Title :
Site Selection of Urban Track Traffic Routes Based on GA-SVM
Author :
Tang, Minan ; Ren, Enen
Author_Institution :
Mechatron. T&R Inst., Lanzhou Jiaotong Univ., Lanzhou, China
Abstract :
Site selection of urban track traffic routes is significant to improve the core competitiveness of urban public transport system. In the paper, the combination method of support vector machine and genetic algorithm (GA-SVM) is applied to site selection of urban track traffic routes, in which genetic algorithm (GA) dynamically optimizes the parameters of SVM. Site selection of urban track traffic routes of Lanzhou is used as study case of the proposed GA-SVM model. The experimental indicates that the results are in accordance with expert evaluation, and the method is effectiveness in site selection of track traffic routes.
Keywords :
genetic algorithms; rail traffic; support vector machines; genetic algorithm; support vector machine; urban public transport system; urban track traffic route selection; Genetic algorithms; Information management; Innovation management; Kernel; Mechatronics; Optimization methods; Support vector machine classification; Support vector machines; Telecommunication traffic; Traffic control; GA-SVM model; Lanzhou; site selection; urban track traffic routes;
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-0-7695-3876-1
DOI :
10.1109/ICIII.2009.172
