An agent solution to flexible planning and scheduling of passenger trips

Abstract

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. © 2006 International Federation for Information Processing.