An optimized evolutionary Multi - agent approach for Regulation of disrupted urban transport

For a sustainable people and goods mobility, CISIT (The International Campus on Safety and Intermodality in Transportation) has the objective to realize an optimal management of multimodal chains. In this context, this paper discusses the real-time regulation of traffic in a transportation system disruption.. In fact, the increase in the network size and the presence of multiple transportation modes had made the task of managing the transportation system more complex and more difficult for regulators especially during a disturbance. Hence, we propose a decision support system based on an evolutional multi-agent approach. This system is able to detect perturbations, analyze, propose and evaluate solutions using Choquet integral.