Proceedings of ICLT 2013
An empirical study of truck payload allocation
Areekamol Tor.Chaisuwan; Nakorn Indra-Payoong; Sarawut Jansuwan
Faculty of Logistics, Burapha University, Chonburi, Thailand; Department of Civil and Environmental Engineering, Utah State University, Logan, Utah, USA; Faculty of Logistics, Burapha University, Chonburi, Thailand
International Conference on Logistics & Transport 2013, Kyoto, Japan, pp. 58-66
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Abstract
This study estimates the number of trucks by type and the level of service on the Interstate highway 15 (I-15) located in Utah. Since an increasing number of trucks affect the efficiency of the highway, providing the trips by truck types, body types and commodity types can be more clearly analyzed the relationship between density and delay on the highway. The predicted commodity flow data from the Freight Analysis Framework version 3 of the United Stated Department of Transportation in the year 2015 is derived. The truck allocation factors are modified to convert the commodity flow data to the annual average daily truck traffic (AADTT). The results have shown that the degree of saturation on the I-15 highway for the year 2015 approaches a full capacity, requiring a short-term transport solution.
Keywords
Freight analysis frame work; Truck trip allocation; Freight flow estimation; Average daily truck traffic; Highway network performance; Truck payload allocation
Citation
Areekamol Tor.Chaisuwan; Nakorn Indra-Payoong; Sarawut Jansuwan (2013). An empirical study of truck payload allocation. Proceedings of the International Conference on Logistics & Transport (ICLT 2013), Kyoto, Japan, pp. 58-66.