Design of a Multiagent Solution for Demand-Responsive Transportation

Authors:
Claudio Cubillos;Sandra Gaete;Franco Guidi-Polanco;Claudio Demartini
Affiliations:
Pontificia Universidad Católica de Valparaíso, Escuela de Ingeniería Informática, Av. Brasil 2241, Valparaíso, Chile;Pontificia Universidad Católica de Valparaíso, Escuela de Ingeniería Informática, Av. Brasil 2241, Valparaíso, Chile;Pontificia Universidad Católica de Valparaíso, Escuela de Ingeniería Informática, Av. Brasil 2241, Valparaíso, Chile;Politecnico di Torino, Dip. Automatica e Informatica, Cso. Duca Degli Abruzzi 24, 10129, Torino, Italia
Venue:
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Year:
2007

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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.