Prototype design for a predictive model to improve evacuation operations : technical report.

Henk, Russell H.; Songchitruksa, Praprut; Venglar, Steven; Lim, Gino; Texas Transportation Institute

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Prototype design for a predictive model to improve evacuation operations : technical report.

2011-08-01
By Henk, Russell H. ; Songchitruksa, Praprut ; Venglar, Steven ; ...

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English

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Alternative Title:

Project title: Prototype design for a predictive model to improve evacuation operations
Creators:

Henk, Russell H. ; Songchitruksa, Praprut ; Venglar, Steven ; Lim, Gino

Henk, Russell H. ; Songchitruksa, Praprut ; Venglar, Steven ; Lim, Gino Less -
Corporate Creators:

Texas Transportation Institute
Corporate Contributors:

Texas. Dept. of Transportation. Research and Technology Implementation Office
Subject/TRT Terms:

[+]

Disaster Preparedness Disasters Disasters And Emergency Operations Emergencies Emergency Management Emergency Transportation--Texas Evacuation Evacuation Of Civilians--Texas
Publication/ Report Number:

FHWA/TX-11/0-6121-1
Resource Type:

Tech Report
Geographical Coverage:

Texas
Edition:

Technical report; Feb. 2009-Jan. 2011.
Corporate Publisher:

Texas Transportation Institute
Abstract:

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)

a nd human behavior.
Format:

PDF
Funding:

Project 0-6121
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:823eeffaf7d8ca87d05df19ca393b5868e9eed139d1672d9725a6872025f8225
Download URL:

https://rosap.ntl.bts.gov/view/dot/23087/dot_23087_DS1.pdf
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Prototype design for a predictive model to improve evacuation operations : technical report.

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