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

Min An Tang; Xiao Ming Wang; Shuang Yuan

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

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 278-280Improved GA-NFS-Based Decision Rule Acquisition in...

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

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 278-280)

Pages:

1255-1259

DOI:

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

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Online since:

January 2013

Authors:

Min An Tang, Xiao Ming Wang, Shuang Yuan

Keywords:

Decision Rule Acquisition, Improved GA-NFS, Public Traffic, Route Selection

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