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.