An agent solution to flexible planning and scheduling of passenger trips

Claudio Cubillos, Franco Guidi-Polanco

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations


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.

Original languageEnglish
Title of host publicationArtificial Intelligence in Theory and Practice
Subtitle of host publicationIFIP 19th World Computer Congress, TC 12: IFIP AI 2006 Stream, August 21-24, 2006, Santiago, Chile
EditorsMax Bramer
Number of pages10
StatePublished - 2006

Publication series

NameIFIP International Federation for Information Processing
ISSN (Print)1571-5736


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