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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...
In the recent years, multi-agent systems (MAS) have become a very active research area that apply to many other areas, both inside and outside of computer science.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:...
Planning and scheduling (P&S) is an important area of artificial intelligence (AI). In the late decade, application-oriented research receives much more attention in AI planning community. Hierarchical Task Network (HTN) is an effective AI planning approach and has been applied in many realistic domains. However, current modeling mechanisms of HTN planning are mainly based on logical and/or functional...
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