Modeling multi-agent system of management road transport: Tasks planning and negotiation

Abstract

The Management Systems of Road Transport (MSRT) must include responsibility for planning the routes and schedules of vehicles fleet involved in the road haulage, distribution and logistics. It must ensure that all operations are carried out in maximum safety, environmental controls and traffic congestion, driver hours, customs requirements, and minimum cost. The complexity of the real-time scheduling of transport orders which comes in an asynchronous and dynamic way makes the MSRT especially suitable for using techniques from Distributed AI. To manage this complex field addressed under a high degree of dynamism and uncertainty which is characterized by an inherent distribution of knowledge and control, we propose in this work, a modeling of an MSRT by a multi-agents system, the modeling of the agents and their interaction by AUML language and we deal with the cooperation during tasks planning in the MSRT. © Springer-Verlag Berlin Heidelberg 2009.