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Title:

Dynamic Network Simplex Method for Designing Emergency Evacuation Plans
Cover of Dynamic Network Simplex Method for Designing Emergency Evacuation Plans

Accession Number:

01047505

Record Type:

Component

Availability:

Transportation Research Board Business Office

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Washington, DC 20001 United States

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Order URL: http://worldcat.org/isbn/9780309104494

Abstract:

The cell-based system optimal dynamic traffic assignment (SO-DTA) model has recently been applied to study emergency evacuation by a handful of authors. It is recognized that an optimal solution to this model may contain a phenomenon called traffic holding, which discharges flow at a lower rate than what can be achieved under the given traffic conditions. Mathematically, this is caused by the relaxation of traffic flow propagation constraints. In this paper, an optimal traffic pattern that contains no holding is always proved to exist in the context of evacuation planning. An optimal traffic pattern without holding is much easier and less costly to implement in emergency response. A dynamic network simplex method for solving the simplified SO-DTA model that represents traffic flow propagation by a point-queue model is proposed. By making full use of the network structure, the algorithm is able to identify an optimal solution without holding. For the original cell-based SO-DTA, an iterative procedure is suggested that can effectively eliminate holding in a solution obtained from a conventional linear programming algorithm.

Monograph Accession #:

01088186

Language:

English

Authors:

Shen, Wei
Nie, Yu
Zhang, H M

Pagination:

pp 83-93

Publication Date:

2007

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2022
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309104494

Media Type:

Print

Features:

Figures (6) ; References (20) ; Tables (1)

Subject Areas:

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

Files:

TRIS, TRB

Created Date:

Feb 8 2007 7:06PM

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