A method of improving the pedestrian accessibility of the urban public transport stops based on a genetic algorithm

Abstract

The article discusses the problem of pedestrian accessibility of public transport stops. Research considers and analyses of existing algorithms that allow solving the localization of public transport stops problem in metropolis. The study suggests a formal mathematical description model of the public passenger transport system with stops and routes. A new method based on functions and operators of a genetic algorithm for optimization of public transport stops dislocation was developed. The proposed method is implemented in Python programming language and has been tested on sample data of the city of Samara.