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 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.

Language

  • English

Media Info

  • Media Type: Web
  • Edition: Technical Report
  • Features: Figures; References; Tables;
  • Pagination: 144p

Subject/Index Terms

Filing Info

  • Accession Number: 01354087
  • Record Type: Publication
  • Report/Paper Numbers: FHWA/TX-11/0-6121-1, Report 0-6121-1
  • Contract Numbers: Project 0-6121
  • Files: TRIS, USDOT, STATEDOT
  • Created Date: Oct 19 2011 12:53PM