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Title:

Comprehensive Analysis of Relationship Between Real-Time Traffic Surveillance Data and Rear-End Crashes on Freeways
Cover of Comprehensive Analysis of Relationship Between Real-Time Traffic Surveillance Data and Rear-End Crashes on Freeways

Accession Number:

01023126

Record Type:

Component

Availability:

Transportation Research Board Business Office

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Washington, DC 20001 United States
Order URL: http://www.trb.org/Main/Public/Blurbs/158306.aspx

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Order URL: http://worldcat.org/isbn/0309099625

Abstract:

Rear-end collisions are the single most frequent type of crash on freeways. Their impact on freeway operation is also most noticeable because almost all of them occur during periods of medium to heavy demand. Preliminary explorations of average traffic speeds before a crash measured at loop detector stations surrounding the crash location showed that rear-end crashes can be placed into two mutually exclusive groups: first, those that occur under extended congestion and, second, those that occur with relatively free-flow conditions prevailing 5 to 10 min before the crash. With loop detector data preceding these two groups of rear-end crashes contrasted with randomly selected noncrash data, it was found that the first group can be attributed to parameters such as the coefficient of variation in speed and average occupancy measurable through loop detectors at stations in the close vicinity of the crash location. For the second group, traffic parameters such as average speed and occupancy at stations downstream of the crash location were significant as were off-line factors such as the time of day and presence of an on-ramp in the downstream direction. It was also observed that traffic conditions belonging to the first segment occurred rarely on the freeway but still made up about half the rear-end crashes. This observation, along with neural network–based classifiers, has been used to propose a strategy for real-time identification of conditions prone to the rear-end crashes. The strategy can potentially identify almost 75% of rear-end crashes, with reasonable false alarms.

Monograph Accession #:

01033051

Language:

English

Authors:

Abdel-Aty, Mohamed
Pande, Anurag

Pagination:

pp 31-40

Publication Date:

2006

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 1953
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309099625

Media Type:

Print

Features:

Figures (1) ; References (16) ; Tables (6)

Uncontrolled Terms:

Subject Areas:

Highways; Operations and Traffic Management; Safety and Human Factors; I73: Traffic Control; I80: Accident Studies

Files:

TRIS, TRB

Created Date:

Feb 28 2006 1:52PM

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