Ant Colony Optimization for the rescheduling of multimodal transport networks

The assistance of a decision support system becomes necessary for the real-time traffic management of the public transport networks since the size of the search space increases exponentially with the number of vehicles, or stops. This paper deals with the real-time regulation of Traffic within a disrupted transportation system. We present an approach of ant colony optimization for the rescheduling of multimodal transport networks. It is an adaptation of the passage time of vehicles by the various stops, in the case of a disturbance. A regulated timetable is proposed as solution where we assure the three most important criteria of regulation which are the punctuality, the regularity and the correspondence