The Continuous Risk Profile Approach for the Identification of High Collision Concentration Locations on Congested Highways

Many existing methods for detecting collision concentration locations (accident hot spots) require segmentation of roadways and assume traffic collision data are spatially uncorrelated. This results in falsely identifying sites for safety improvements that should not have been selected, and not identifying sites that should have been selected. The proposed method does not require segmentation of roadways; spatial correlation in the collision data does not affect the results of analysis. This new method has a lower false positive rate than the conventional sliding moving window approach. The proposed method can proactively identify locations with high accident rates and capture the benefit of countermeasures observed in the project location and in neighboring sites.

Record URL:
Availability:
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Corporate Authors:
University of California, Berkeley

Safe Transportation Research and Education Center
2614 Dwight Way, #7374
Berkeley, CA United States 94720-7374

University of California, Berkeley

Berkeley, CA United States 94720-1720
Authors:
- Chung, Koohong
- Ragland, David R
- Madanat, Samer M
- Oh, Soon Mi
Publication Date: 2009-7

Language

English

Media Info

Media Type: Web
Features: Figures; References; Tables;

Subject/Index Terms

TRT Terms: Countermeasures; Crash data; Crashes; High risk locations; Mathematical models; Risk analysis; Traffic congestion
Identifier Terms: Safety Performance Functions
Geographic Terms: California
Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors;

Filing Info

Accession Number: 01330094
Record Type: Publication
Source Agency: UC Berkeley Transportation Library
Report/Paper Numbers: UCB-ITS-TSC-2007-6-Updated
Files: CALTRANS, TRIS
Created Date: Feb 22 2011 11:27AM