Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81307
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dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorChankaew, N-
dc.creatorSumalee, A-
dc.creatorSiripirote, T-
dc.creatorThreepak, T-
dc.creatorHo, HW-
dc.creatorLam, WHK-
dc.date.accessioned2019-09-20T00:54:59Z-
dc.date.available2019-09-20T00:54:59Z-
dc.identifier.urihttp://hdl.handle.net/10397/81307-
dc.descriptionInternational Symposium of Transport Simulation (ISTS'18) and the International Workshop on Traffic Data Collection and its Standardization (IWTDCS'18) - Emerging Transport Technologies for Next Generation Mobility, Aug 06-08, 2018 Ehime University, Matsuyama, Japanen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2018 The Authors. Published by Elsevier Ltd.en_US
dc.rightsThis is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)en_US
dc.rightsThe following publication Chankaew, N., Sumalee, A., Siripirote, T., Threepak, T., Ho, H. W., & Lam, W. H. K. (2018). Freight traffic analytics from national truck GPS data in Thailand. Transportation Research Procedia, 34, 123-130 is available at https://dx.doi.org/10.1016/j.trpro.2018.11.023en_US
dc.subjectTruck activitiesen_US
dc.subjectFreight origin-destination matrixen_US
dc.subjectCommodity flowsen_US
dc.subjectGlobal positioning system dataen_US
dc.titleFreight traffic analytics from national truck GPS data in Thailanden_US
dc.typeConference Paperen_US
dc.identifier.spage123-
dc.identifier.epage130-
dc.identifier.volume34-
dc.identifier.doi10.1016/j.trpro.2018.11.023-
dcterms.abstractRecently, demand of freight transport increases tremendously and cause serious impacts on traffic congestion and air quality. In 2015, The Department of Land Transport of Thailand has introduced a project named "Nationwide Confidence with GPS Onboard" to install GPS tracking system on all trucks in Thailand. This project provides new sources of data in analyzing the freight-related traffics and designing remedial measures for freight-related issues. This paper aims to demonstrate the use of GPS data in determining truck activities, estimating truck origin-destination matrix and estimating the flow of different commodities. Thailand is used as a case study to demonstrate the results.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationTransportation research procedia, 2018, v. 34, p. 123-130-
dcterms.isPartOfTransportation research procedia-
dcterms.issued2018-
dc.identifier.isiWOS:000473085200016-
dc.relation.conferenceInternational Symposium of Transport Simulation / International Workshop on Traffic Data Collection and its Standardization [ISTS-
dc.relation.conferenceIWTDCS]-
dc.identifier.eissn2352-1465-
dc.description.validate201909 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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