multi-agent framework for hazardous goods transport risk management

it is difficult to prevent accidents in the transport of hazardous goods, so the development of strategies for managing crisis situations and the optimization of action plans are important. the crisis situation is a continuous event in time when its evolution is unpredictable because it depends on a whole of complex factors resulting from the environment of the crisis. decision making in crisis situation is complicated because it depends on a set of distributed actors in the environment where each one with its own perception of the problem. the continuous evolution of a crisis situation and the need of cooperation between the actors make the optimal decision making difficult. the aim of this work is the development of decision support system “dss” to assist actors in crisis situation in order to anticipate the evolution of an incident and to determine the effectiveness of strategies used and the allocated material. the proposed dss is based on a multi-agent system “mas” used for the reproduction of collective and multi-actor decision-making scenarios. our system receives accident’s alerts from gost “platform for tracking hazardous material containers in real time”. this paper presents the proposed model for managing the risk of transporting hazardous goods.