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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 |
Issue Date: | 2018 | Source: | Transportation research procedia, 2018, v. 34, p. 123-130 | 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. | Keywords: | Truck activities Freight origin-destination matrix Commodity flows Global positioning system data |
Publisher: | Elsevier | Journal: | Transportation research procedia | EISSN: | 2352-1465 | DOI: | 10.1016/j.trpro.2018.11.023 | 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 | 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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| Chankaew_Freight_Traffic_Analytics.pdf | 756.43 kB | Adobe PDF | View/Open |
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