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Application of bayesian techniques for the identification of accident-prone road sections

Guerrero-Barbosa, Thomas Edison and Amarís-Castro, Gloria Estefany (2014) Application of bayesian techniques for the identification of accident-prone road sections. Dyna; Vol. 81, núm. 187 (2014); 209-214 DYNA; Vol. 81, núm. 187 (2014); 209-214 2346-2183 0012-7353 .

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URL oficial: http://revistas.unal.edu.co/index.php/dyna/article...

Resumen

The use of Bayesian techniques for the identification of accident-prone road sections has become very important in recent years. The objective of this investigation consisted of identifying accident-prone road sections in the Municipality of Ocaña (Colombia) using the Bayesian Method (BM); the modeling approach developed involved the creation of a database of accidents that occurred between the years 2007 (January) and 2013 (August) and the application of the methodology on 15 sections of urban road. The final analyses show that the BM is an original and fast tool that is easily implemented, it provides results in which 4 accident-prone or dangerous road sections were identified and ranked them in order of danger, establishing a danger ranking that provides a prioritization for investments and the implementation of preventive and/or corrective policies that will maximize benefits associated with road safety.

Tipo de documento:Artículo - Article
Información adicional:Derechos de autor reservados
Palabras clave:Bayesian Method, accident-prone sections, hazard ranking, road safety
Unidad administrativa:Revistas electrónicas UN > Dyna
Código ID:44493
Enviado por : Dirección Nacional de Bibliotecas STECNICO
Enviado el día :25 Oct 2014 09:04
Ultima modificación:29 Enero 2015 15:23
Ultima modificación:29 Enero 2015 15:23
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