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Title:

Influential Evaluation of Data Sampling Techniques on Accuracy of Motorway Crash Risk Assessment Models
Cover of Influential Evaluation of Data Sampling Techniques on Accuracy of Motorway Crash Risk Assessment Models

Accession Number:

01506384

Record Type:

Component

Abstract:

Recently, many studies have been focusing on real-time detection of rear-end and sideswipe crash risks on motorways thanks to the availability of traffic data provided by traffic detectors and crash record databases. In these studies, traffic evolution leading to individual crashes called pre-crash cases is considered and differentiated with traffic conditions where there is no crash recorded, called non-crash cases. This trend of studies reflects the need of identifying traffic crash risk in real-time in order that appropriate countermeasures could be implemented to prevent the risk from further developing and ending up with a crash. These studies are called disaggregate studies as the units of analysis are crashes themselves, according to (Golob et al., 2004). However, one of issues for these studies is the imbalance between pre-crash and non-crash cases because crashes are rare events on motorways and there should be certain traffic conditions for rear-end and sideswipe crashes to occur. Therefore, it is important to choose appropriate noncrash cases to compare with pre-crash cases, which is usually neglected in previous disaggregate studies. In the present paper, four different techniques for sampling non-crash cases is reviewed and compared using individual vehicle traffic data and crash databases altogether available from 2003 to 2007 on Swiss motorways A1.

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 #:

01501394

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Pham, Minh-Hai
Dumont, Andre-Gilles

Pagination:

9p

Publication Date:

2011

Conference:

3rd International Conference on Road Safety and Simulation

Location: Indianapolis Indiana, United States
Date: 2011-9-14 to 2011-9-16
Sponsors: Purdue University; Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; Photos; References; Tables

Geographic Terms:

Switzerland

Subject Areas:

Highways; Safety and Human Factors; I80: Accident Studies

Files:

TRIS, TRB, ATRI

Created Date:

Jan 31 2014 7:50AM