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Application of the genetic algorithm for optimization of the public transportation lines

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Citations (Scopus)

Abstract

The public transport operators must find a compromise between the growing demands and the available resources or budget constraints. Very often a significant improvement of the efficiency of the public transportation system can be attained by minor changes of the layout of communication lines or the timetable. Such optimization problems are computationally very complex, thus some heuristic procedures should be applied. In this paper a genetic algorithm is used to find the optimal structure of public transport network with given rolling stock. As the objective function the total time of realization of the transportation demands is assumed. The case study of a city in southern Poland is presented.

Original languageEnglish
Title of host publicationAdvances in Intelligent Systems and Computing
PublisherSpringer Verlag
Pages135-146
Number of pages12
DOIs
Publication statusPublished - 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume505
ISSN (Print)2194-5357

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Genetic algorithm
  • Public transport
  • Taguchi method

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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