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Title:

COMPARATIVE STUDY OF EMME/2 AND QRS II FOR MODELING A SMALL COMMUNITY

Accession Number:

00968485

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/0309085950

Abstract:

The availability of so many computer-based travel-demand forecasting models provides transportation planners with powerful and flexible tools in the modeling phase of their planning or traffic-impact studies, but it has confused users in the selection of an appropriate model for a particular study. It is commonly recognized that none of the existing travel-demand models is perfectly suited for all network scenarios and traffic conditions. A particular model that is strong in one application scenario may be weak in a different application scenario. A comparative study is presented of two widely used travel-demand forecasting models, EMME/2 and QRS II, for applications to a small community. A structural comparison is performed, and a real-world small network is modeled by EMME/2 and QRS II to identify specific features and limitations of each model. Areas for comparison include model structure, drawing of the network, data input, network modification, parameter calibration, and modeling output. The study does not recommend either model to transportation planners for a practical application to a small community. Instead, the study identifies the major differences and common features of two models, which can help planners understand what they can expect from a certain model when they choose to use it.

Supplemental Notes:

This paper appears in Transportation Research Record No. 1858, Transportation Planning and Analysis 2003.

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Yu, L
Yue, P
Teng, H

Pagination:

p. 103-111

Publication Date:

2003

Serial:

Transportation Research Record

Issue Number: 1858
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309085950

Features:

Figures (7) ; References (11) ; Tables (3)

Uncontrolled Terms:

Subject Areas:

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

Files:

TRIS, TRB

Created Date:

Jan 6 2004 12:00AM

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