TRB Pubsindex
Text Size:

Title:

Distributed Approach for Estimation of Dynamic Origin–Destination Demand

Accession Number:

01129774

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States
Order URL: http://trb.org/Main/Blurbs/Information...ographic_Information_Systems_162392.aspx

Find a library where document is available


Order URL: http://worldcat.org/isbn/9780309126205

Abstract:

The problem of dynamic origin–destination (O-D) demand estimation aims at estimating the unknown demand values for all O-D pairs and departure times with the use of available time-varying link flow observations. This paper presents a distributed algorithm for estimating the dynamic O-D tables for urban transportation networks. The new algorithm supports the deployment of systems for real-time traffic network management that adopt dynamic traffic assignment methodology for network state estimation and prediction. It encapsulates available link information and reduces the data size required by conventional algorithms for O-D demand estimation. The algorithm adopts a two-stage approach. In the first stage, the study area under consideration is divided into a number of subareas, and an O-D demand table is estimated independently for each subarea. These local O-D tables are then integrated to construct an O-D table for the entire study area. An application of the new algorithm for a typical freeway network is presented as an example.

Monograph Accession #:

01141653

Report/Paper Numbers:

09-2167

Language:

English

Authors:

Etemadnia, Hamideh
Abdelghany, Khaled

Pagination:

pp 127-134

Publication Date:

2009

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2105
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309126205

Media Type:

Print

Features:

Figures (5) ; References (20) ; Tables (3)

Uncontrolled Terms:

Subject Areas:

Data and Information Technology; Highways; Planning and Forecasting; I72: Traffic and Transport Planning

Files:

TRIS, TRB

Created Date:

Jan 30 2009 6:31PM

More Articles from this Serial Issue: