Multi-scale and Collaborative Disaster Evacuation Planning Framework
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2021-08-01
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Edition:Final
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Abstract:When emergency occurs, no tools are available to assist the decision-making of airline planning and Coordination. In this project, we use big data and multi-agent modeling to integrate ADS-B data and Weather information, to optimize and visualize the airspace strategic planning during disaster, and Develop a forecast and recommendation system to aid the authorities and public for optimal airline Evacuation process, by using the deep reinforcement learning technique.
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