TRB Pubsindex
Text Size:

Title:

Evacuation Planning Using the Integrated System of Activity-Based Modeling and Dynamic Traffic Assignment

Accession Number:

01127506

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States
Order URL: http://www.trb.org/Main/Blurbs/Travel_...nd_Forecasting_2009_Volume_1_162864.aspx

Find a library where document is available


Order URL: http://worldcat.org/isbn/9780309142632

Abstract:

The occurrence of natural disasters in the coastal regions and numerous potential events in urban regions have drawn considerable attention among transportation stakeholders. Federal, state, and local officials need to be effectively prepared to address the challenges raised by an evacuation. The focus of this research effort is to develop a tool to study the repercussions of evacuation of an entire regional transportation network recognizing the human behavior element. Neglecting these seemingly chaotic traffic flow patterns would lead to inaccurate system assessment and predictions. The influences of evacuees’ locations in the urban region at the moment of emergency alert are studied. In addition, the locations of all members of the household are identified, and household member interactions are explicitly considered. Further, the accurate times the individuals enter the network to evacuate the study region are studied; times can vary according to where the other household members are located at that time and the travel time on the network to reach those locations. To accomplish the goals, the integration framework of activity-based modeling and dynamic traffic assignment is used to study the evacuation traffic flow patterns at the time of evacuation. Specifically, the paper describes the evacuation problem, discusses the utility of deploying the integrated module of activity-based modeling and dynamic traffic assignment for evacuation planning, and outlines the challenges in integrating these two tools.

Monograph Accession #:

01147879

Report/Paper Numbers:

09-2583

Language:

English

Authors:

Lin, Dung-Ying
Eluru, Naveen
Waller, S Travis
Bhat, Chandra R

ORCID 0000-0002-0715-8121

Pagination:

pp 69-77

Publication Date:

2009

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2132
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309142632

Media Type:

Print

Features:

Figures (3) ; References (38) ; Tables (3)

Subject Areas:

Highways; Planning and Forecasting; Security and Emergencies; I72: Traffic and Transport Planning

Files:

TRIS, TRB, ATRI

Created Date:

Jan 30 2009 6:56PM

More Articles from this Serial Issue: