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:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/647342428
-
Corporate Authors:
University of California, Berkeley
Safe Transportation Research and Education Center
2614 Dwight Way, #7374
Berkeley, CA United States 94720-7374University 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