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Multi-agent simulation has been looked as an efficient tool for urban dynamic traffic services. However, the main problem is how to build an agent-based model for it. This research presents a multi-agent based Demand Responsive Transport (DRT) services 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, the authors propose an agent based multi-layer distributed hybrid planning model for the real-time problem which can solve this question.
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