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Title:

PREDICTING ANNUAL INTERSECTION ACCIDENTS WITH CONFLICT OPPORTUNITIES
Cover of PREDICTING ANNUAL INTERSECTION ACCIDENTS WITH CONFLICT OPPORTUNITIES

Accession Number:

00812418

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/issn/00978515

Abstract:

Validation and the general algorithm are presented for a conflict opportunity-based annual accident prediction software for both signalized and unsignalized intersections over a wide variety of volume, geometry, speed, signal timing and phasing, and other variables. Validation to numerous intersections indicates an average prediction accuracy of 90% compared to the historical annual reported accident average at any individual intersection.

Supplemental Notes:

Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved

Monograph Accession #:

00812391

Report/Paper Numbers:

E-C019,
Paper A-1
Paper A-2

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Kaub, A R
Kaub, J A

Pagination:

12 p.

Publication Date:

2000-12

Serial:

Transportation Research Circular

Issue Number: E-C019
Publisher: Transportation Research Board
ISSN: 0097-8515

Features:

Figures (6) ; References (18) ; Tables (2)

Subject Areas:

Data and Information Technology; Design; Highways; Planning and Forecasting; Safety and Human Factors; I21: Planning of Transport Infrastructure; I81: Accident Statistics

Files:

TRIS, TRB

Created Date:

Jun 6 2001 12:00AM

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