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1.
Accid Anal Prev ; 100: 133-142, 2017 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-28131970

RESUMO

How safe are the ramp terminals of a diverging diamond interchange (DDI)? This paper answered this question using data from DDI sites in Missouri. First, crash prediction models for ramp terminals for different crash severities were developed. These models were then utilized in the Empirical Bayes (EB) evaluation of DDI ramp terminals. Due to inconsistencies in crash reporting for freeways in Missouri, individual crash reports were reviewed to properly identify ramp terminal crashes. A total of 13,000 crash reports were reviewed for model development and EB evaluation. The study found that the DDI ramp terminals were safer than the conventional diamond signalized terminals. The DDI ramp terminals experienced 55% fewer fatal and injury crashes, 31.4% fewer property damage only crashes, and 37.5% fewer total crashes.


Assuntos
Acidentes de Trânsito/estatística & dados numéricos , Condução de Veículo/estatística & dados numéricos , Planejamento Ambiental/estatística & dados numéricos , Segurança/estatística & dados numéricos , Acidentes de Trânsito/prevenção & controle , Teorema de Bayes , Calibragem , Humanos , Missouri
2.
Traffic Inj Prev ; 18(1): 70-76, 2017 01 02.
Artigo em Inglês | MEDLINE | ID: mdl-27348043

RESUMO

OBJECTIVE: Red light cameras (RLCs) have generated heated discussions over issues of safety effectiveness, revenue generation, and procedural due process. This study focuses on the safety evaluation of RLCs in Missouri, including the economic valuation of safety benefits. The publication of the national Highway Safety Manual (HSM; American Association of State Highway and Transportation Officials) in 2010 produced statistical safety models for intersections and spurred the calibration of these models to local conditions. METHODS: This study adds to existing knowledge by applying the latest statistical methodology presented in the HSM and more current data. Driver behavior constantly changes due in part to driving conditions and the use of technology. The safety and economic benefit evaluation was performed using the empirical Bayes method, which accounts for regression to the mean bias. For the economic benefit evaluation, the KABCO crash severity scale and crash cost estimates were used. A total of 24 4-leg urban intersections were randomly selected from a master list of RLCs in Missouri from 2006 to 2011. Additionally, 35 comparable nontreated intersections were selected for the analysis. RESULTS AND CONCLUSIONS: The implementation of RLCs reduced overall angle crashes by 11.6%, whereas rear-end crashes increased by 16.5%. The net economic crash cost benefit of the implementation of RLCs was $35,269 per site per year in 2001 dollars (approximately $47,000 in 2015 dollars). Thus, RLCs produced a sizable net positive safety benefit that is consistent with previous statistical studies.


Assuntos
Acidentes de Trânsito/prevenção & controle , Condução de Veículo/normas , Aplicação da Lei/métodos , Fotografação/instrumentação , Acidentes de Trânsito/economia , Acidentes de Trânsito/estatística & dados numéricos , Teorema de Bayes , Análise Custo-Benefício , Planejamento Ambiental , Humanos , Missouri , Modelos Teóricos , Segurança/economia
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