An agent solution to flexible planning and scheduling of passenger trips

Claudio Cubillos, Franco Guidi-Polanco

Resultado de la investigación: Capítulo del libro/informe/acta de congresoCapítulorevisión exhaustiva

2 Citas (Scopus)

Resumen

This work presents the MADARP agent architecture, devoted to the planning and scheduling of trip requests under a dynamic scenario within the context of passenger transportation systems. The architecture provides a set of base agents that perform the basic interface, planning and support services for managing different types of transportation requests by using a heterogeneous fleet of transport vehicles. The architecture was used to implement three planning models by extending base agents' behaviours. The results obtained for a set of 20 scenarios is analyzed.

Idioma originalInglés
Título de la publicación alojadaArtificial Intelligence in Theory and Practice
Subtítulo de la publicación alojadaIFIP 19th World Computer Congress, TC 12: IFIP AI 2006 Stream, August 21-24, 2006, Santiago, Chile
EditoresMax Bramer
Páginas355-364
Número de páginas10
DOI
EstadoPublicada - 2006
Publicado de forma externa

Serie de la publicación

NombreIFIP International Federation for Information Processing
Volumen217
ISSN (versión impresa)1571-5736

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