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

Volume

2

fYear

2009

fDate

26-27 Dec. 2009

Firstpage

59

Lastpage

62

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on

Conference_Location

Xi´an

Print_ISBN

978-0-7695-3876-1

Type

conf

DOI

10.1109/ICIII.2009.172

Filename

5368206