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Title:

Predicting Severe Accident Rates at Roundabouts Using Poisson Distribution

Accession Number:

01025770

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Highway engineers have been interested in the safety aspects of roadway design since the inception of transportation engineering. Conventionally, to evaluate the level of safety for an existing highway facility, the most practicable measure is historical accident records or, for a proposed facility, prediction of accident rates. Since at-grade intersections are the most likely areas of the highway network to experience higher accident rates because of the presence of conflict points, intersections deserve considerable attention from highway engineers in the study of safety issues. Roundabouts are becoming acceptable as a feasible alternative to other types of at-grade intersections. This growing attention is due to their distinct advantages with respect to safety and smooth traffic movement, especially for moderate levels of traffic flow. Many statistical approaches have been used to estimate the effect of variables such as vehicular flow, road or intersection geometry, and environmental features on traffic accident frequencies. Since accidents are rare, random discrete events, they are expected to follow the Poisson phenomenon. A review of previous studies reveals also that the most likely statistical distributions to describe accident occurrences are the Poisson and negative binomial distributions. In this paper, the focus is on the development of an accident prediction model to enable engineers and designers to appreciate the effects of different design features of roundabouts. Accidents that occurred at several roundabouts in Bahrain over the period 1991-2002 are analyzed. The different geometric and traffic characteristics are used as the input parameters in the model to estimate their significance for traffic safety at roundabouts. The GLIM statistical package is utilized to develop a statistical model that relates these characteristics with the level of safety.

Monograph Accession #:

01020180

Report/Paper Numbers:

06-1684

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Al-Ghamdi, Ali Saeed
Al-Ghirbal, Ahmed Saeid

Pagination:

27p

Publication Date:

2006

Conference:

Transportation Research Board 85th Annual Meeting

Location: Washington DC, United States
Date: 2006-1-22 to 2006-1-26
Sponsors: Transportation Research Board

Media Type:

CD-ROM

Features:

Appendices; Figures; References; Tables

Geographic Terms:

Subject Areas:

Highways; Planning and Forecasting; I20: Design and Planning of Transport Infrastructure

Source Data:

Transportation Research Board Annual Meeting 2006 Paper #06-1684

Files:

TRIS, TRB

Created Date:

Mar 3 2006 10:45AM