important topic for transportation researchers and engineers. In recent years the kriging method has been used in traffic data interpolation from the viewpoint of spatial analysis. This method has shown promising results, especially for a large-scale road network. However, existing studies using the Euclidean distance metric, which is widely used in traditional kriging, fail to accurately describe the spatial distance in a road network. In this article we introduce road network distance to describe spatial distance between road links, and we propose an improved distance metric called approximate road network distance (ARND), based on the isometric embedding theory, for solving the problem of the invalid spatial covariance function in kriging caused by the non-Euclidean distance metric. An improved Isomap algorithm is also proposed for obtaining the ARND metric. This study is tested on a large-scale urban road network with sparse road-link travel speeds derived from approximately 1200 'floating cars' (GPS-enabled taxis). Comparison was conducted on both the Euclidean distance metric and the ARND metric. The validation results show that the use of the ARND metric can obtain better interpolation accuracy in different time periods and urban regions with different road network structures. Therefore, we conclude that the improved distance metric has the ability for improving kriging interpolation accuracy for link-based traffic data within real situations, providing more reliable basic traffic data for various traffic applications. © 2012 Copyright Taylor and Francis Group, LLC.
Persistent Identifierhttp://hdl.handle.net/10722/176302
ISSN
2015 Impact Factor: 2.065
2015 SCImago Journal Rankings: 1.156
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorZou, Hen_US
dc.contributor.authorYue, Yen_US
dc.contributor.authorLi, Qen_US
dc.contributor.authorYeh, AGOen_US
dc.date.accessioned2012-11-26T09:08:18Z-
dc.date.available2012-11-26T09:08:18Z-
dc.date.issued2012en_US
dc.identifier.citationInternational Journal Of Geographical Information Science, 2012, v. 26 n. 4, p. 667-689en_US
dc.identifier.issn1365-8816en_US
dc.identifier.urihttp://hdl.handle.net/10722/176302-
dc.description.abstractThe interpolation of link-based traffic data is an important topic for transportation researchers and engineers. In recent years the kriging method has been used in traffic data interpolation from the viewpoint of spatial analysis. This method has shown promising results, especially for a large-scale road network. However, existing studies using the Euclidean distance metric, which is widely used in traditional kriging, fail to accurately describe the spatial distance in a road network. In this article we introduce road network distance to describe spatial distance between road links, and we propose an improved distance metric called approximate road network distance (ARND), based on the isometric embedding theory, for solving the problem of the invalid spatial covariance function in kriging caused by the non-Euclidean distance metric. An improved Isomap algorithm is also proposed for obtaining the ARND metric. This study is tested on a large-scale urban road network with sparse road-link travel speeds derived from approximately 1200 'floating cars' (GPS-enabled taxis). Comparison was conducted on both the Euclidean distance metric and the ARND metric. The validation results show that the use of the ARND metric can obtain better interpolation accuracy in different time periods and urban regions with different road network structures. Therefore, we conclude that the improved distance metric has the ability for improving kriging interpolation accuracy for link-based traffic data within real situations, providing more reliable basic traffic data for various traffic applications. © 2012 Copyright Taylor and Francis Group, LLC.en_US
dc.languageengen_US
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/13658816.aspen_US
dc.relation.ispartofInternational Journal of Geographical Information Scienceen_US
dc.subjectDistance Metricen_US
dc.subjectGeographic Information Systems For Transportation (Gis-T)en_US
dc.subjectIsometric Embeddingen_US
dc.subjectKrigingen_US
dc.subjectTraffic Data Interpolationen_US
dc.titleAn improved distance metric for the interpolation of link-based traffic data using kriging:A case study of a large-scale urban road networken_US
dc.typeArticleen_US
dc.identifier.emailYeh, AGO: hdxugoy@hkucc.hku.hken_US
dc.identifier.authorityYeh, AGO=rp01033en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1080/13658816.2011.609488en_US
dc.identifier.scopuseid_2-s2.0-84859412967en_US
dc.identifier.hkuros225544-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84859412967&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume26en_US
dc.identifier.issue4en_US
dc.identifier.spage667en_US
dc.identifier.epage689en_US
dc.identifier.isiWOS:000301979200005-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridZou, H=35194951800en_US
dc.identifier.scopusauthoridYue, Y=35303739000en_US
dc.identifier.scopusauthoridLi, Q=35173079200en_US
dc.identifier.scopusauthoridYeh, AGO=7103069369en_US

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