Multi-agent infrastructure for distributed planning of demand-responsive passenger transportation service

CLAUDIO ALONSO CUBILLOS FIGUEROA, Franco Guidi-Polanco, Claudio Demartini

Research output: Contribution to journalConference articlepeer-review

9 Scopus citations

Abstract

Demand-responsive transport services are systems that assign users' specific transport requests to different vehicles enabled to fulfill the required service. In order to contain costs, maximize profits or get a higher service level, different planning algorithms have been described in literature. In our work we propose a multi-agent architecture, which adopts a mixed planning model. This model is an integration of centralized and negotiation-based decision-making approaches. The advantage of using this model respect to a centralized approach is that the estimation of the utility function is avoided (the client is involved in the final decision by means of a negotiation process). The model advantages a complete decentralized approach in giving results that are not so far from the optimum for the whole system.

Original languageEnglish
Pages (from-to)2013-2017
Number of pages5
JournalConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume2
StatePublished - 2004
Externally publishedYes
Event2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 - The Hague, Netherlands
Duration: 10 Oct 200413 Oct 2004

Keywords

  • Demand responsive transport system
  • Distributed application
  • Intelligent system
  • Multi-agent architecture

Fingerprint Dive into the research topics of 'Multi-agent infrastructure for distributed planning of demand-responsive passenger transportation service'. Together they form a unique fingerprint.

Cite this