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Title:

Model to Locate Sensors for Estimation of Static Origin–Destination Volumes Given Prior Flow Information

Accession Number:

01372927

Record Type:

Component

Availability:

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Washington, DC 20001 United States
Order URL: www.trb.org/Main/Blurbs/168300.aspx

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Order URL: http://worldcat.org/isbn/9780309223232

Abstract:

Static origin–destination (O-D) matrices that specify the number of trips from each origin to each destination are usually needed for several transportation planning and operations decisions. One approach to the estimation of an O-D matrix is to use data from traditional counting sensors on links in conjunction with models or assumptions on how vehicular traffic uses the network. A closely related problem is to locate a given number of counting sensors to obtain good estimates of O-D flows. In this paper, a new linear integer programming model for the placement of the sensors at a location to maximize the reduction in the uncertainties in route flows estimates is presented. The model assumes a general underlying traffic loading model, as long as the route choice set from each origin to each destination is known and prior route flows and their reliabilities for each O-D route are given. Extensive computational experiments and comparisons with some existing sensor location models indicate that the proposed model consistently gives good estimates of O-D flows.

Monograph Accession #:

01450929

Report/Paper Numbers:

12-2952

Language:

English

Authors:

Wang, Ning
Gentili, Monica
Mirchandani, Pitu

Pagination:

pp 67–73

Publication Date:

2012

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2283
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309223232

Media Type:

Print

Features:

Figures; References; Tables

Subject Areas:

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

Files:

TRIS, TRB, ATRI

Created Date:

Feb 8 2012 5:13PM

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