Learning from Traffic Data: Evacuation Behavior
| 项目名称： | Learning from Traffic Data: Evacuation Behavior |
| 摘要： | The objective of this project is to develop access to real-time collection and analysis of traffic data that can be used to inform the evacuation planning process and enhance the efficiency of operations before and after a disaster presents an interesting opportunity. This work identifies ways to use traffic data to better understand evacuation behavior and to explore ways to integrate traffic data into evacuation planning and response. Analysis of this data is performed and the usefulness of this type of data is then discussed. Hurricane Irene provides a rich source of data on actual behavior during a mandatory evacuation that has important implications for future events including developing strategies for improving situational awareness, and post incident review and planning. These issues are important as the perceived increases in frequency and intensity of weather related events mean that there are increasing pressures to address evacuation issues. The use of traffic data will ultimately allow government to better plan and execute evacuations and help make the corridors used for evacuation more resilient. |
| 状态： | Active |
| 资金： | 38372.00 |
| 资助组织： | Research and Innovative Technology Administration<==>Delaware Department of Transportation |
| 项目负责人： | Tucker-Thomas, Dawn |
| 执行机构： | University of Delaware, Newark |
| 开始时间： | 20120901 |
| 实际结束时间： | 30120830 |
| 主题领域： | Highways；Operations and Traffic Management；Planning and Forecasting；Safety and Human Factors |
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