Title

Safety Assessment And Spatial Exploration Of Automated Red-Light Running Enforcement Cameras

Keywords

Automated photo-enforcement; Crash modification factors; Empirical bayes; Red light running cameras; Safety effectiveness; Spatial analysis

Abstract

Red Light cameras may have a demonstrable impact on reducing the frequency of red light running violations; however, their effect on the overall safety at intersections is still up for debate. This paper examined the safety impacts of Red Light Cameras (RLCs) using the Empirical Bayes (EB) method. The safety evaluation was performed at three main levels; only target approaches where RLCs were installed, all approaches on RLC intersections, and non-RLC intersections located on the same travel corridors as the camera equipped intersections. Moreover, the spatial spillover effects of RLCs were also examined on an aggregate level to evaluate the safety impacts on a regional scale. The results from this study indicated that there was a consistent significant reduction in angle and left-turn crashes and a significant increase in rear-end crashes on target approaches, in addition, the magnitude and the direction of these effects, to a lesser degree, were found similar on the whole intersection. Similar trends in shift of crash types were spilled-over to non-RLC intersections in the proximity of the treated sites.

Publication Date

1-1-2014

Publication Title

21st World Congress on Intelligent Transport Systems, ITSWC 2014: Reinventing Transportation in Our Connected World

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84929190602 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84929190602

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