Deep Learning Models and Tools for Disaster Evacuation and Routing
| 项目名称： | Deep Learning Models and Tools for Disaster Evacuation and Routing |
| 摘要： | This project details tools, processes, and protocols that can proactively manage disaster response, routing, and communications. The project will use the New Madrid Seismic Zone in SE Missouri as a testbed for modeling the response to an earthquake and aftershocks at Magnitude 8+. This area was chosen as it allows solutions to consider regions with inadequate road networks, limited communications protocols, and high likelihood of destruction for the proposed scenario. Research tasks will use deep learning techniques combined with traffic simulation models and crowdsourcing models for communication during the event, emergency response, and network restoration. |
| 状态： | Active |
| 资金： | 200918 |
| 资助组织： | Missouri Department of Transportation |
| 项目负责人： | Harper, Jennifer |
| 执行机构： | Missouri Center for Transportation Innovation |
| 开始时间： | 20210801 |
| 预计完成日期： | 20220731 |
| 主题领域： | Operations and Traffic Management；Planning and Forecasting；Security and Emergencies；Transportation (General) |
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