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

Treerapot Siripirote; Agachai Sumalee; H. W. Ho

doi:10.1016/j.tre.2020.101986

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

Treerapot Siripirote
, Agachai Sumalee
, H. W. Ho

Research output: Contribution to journal › Article › peer-review

46 Citations (Scopus)

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.

Original language	English
Article number	101986
Journal	Transportation Research Part E: Logistics and Transportation Review
Volume	140
DOIs	https://doi.org/10.1016/j.tre.2020.101986
Publication status	Published - Aug 2020
Externally published	Yes

Keywords

Activity pattern
Commodity trip chain
Global Positioning System
Maximum likelihood estimation
Truck activity

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10.1016/j.tre.2020.101986

Cite this

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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 = "Activity pattern, Commodity trip chain, Global Positioning System, Maximum likelihood estimation, Truck activity",

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year = "2020",

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AU - Siripirote, Treerapot

AU - Sumalee, Agachai

AU - Ho, H. W.

PY - 2020/8

Y1 - 2020/8

N2 - 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.

AB - 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.

KW - Activity pattern

KW - Commodity trip chain

KW - Global Positioning System

KW - Maximum likelihood estimation

KW - Truck activity

UR - https://www.scopus.com/pages/publications/85088030910

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DO - 10.1016/j.tre.2020.101986

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VL - 140

JO - Transportation Research Part E: Logistics and Transportation Review

JF - Transportation Research Part E: Logistics and Transportation Review

M1 - 101986

ER -

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

Abstract

Keywords

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