A multi-layer distributed hybrid planning multi-agent model for urban demand-responsive transport system intelligent control

This research presents a multi-agent based metropolitan demand responsive transport (DRT) system intelligent control model, which adopts a practical multi-agents planning approach for urban DRT services control that satisfies the main constraints: minimize total slack time, travel time, waiting time, client´s special requests, and using minimum number of vehicle. In this paper, we propose an agent based multi-layer distributed hybrid planning model for the real-time problem. By computational experiments, we examine an effectiveness of the proposed method for the large real-time metropolitan transport system.