Prototype design for a predictive model to improve evacuation operations : technical report /
Mass evacuations of the Texas Gulf Coast remain a difficult challenge. These events are massive in scale, highly complex, and entail an intricate, ever-changing conglomeration of technical and jurisdictional issues. This project focused primarily on the specific issue of developing a new technical t...
| Corporate Authors: | , , |
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| Other Authors: | |
| Format: | eBook |
| Language: | English |
| Published: |
College Station, Tex. :
Texas Transportation Institute, Texas A & M University System,
2011.
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| Series: | Research report (Austin, Tex.) ;
0-6121-1. |
| Subjects: | |
| Online Access: | Connect to the full text of this online resource. |
| Summary: | Mass evacuations of the Texas Gulf Coast remain a difficult challenge. These events are massive in scale, highly complex, and entail an intricate, ever-changing conglomeration of technical and jurisdictional issues. This project focused primarily on the specific issue of developing a new technical tool to help TxDOT and other key operating agencies/stakeholders better predict when major elements of evacuation operations should be implemented. In particular, a variety of technical analyses were employed to develop a new, prototype decision support system that provides additional insights to more effectively decide when evaculane shoulder operations versus full contraflow operations are needed to manage evacuation demand. This new tool has a predictive mechanism designed to provide lead time for implementing these two prospective operational scenarios. The work conducted during this research involved a large-scale application of the DynusT model, and integrates several different factors into the evacuation operation decision making process-namely real-time traffic conditions, hurricane characteristics (strength and size) and human behavior. |
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| Item Description: | Title from PDF title page (viewed Sept. 5, 2011). "March 2011. Published: August 2011." Electronic resource. |
| Physical Description: | 1 online resource (xiii, 129 pages) : illustrations (some color) |
| Bibliography: | Includes bibliographical references. |