Study Details

Study Title: Evaluating the Effectiveness of an Automated Red Light Running Enforcement Program in Iowa Using a Bayesian Analysis

Authors: Hallmark et al.

Publication Date:JAN, 2010

Abstract: Red light running is a serious safety issue that results in more than 100,000 crashes and 1,000 fatalities annually. In Iowa, RLR accounts for 21% of total crashes at signalized intersections and 35% of fatal and major injury crashes at signalized intersections (according to data analyzed from 2001 to 2006). As transportation agencies struggle to address RLR, they are increasingly turning to the use of red light camera enforcement. In Iowa, three communities currently use RLR camera enforcement. One of the communities, Davenport, Iowa, installed cameras in 2004, so two years of crash data after installation were available for analysis. A Bayesian statistical before and after analysis was used to evaluate the effectiveness of Davenport's RLR cameras. The analysis included control intersections. The results of the analysis indicated that the cameras were effective in reducing total crashes and RLR crashes. Results also indicated that rear-end crashes related to RLR did not increase at camera-enforced intersections.

Study Citation: Hallmark, S., M. Orellana, E. Fitzsimmons, T. McDonald, D. Matulac. "Evaluating the Effectiveness of an Automated Red Light Running Enforcement Program in Iowa Using a Bayesian Analysis." TRB 89th Annual Meeting Compendium of Papers CD-ROM. Washington, D.C. 2010.

Study Report: Download the Study Report Document


CMFs Associated With This Study

Category: Advanced technology and ITS

Countermeasure: Implement automated red light running enforcement cameras (RLR-related crashes)

CMF CRF(%)QualityCrash TypeCrash SeverityRoadway TypeArea Type
0.6402 StarsAllAllPrincipal Arterial Other
0.9822 StarsRear endAllPrincipal Arterial Other

Countermeasure: Install red-light cameras

CMF CRF(%)QualityCrash TypeCrash SeverityRoadway TypeArea Type
0.8202 StarsAllAllPrincipal Arterial Other