Transport networks have been amplified by the increasing number of vehicles and stations and the emergence of new concepts essentially multimodal and intermodal. Thus, the task of managing public transport systems has become very complex and difficult for regulators.To cope with these difficulties, there is the development of systems decision support as an effective solution to traffic control. They can transmit real-time traffic information on transport networks. Our work is based on designing a control system of multimodal transport networks. It may be as an essential tool for effective solutions and real-time to the problem of traffic congestion. It can provide the necessary information to the user in making its decision to move with or without his car. The proposed system is a hybrid between a graph modeling the network and a multi-agent system. This will be supported by an evolutionary approach for generating an optimal control solution. This is justified by the open, distributed and complex network of multimodal transport
