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

Treerapot Siripirote, Agachai Sumalee and H.W. Ho

Transportation Research Part E: Logistics and Transportation Review, 2020, vol. 140, issue C

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.

Keywords: Truck activity; Activity pattern; Commodity trip chain; Global Positioning System; Maximum likelihood estimation (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (8)

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DOI: 10.1016/j.tre.2020.101986

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