A metaheuristics based simulation tool to optimize demand responsive transportation systems

  • Eneko Osaba*
  • , Pablo Fernandez
  • , Roberto Carballedo
  • , Asier Perallos
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Public passenger transport is an important area that affects our quality of life. The design of routes and frequencies of such systems is very important to ensure their economic viability. The work presented in this paper focuses on the design of a software tool that assists in the creation of routes and schedules of passenger transport systems. For this, we have developed an application that is based on evolutionary computing techniques to simulate passenger demand and adjust the routes and frequency of the services to meet those demands. The result of work done is a software tool, and a metaheuristic algorithm that can be used for solving optimization problems.

Original languageEnglish
Title of host publicationICSOFT 2011 - Proceedings of the 6th International Conference on Software and Database Technologies
Pages384-389
Number of pages6
Publication statusPublished - 2011
Externally publishedYes
Event6th International Conference on Software and Database Technologies, ICSOFT 2011 - Seville, Spain
Duration: 18 Jul 201121 Jul 2011

Publication series

NameICSOFT 2011 - Proceedings of the 6th International Conference on Software and Database Technologies
Volume2

Conference

Conference6th International Conference on Software and Database Technologies, ICSOFT 2011
Country/TerritorySpain
CitySeville
Period18/07/1121/07/11

Keywords

  • Demand responsive transport
  • Demand simulation tool
  • Evolutionary computing
  • Intelligent transport

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