This research presents a multi-agent based urban 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 which can solve this question. In the proposed method, an agent for each vehicle finds a set of routes by its local search, and selects a route by cooperation with other agents in its planning domain. By computational experiments, we examine the effectiveness of the proposed method.
A Multi-agent based model for urban demand-responsive transport system intelligent control
2008 IEEE Intelligent Vehicles Symposium ; 1033-1038
2008-06-01
305652 byte
Conference paper
Electronic Resource
English
A Multi-Agent Based Model for Urban Demand-Responsive Transport System Intelligent Control
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