Chapter
Jul 3, 2013
Application of Least Square Support Vector Machines Based on Wavelet Package in Link Travel Time Prediction
Authors: Qingfang Yang [email protected], Duo Mei, Ph.D. [email protected], and Zhaosheng Yang [email protected]Author Affiliations
Publication: ICTIS 2013: Improving Multimodal Transportation Systems-Information, Safety, and Integration
Abstract
In the process of predicting link travel time, the difficultly of handling high-dimensional and nonlinear data consistently poses problems to researchers. Because the single least squares support vector machine cannot handle these issues, a prediction method based on wavelet package analysis and least square support vector machine was proposed to forecast link travel time. The verification results obtained from VISSIM simulation data show that the link travel time prediction method is better and has definite application value.
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ICTIS 2013: Improving Multimodal Transportation Systems-Information, Safety, and Integration
Pages: 948 - 953
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© 2013 American Society of Civil Engineers.
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Published online: Jul 3, 2013
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Affiliations
Professor, State Key Laboratory of Automobile Dynamic Simulation, Intelligent Transport Systems, Jilin University, Changchun, China, 130022. E-mail: [email protected]
College of Transportation, Jilin University, Changchun, China, 130022. E-mail: [email protected]
Professor, State Key Laboratory of Automobile Dynamic Simulation, Jilin University, Changchun, China, 130022. E-mail: [email protected]
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