项目名称: |
Multi-scale and Collaborative Disaster Evacuation Planning Framework |
摘要: |
When emergency occurs, no tools are available to assist the decision-making of airline planning and coordination. In this project, the research team uses big data and multi-agent modeling to integrate automatic dependent surveillance–broadcast (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. |
状态: |
Active |
资金: |
150000 |
资助组织: |
Center for Advanced Transportation Mobility<==>Office of the Assistant Secretary for Research and Technology |
项目负责人: |
Liu, Dahai |
执行机构: |
Embry-Riddle Aeronautical University |
开始时间: |
20200401 |
预计完成日期: |
20210831 |
主题领域: |
Aviation;Data and Information Technology;Operations and Traffic Management;Planning and Forecasting;Security and Emergencies |