Design of a multiagent solution for demand-responsive transportation

Claudio Cubillos, Sandra Gaete, Franco Guidi-Polanco, Claudio Demartini

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaAI IA 2007
Subtítulo de la publicación alojadaArtificial Intelligence and Human-Oriented Computing - 10th Congress of the Italian Association for Artificial Intelligence, Proceedings
EditorialSpringer Verlag
Páginas797-804
Número de páginas8
ISBN (versión impresa)9783540747819
DOI
EstadoPublicada - 2007
Publicado de forma externa
Evento10th Congress of the Italian Association for Artificial Intelligence, AI IA 2007 - Rome, Italia
Duración: 10 sep 200713 sep 2007

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen4733 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia10th Congress of the Italian Association for Artificial Intelligence, AI IA 2007
País/TerritorioItalia
CiudadRome
Período10/09/0713/09/07

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