Development Of A Red-light Running Violation
Index Model For Signalized Intersections
Author(s)
S. A. Arhin, E. C. Noel, L. Williams & M. Lakew
Abstract
The installation of Red-Light Cameras (RLCs) is often based on frequencies of
Red Light Violations at signalized intersections. Since frequencies could be
influenced by geometrical features of intersecting roadways and overall
vehicular volumes (or exposure) there is doubt about their appropriateness in
making decisions regarding the installation of RLCs. Inappropriate installation
could result in unintended consequences such as increasing the frequency of
some types of crashes. In order to eliminate the potential for bias with the use of
frequencies as a means of deciding which intersections may need RLCs, a Red-
Light Violation Index (RLVI) is introduced for dense urban environments. There
is no red-light violation or red light crash threshold in the District of Columbia
above which red light cameras should be considered for installation. In this
research, a model for background or base RLVI was established which could
assist engineers in determining the expected potential for red light running at
intersections based on engineering properties, without the use of red-light
running frequencies or crash records. A RLVI probabilistic regression model was
developed based on five intersection independent variables: vehicles per hour
green, lane configuration, clearance distance, duration of green and posted speed
limit. The results showed a statistically significant regression model with an R2
of 81%, at a 5% level of significance.
Keywords: red-light running, intersection safety.
1 Introduction
Between 1999 and 2010, the Metropolitan Police Department installed
approximately 50 Red-Light Cameras (RLCs) in the District of Columbia (DC).
Keywords
red-light running, intersection safety
Related Book
Other papers in this volume
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