Observatorio de I+D+i UPM

Memorias de investigación
Book chapters:
Risk Assessment of the Sapnish National Railway System.
Year:2012
Research Areas
  • Engineering
Information
Abstract
The principal risks in the railway industry are mainly associated with collisions, derailments and level crossing accidents. An understanding of the nature of previous accidents on the railway network is required to identify potential causes and develop safety systems and deploy safety procedures. Risk assessment is a process for determining the risk magnitude to assist with decision-making. We propose a three-step methodology to predict the mean number of fatalities in railway accidents. The first is to predict the mean number of accidents by analyzing generalized linear models and selecting the one that best fits to the available historical data on the basis of goodness-offit statistics. The second is to compute the mean number of fatalities per accident and the third is to estimate the mean number of fatalities. The methodology is illustrated on the Spanish railway system. Statistical models accounting for annual and grouped data for the 1992-2009 time period have been analyzed. After identifying the models for broad and narrow gauges, we predicted mean number of accidents and the number of fatalities for the 2010-18 time period.
International
Si
10.1142/9789814417747_0176
Book Edition
Book Publishing
World Scientific
ISBN
978-981-4417-73-0
Series
Computer Engineering and Decision Making
Book title
Uncertainty Modeling in Knowledge Engineering and Decision Making
From page
1099
To page
1104
Participants
  • Autor: Alfonso Mateos Caballero (UPM)
  • Autor: Antonio Jimenez Martin (UPM)
  • Autor: H.J. Pichardo
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de análisis de decisiones y estadística
  • Departamento: Inteligencia Artificial
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