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

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Issued Date

2020

Resource Type

Article

File Type

application/pdf

ISSN

13665545

DOI

10.1016/j.tre.2020.101986

Other identifier(s)

2-s2.0-85088030910

Rights Holder(s)

มหาวิทยาลัยศรีนครินทรวิโรฒ

Bibliographic Citation

Transportation Research Part E: Logistics and Transportation Review. Vol 140, (2020)

Suggested Citation

Siripirote T., Sumalee A., Ho H.W. Statistical estimation of freight activity analytics from Global Positioning System data of trucks. Transportation Research Part E: Logistics and Transportation Review. Vol 140, (2020). doi:10.1016/j.tre.2020.101986 Retrieved from: https://hdl.handle.net/20.500.14740/4463

Title

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

Author(s)

Siripirote T.
 Sumalee A.
 Ho H.W.

Abstract

To 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

Subject(s)

GPS
 Statistical analysis
 Transportation infrastructure
 Trucking
 Thailand

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URI

https://hdl.handle.net/20.500.14740/4463

Collections

Scopus: Year 1983-2021

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