Publication:
Statistical estimation of freight activity analytics from Global Positioning System data of trucks

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dc.contributor.authorSiripirote T.
dc.contributor.authorSumalee A.
dc.contributor.authorHo H.W.
dc.date.accessioned2021-04-05T03:01:20Z
dc.date.available2021-04-05T03:01:20Z
dc.date.issued2020
dc.date.issuedBE2563
dc.description.abstractTo optimally plan/design freight-related infrastructures, it is crucial to understand the activities of freight-related traffic. This paper proposes a statistical approach to estimate truck activities and freight analytics from Global Positioning System (GPS) data of trucks. Commodities carried are also determined by the locations and types of truck stops. With the estimated activities and commodities carried, the characteristics of trip chains for different commodities are then determined and analysed. An empirical example from Thailand is adopted to illustrate the proposed approaches in estimating activities, activity patterns, commodity trip chains and status of trips legs from the collected truck GPS data. © 2020 Elsevier Ltd
dc.format.mimetypeapplication/pdf
dc.identifier.citationTransportation Research Part E: Logistics and Transportation Review. Vol 140, (2020)
dc.identifier.doi10.1016/j.tre.2020.101986
dc.identifier.issn13665545
dc.identifier.other2-s2.0-85088030910
dc.identifier.urihttps://hdl.handle.net/20.500.14740/4463
dc.rights.holderมหาวิทยาลัยศรีนครินทรวิโรฒ
dc.subject.otherGPS
dc.subject.otherStatistical analysis
dc.subject.otherTransportation infrastructure
dc.subject.otherTrucking
dc.subject.otherThailand
dc.titleStatistical estimation of freight activity analytics from Global Positioning System data of trucks
dc.typeArticle
dspace.entity.typePublication
swu.datasource.scopushttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85088030910&doi=10.1016%2fj.tre.2020.101986&partnerID=40&md5=863263877b977fcf42176e7dde26058b

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