Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81307
Title: Freight traffic analytics from national truck GPS data in Thailand
Authors: Chankaew, N
Sumalee, A 
Siripirote, T
Threepak, T
Ho, HW 
Lam, WHK 
Keywords: Truck activities
Freight origin-destination matrix
Commodity flows
Global positioning system data
Issue Date: 2018
Publisher: Elsevier
Source: Transportation research procedia, 2018, v. 34, p. 123-130 How to cite?
Journal: Transportation research procedia 
Abstract: Recently, 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.
Description: International 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, Japan
URI: http://hdl.handle.net/10397/81307
EISSN: 2352-1465
DOI: 10.1016/j.trpro.2018.11.023
Rights: © 2018 The Authors. Published by Elsevier Ltd.
This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
The 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.2018.11.023
Appears in Collections:Conference Paper

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