Investigation of Violation Reduction at Intersection Approaches with Automated Red Light Running Enforcement Cameras in Clive, Iowa, Using a Cross-Sectional Analysis

Fitzsimmons, Eric J; Hallmark, Shauna; Orellana, Massiel; McDonald, Thomas J.; Matulac, David

doi:10.1061/(asce)te.1943-5436.0000079

Cited by 10 publications

(17 citation statements)

References 3 publications

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“…The finding from this study is consistent with the findings of past studies by Retting et al [10,11] and Fitzsimmons et al [16] which concluded that AES program is effective in reducing RLV behaviours at signalised intersections. Table 1 shows the results summary of t-test comparing means between before and after AES installation with a consideration of different type of vehicles, turning movement, and time of a day.…”

Section: Before and After Aes Installation Comparisonsupporting

confidence: 93%

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Effectiveness of Automated Enforcement System (Aes) in Reducing Red Light Violation (Rlv) Behaviours: A Case Study in Kuala Lumpur

Kabit¹,

Sabihin²,

Ibrahim³

2016

JCEST

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The national statistics indicates that red light violations (RLV) have become a significant safety problem throughout the nation. As a result, the Malaysian government has initiated the installation of automated enforcement system (AES) to reduce RLV related crashes at identified critical locations particularly in Kuala Lumpur region. The primary aim of this study was to evaluate the effectiveness of AES installation in reducing RLR at signalised intersections using a case study at Jalan Ipoh, Kuala Lumpur. Before and after AES installation data were collected and were analysed using a statistical tool. T-test results indicated that the installation of AES has significantly reduced RLV behaviours at the studied signalised intersection. The results of this study provide a useful insight on the benefits of AES in decreasing intersection related crashes by means of reducing RLV behaviours among the road users through AES installation.

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Section: Before and After Aes Installation Comparisonsupporting

confidence: 93%

“…Fitzsimmons et al [16] used a cross-sectional analysis the effectiveness of red light running cameras in reducing the number of RLVs in Iowa. A Poisson lognormal regression results indicated that red light running cameras substantially reduced the number of violations at camera-enforced approaches as compared to control approaches.…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Automated Enforcement System (Aes) in Reducing Red Light Violation (Rlv) Behaviours: A Case Study in Kuala Lumpur

Kabit¹,

Sabihin²,

Ibrahim³

2016

JCEST

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“…Studies conducted in the US by Retting et al (1999aRetting et al ( , 1999b were trying to establish the effect of RLC on the occurrence of traffic accidents due to RLR and shown that the introduction of RLC affects the reduction of accidents caused by RLR by 44% or 22% respectively. Also, Smith et al (2000) and Fitzsimmons et al (2009) examined effects of automated enforcement and found significantly reducing in RLR, i.e. Smith et al (2000) found reducing in 20% of RLR, and Fitzsimmons et al (2009) found almost 25 times higher RLR violations at location without RLC than at locations with RLC, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…Also, Smith et al (2000) and Fitzsimmons et al (2009) examined effects of automated enforcement and found significantly reducing in RLR, i.e. Smith et al (2000) found reducing in 20% of RLR, and Fitzsimmons et al (2009) found almost 25 times higher RLR violations at location without RLC than at locations with RLC, respectively.…”

Section: Introductionmentioning

confidence: 99%

Selection and assessment of the relevant data for reducing the number of red-light running

et al. 2016

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Abstract. Although traffic light controlled intersections separate, the traffic flows by time and space, road traffic accidents still occur, usually due to Red-Light Running (RLR). In order to define countermeasures to solve this problem, it is necessary to collect and analyze certain data that will indicate type of measures, which should be applied. In this paper, it was done on the example of one 3-leg and one 4-leg intersection where citizens provided information about frequent RLR to the City Administration of Belgrade (Serbia). The statistical significance of differences between the collected data was tested by ANOVA analysis and by PostHoc Tukey test, which showed that forecasting of second of RLR after red-light onset could effectively be conducted by Cubic distribution. In order to define the so-called RLR risk indicator for the intersection, the use of the Danger Degree (DD) indicator, that presents the rate between the number of dangerous situations caused by RLR and the total number of RLR, was proposed.

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“…It should be noted that this change seen during phase three may also include residual decreases due to the increased yellow time. Fitzsimmons et al (2009) completed a cross sectional analysis to determine the effect of red light cameras on red light violations. A cross sectional analysis was completed in place of a before and after study due to a lack of before data being collected.…”

Section: Red Light Programsmentioning

confidence: 99%

Evaluation of the safety effects of red light cameras: A case study

Oneyear

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Investigation of Violation Reduction at Intersection Approaches with Automated Red Light Running Enforcement Cameras in Clive, Iowa, Using a Cross-Sectional Analysis

Cited by 10 publications

References 3 publications

Effectiveness of Automated Enforcement System (Aes) in Reducing Red Light Violation (Rlv) Behaviours: A Case Study in Kuala Lumpur

Effectiveness of Automated Enforcement System (Aes) in Reducing Red Light Violation (Rlv) Behaviours: A Case Study in Kuala Lumpur

Selection and assessment of the relevant data for reducing the number of red-light running

Evaluation of the safety effects of red light cameras: A case study

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