Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems: a modern approach to distributed artificial intelligence
In-time agent-based vehicle routing with a stochastic improvement heuristic
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
A fuzzy logic approach to dynamic Dial-A-Ride problem
Fuzzy Sets and Systems - special issue on fuzzy sets in traffic and transport systems
A Metaheuristic for the Pickup and Delivery Problem with Time Windows
ICTAI '01 Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence
A Distributed Agent Approachto Global Transportation Scheduling
IAT '03 Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology
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This work describes the development and results on an agent architecture devoted to the planning and scheduling of passenger trips by using the contract-net protocol as base coordination mechanism. The architecture named MADARP, has been implemented over Jade, and provides a set of base agents that perform the basic interface, planning and support services, which can be extended to tackle specific passenger transport conditions and scenarios. In particular, this paper will focus on the planning agents, their coordination mechanism and its performance in a distributed scenario. The agent use allows easily adapting the architecture to different assigning and scheduling models. This work presents the results of a performance test, analyzing two different rates for the requests' arrivals under a distributed scenario with diverse number of hosts.