Sponsor
Portland State University. Department of Civil & Environmental Engineering
First Advisor
Christopher M. Monsere
Date of Publication
Fall 11-29-2012
Document Type
Thesis
Degree Name
Master of Science (M.S.) in Civil & Environmental Engineering
Department
Civil and Environmental Engineering
Language
English
Subjects
Traffic signs and signals -- Control systems, Traffic accidents -- Research -- Oregon -- Portland, Traffic accidents -- Safety measures
DOI
10.15760/etd.882
Physical Description
1 online resource (xiv, 147 p.)
Abstract
Crashes resulting from automobiles running a red light are typically severe in nature. One way to try to reduce the number and severity of these types of crashes is by increasing the red clearance interval of a traffic signal. In Portland, Oregon, eight intersections received a variety of treatments including red extensions. Determining which treatment had what effect can be difficult to weed out. Using a combination of crash analysis and a model simulating an intersection with red extensions, this paper describes the estimated impact of red light running intersection upgrades and red extensions on crashes. By performing a variety of before and after crash analysis, a reduction of angle crashes after treatments was detected, with a crash modification factor of 0.64 +/- 0.28 using the Empirical-Bayes method. Output from the simple simulation also suggest that red light running crashes can be reduced with red extension technology and confirms crash modification values determined from the Empirical-Bayes method.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Persistent Identifier
http://archives.pdx.edu/ds/psu/8856
Recommended Citation
Olson, Carl Scott, "Safety Effectiveness of Red Light Treatments for Red Light Running" (2012). Dissertations and Theses. Paper 882.
https://doi.org/10.15760/etd.882