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Memorias de investigación
Artículos en revistas:
Reliability-based analysis of sight distance modelling for traffic safety
Año:2017
Áreas de investigación
  • Carreteras
Datos
Descripción
Sight distance is of the utmost importance for traffic safety. The consideration of three-dimensional (3D) available sight distance (ASD) in geometric design has been supported by several researchers. However, existing ASD estimation methods are two-dimensional (2D) in nature, which do not evaluate varying visibility conditions. This paper compares different methodologies of modelling the ASD. The ASD of 402 horizontal curves, located in twelve in-service two-lane rural highways, was analyzed. Three ASD estimation methods were used which include a 2D method and two different 3D methods. The ASD results obtained through 2D and 3D methodologies are compared. Also, the different conditions of the existing roadside features or geometric elements, under which the 3D ASD estimation is important, were identified. Next, reliability theory is utilized to evaluate the risk level (probability of noncompliance, Pnc) associated with limited sight distance for each ASD modelling method. The results of the comparison emphasized the importance of considering the 3D modelled sight distance when evaluating the associated risk either in highway design or during the service life. In addition, the results indicated that the ASD modelling approach can have a significant impact on the estimation of the safety of highway design.
Internacional
Si
JCR del ISI
Si
Título de la revista
Journal of Advanced Transportation
ISSN
0197-6729
Factor de impacto JCR
1,292
Información de impacto
Datos JCR del año 2015
Volumen
DOI
10.1155/2017/5612849
Número de revista
2017
Desde la página
1
Hasta la página
12
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Cesar de Santos Berbel (UPM)
  • Autor: Mohamed Essa (University of British Columbia)
  • Autor: Tarek Sayed (University of British Columbia)
  • Autor: Maria Castro Malpica (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ingeniería de Carreteras I+D (ICID)
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