Chapter
Apr 26, 2012
Predicting the Truck Speed Based on Four Factors of Transportation Engineering: A Curvilinear Regression Model
Authors: Runhua Qian [email protected] and Military Traffic Institute, Tianjin, China, Qixin Shi, Zhimin Wang, and Jian LvAuthor Affiliations
Publication: International Conference on Transportation Engineering 2007
Abstract
The vehicle speed prediction is very important in both traffic engineering and logistics realm. This paper conducts a model predicting the truck maneuvering speed based on field data. In this model, four basic factors of transportation engineering, including driver, vehicle, road and environment, are considered to affect the speed of freight fleet. In this paper, some analyses have been presented which concern about variable sensitivity and their applications. The conclusion based on the model analysis can be applied to truck maneuvering speed forecast in modern logistics programming and traffic engineering.
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Published In
International Conference on Transportation Engineering 2007
Pages: 1572 - 1577
Copyright
© 2007 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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Affiliations
Institute of Transportation Engineering, Civil Engineering Department, Tsinghua University, Beijing, China. E-mail: [email protected] and Military Traffic Institute, Tianjin, China
Qixin Shi
Institute of Transportation Engineering, Civil Engineering Department, Tsinghua University, Beijing, China
Zhimin Wang
Military Traffic Institute, Tianjin, China
Jian Lv
Institute of Transportation Engineering, Civil Engineering Department, Tsinghua University, Beijing, China
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.