Design of a multiagent solution for demand-responsive transportation

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

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

1 Scopus citations

Abstract

Mobility patterns in large cities has changed in the last decades making traditional fix-line public transportation no longer efficient to tackle the increasing complexity. Demand-responsive transportation leverages as an alternative where routes, departure times, vehicles and even operators, can be matched to the identified demand, allowing a more user-oriented and cost effective approach to service provision. In this context, the design of a multiagent system is presented following the agent-oriented software engineering methodology (AOSE) PASSI.

Original languageEnglish
Title of host publicationAI IA 2007
Subtitle of host publicationArtificial Intelligence and Human-Oriented Computing - 10th Congress of the Italian Association for Artificial Intelligence, Proceedings
PublisherSpringer Verlag
Pages797-804
Number of pages8
ISBN (Print)9783540747819
DOIs
StatePublished - 2007
Externally publishedYes
Event10th Congress of the Italian Association for Artificial Intelligence, AI IA 2007 - Rome, Italy
Duration: 10 Sep 200713 Sep 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4733 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th Congress of the Italian Association for Artificial Intelligence, AI IA 2007
CountryItaly
CityRome
Period10/09/0713/09/07

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