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Title:

Design of Emergency Response System to Minimize Incident Impacts: Case Study for Maryland District 7 Network

Accession Number:

01506640

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

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Order URL: http://worldcat.org/isbn/9780309295666

Abstract:

Analysis of incident data from the Maryland Highway Administration leads to the conclusion that efficient operations of an incident management team can contribute to reduction in not only response time but also clearance time. This paper presents an integer programming model for optimizing the deployment locations of emergency response units. Unlike models in most existing studies, the proposed model is designed to assign the available units to minimize the total delay caused by incidents rather than to minimize the units’ average response times. By giving more weight to locations likely to have more severe incidents and accounting for the variance in incident duration, the proposed model with incident data from Maryland can outperform both the popular P-median model and state-of-the-practice deployment strategies. Extensive sensitivity analyses with respect to various traffic volumes and incident frequencies have also confirmed the superior performance of the proposed model in minimizing the total delay caused by incidents.

Monograph Accession #:

01559858

Report/Paper Numbers:

14-3004

Language:

English

Authors:

Kim, Hyeonmi
Kim, Woon
Chang, Gang-Len
Rochon, Steve M

Pagination:

pp 65–77

Publication Date:

2014

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2470
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309295666

Media Type:

Print

Features:

Figures (10) ; Maps; References (51) ; Tables (2)

Geographic Terms:

Subject Areas:

Highways; Operations and Traffic Management; Security and Emergencies; I73: Traffic Control

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Jan 27 2014 3:02PM

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