Multi-agent framework for a virtual enterprise of demand-responsive transportation

Daniel Cabrera, Claudio Cubillos

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

11 Scopus citations

Abstract

This work presents a multiagent framework design for Demand-Responsive Transportation, considering a virtual enterprise domain. The agent architecture obtained provides a baseline for the integration between end-users of the transport service and multiple transport operators affiliated to a virtual enterprise which provides flexibility in the incorporation and leaving of transport operators. The participation of governmental organizations and active destinations within the system allows the virtual enterprise having additional information on potential opportunities of business and assures transport system users a wider and more complete service search. The PASSI methodology has been used as base software engineering methodology for leveraging the multiagent architecture.

Original languageEnglish
Title of host publicationAdvances in Artificial Intelligence - 21st Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2008, Proceedings
Pages66-71
Number of pages6
DOIs
StatePublished - 2008
Event21st Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2008 - Windsor, Canada
Duration: 28 May 200830 May 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5032 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2008
Country/TerritoryCanada
CityWindsor
Period28/05/0830/05/08

Keywords

  • Agents
  • Demand-Responsive Transportation
  • Framework
  • PASSI
  • Virtual Enterprise

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