Work

Application of evidential networks in quantitative analysis of railway accidents

Year: 2013

Type: article

Abstract: Currently, a high percentage of accidents in railway systems are accounted to human factors. As a consequence, safety engineers try to take into account this factor in risk assessment. However, human reliability data are very difficult to quantify, thus, qualitative methods are often used in railway system’s risk assessments. Modeling of human errors through probabilistic approaches has shown some limitation concerning the quantification of qualitative aspects of human factors. The proposed article presents an original method to account for the human factor by using evidential networks and fault tree analysis.

Source: Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability

DOI: 10.1177/1748006x12475044

Authors: Felipe Aguirre, Mohamed Sallak, Walter Schön, Fabien Belmonte

Institutions: Université de Technologie de Compiègne, Alstom (France)

Language: English

Topic: Risk and Safety Analysis

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funder: Agence Nationale de la Recherche