The impact of red light cameras on safety in Arizona

Shin, Kangwon; Washington, Simon

doi:10.1016/j.aap.2007.03.010

Cited by 67 publications

(67 citation statements)

References 14 publications

(21 reference statements)

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“…Again, a full derivation and justification for the variances ofˆ are available in Hauer (1997) and Washington et al (2007). The estimation results from the 3 evaluation approaches are summarized in Table 7, in which the significance of the estimates was tested with the conditional binomial test as well as the normal test (Przyborowski and Wilenski, 1940;Sahai and Misra, 1992;Hauer, 1996;Ng and Tang, 2005;Shin and Washington, 2007). The results from the empirical Bayes BA approach show that the total number of target crashes was reduced by 54%, the total number of injury crashes was reduced by 48%, and the total number of PDO crashes decreased by 56%.…”

Section: Impact On Safetymentioning

confidence: 97%

Evaluation of the Scottsdale Loop 101 automated speed enforcement demonstration program

Shin

Washington

Schalkwyk

2009

Accident Analysis & Prevention

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Section: Impact On Safetymentioning

confidence: 97%

Evaluation of the Scottsdale Loop 101 automated speed enforcement demonstration program

Shin

Washington

Schalkwyk

2009

Accident Analysis & Prevention

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“…Red light cameras (RLCs), however, are increasingly being used to discourage red light runners and decrease related crashes. Determining whether RLCs are effective is difficult for several reasons [9]. One issue is the phenomenon known as regression to the mean (RTM).…”

Section: Introductionmentioning

confidence: 99%

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2017

BBIJ

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The purpose of this article was to develop an accident prediction model for motor vehicle crashes occurring within Miami-Dade County, Florida during 2008-2011 Motor vehicle crash data were extracted from the Florida Department of Motor Vehicle and Highway Safety dataset for 40 intersections within Miami-Dade County, Florida for development of an accident prediction model. Each intersection was matched at least one of 20 red light camera (RLC) sites using selected geometric variables. In addition, each intersection examined was at least 2 miles away from any RLC site. The dependent variable examined was the number of injury crashes occurring at each intersection between 2008 and 2011. Poisson, negative binomial, and gamma model distributions were compared using the Pearson's chi square ( ) 2 χ , scaled deviance (G 2 ), and Akaike Information Criterion (AIC) goodness of fit tests. Our analysis indicated that the negative binomial distribution was the best fit among the three models. Inspection of the observed data also suggested that the outcome variable's distribution was over dispersed. This study provided guidance on the use of goodness of fit testing (GOF) statistics for Poisson, negative binomial, and gamma models which will allow other researchers to evaluate different models.

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“…KITS are developed with the aim of preventing accidents caused by red light violations at signalized intersections, detecting the offender drivers and applying criminal sanctions (See Figure 1). The general characteristics of these systems can be summarized as follows [21][22][23][24]:…”

Section: Red Light Violation Detection Systems and Working Principlesmentioning

confidence: 99%

Utilization of a New Methodology on Performance Measurements of Red Light Violations Detection Systems

Aydın¹,

Köfteci²,

Akgol³

et al. 2017

International Journal of Engineering &Amp; Applied Sciences

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In recent years, intelligent transportation systems are under a continuous development which are the direct integration of TECS) and they are considered under different categories such as intelligent intersection systems, vehicle counting systems, safety strip violation detection systems, speed violation detection systems, speed corridors, red light violation detection systems and parking violation detection systems. Within the scope of this study, the performance of a red light violation system installed at the 4-leg signalized intersection at Antalya-Burdur highway entrance of Celtikci district belonging to the TECS was investigated by implementing a new proposed methodology.According to the performance analysis of the system, it was found that system has maximum 2 seconds error limit and its performance was found appropriate for all conditions (green to red, red to green, all green and all red). This study also demonstrated that the new measurement method accurately measures the performance of the system by examining all measurement possibilities.

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The impact of red light cameras on safety in Arizona

Cited by 67 publications

References 14 publications

Evaluation of the Scottsdale Loop 101 automated speed enforcement demonstration program

Evaluation of the Scottsdale Loop 101 automated speed enforcement demonstration program

Untitled

Utilization of a New Methodology on Performance Measurements of Red Light Violations Detection Systems

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