Document Detail


Crash data analysis: collective vs. individual crash level approach.
MedLine Citation:
PMID:  18023643     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
INTRODUCTION: Traffic safety literature has traditionally focused on identification of location profiles where "more crashes are likely to occur" over a period of time. The analysis involves estimation of crash frequency and/or rate (i.e., frequency normalized based on some measure of exposure) with geometric design features (e.g., number of lanes) and traffic characteristics (e.g., Average Annual Daily Traffic [AADT]) of the roadway location. In the recent past, a new category of traffic safety studies has emerged, which attempts to identify locations where a "crash is more likely to occur." The distinction between the two groups of studies is that the latter group of locations would change based on the varying traffic patterns over the course of the day or even within the hour. METHOD: Hence, instead of estimation of crash frequency over a period of time, the objective becomes real-time estimation of crash likelihood. The estimation of real-time crash likelihood has a traffic management component as well. It is a proactive extension to the traditional approach of incident detection, which involves analysis of traffic data recorded immediately after the incident. The units of analysis used in these studies are individual crashes rather than counts of crashes. RESULTS: In this paper, crash data analysis based on the two approaches, collective and at individual crash level, is discussed along with the advantages and shortcomings of the two approaches.
Authors:
Mohamed Abdel-Aty; Anurag Pande
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2007-10-22
Journal Detail:
Title:  Journal of safety research     Volume:  38     ISSN:  0022-4375     ISO Abbreviation:  J Safety Res     Publication Date:  2007  
Date Detail:
Created Date:  2007-11-20     Completed Date:  2008-01-24     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  1264241     Medline TA:  J Safety Res     Country:  United States    
Other Details:
Languages:  eng     Pagination:  581-7     Citation Subset:  IM    
Affiliation:
Department of Civil & Environmental Engineering, University of Central Florida, Orlando, FL 32816-2450, USA.
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MeSH Terms
Descriptor/Qualifier:
Accidents, Traffic / statistics & numerical data*
Environment Design
Forecasting
Geography*
Humans
Likelihood Functions
Risk Assessment / methods*
Safety*
Time
United States / epidemiology

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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