Multi-scale and Collaborative Disaster Evacuation Planning Framework
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.
Zhang, Kai; Liu, Yongxin; Yang, Yupeng; Liu, Dahai; and Song, Houbing, "Multi-scale and Collaborative Disaster Evacuation Planning Framework" (2021). Center for Advanced Transportation Mobility. 11.