Improved GA-NFS-Based Decision Rule Acquisition in Route Selection for Public Transport Line

doi:10.4028/www.scientific.net/AMM.278-280.1255

CORC > 兰州理工大学 > 兰州理工大学

	Improved GA-NFS-Based Decision Rule Acquisition in Route Selection for Public Transport Line
	Tang Min An 1,2; Wang Xiao Ming 2; Yuan Shuang 1
	2013
关键词	Improved GA-NFS Public traffic Route selection Decision rule acquisition
卷号	278-280
DOI	10.4028/www.scientific.net/AMM.278-280.1255
页码	1255-+
英文摘要	Aimed at the difficulty of the route selection of urban public transport line, a new method was proposed for the improved genetic algorithm BP neural fuzzy system model and algorithm. For the problem of route selection, it is required to acquire evolution rule of system status from the changes of multiple environment variable factors. The BP neural fuzzy system model based on Mamdani inference was given, in order to overcome the existing limitations of BP neural network, it puts forward the thought of algorithm improved by GA. The algorithm as the foundation is applied in route selection of urban road public transport line, and the method's usability is proven through simulation, calculation and analytical investigation of practical problems on the main lines of bus rapid transit the route selection.
会议录	ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING, PTS 1-3
会议录出版者	TRANS TECH PUBLICATIONS LTD
会议录出版地	KREUZSTRASSE 10, 8635 DURNTEN-ZURICH, SWITZERLAND
语种	英语
资助项目	Innovation Program of Gansu Province[090GKCA009]
WOS研究方向	Automation & Control Systems ; Engineering
WOS记录号	WOS:000320625000246
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/37035]
专题	兰州理工大学
通讯作者	Tang Min An
作者单位	1.Lanzhou Jiaotong Univ, Sch Automat & Elect Engn, Lanzhou, Peoples R China 2.Lanzhou Univ Technol, Sch Mech & Elect Engn, Lanzhou, Peoples R China
推荐引用方式 GB/T 7714	Tang Min An,Wang Xiao Ming,Yuan Shuang. Improved GA-NFS-Based Decision Rule Acquisition in Route Selection for Public Transport Line[C]. 见:.