Is defined as the measure of a danger combining a measure of the occurrence of an undesirable event and a measure of its effects or consequences. It is characterized by the couple “probability” of occurrence of the potential accident and the “severity” of the damage and consequences “. The risk is expressed, for example, in monetary unit per unit of time, in number of deaths per unit of time or in probability of death per unit of time. In our context, we use the term “risk” to denote a circumstance which can lead to bodily harm. In the field of rail transport safety, several potential risks have been identified such as collision, derailment, electrocution.
Published in Chapter:
Decision Support Approach for Assessing of Rail Transport: Methods Based on AI and Machine Learning
Habib Hadj-Mabrouk (University Gustave Eiffel, France)
Copyright: © 2021
|Pages: 23
DOI: 10.4018/978-1-7998-8040-0.ch005
Abstract
As part of the certification process for a new rail transport system, one of the essential steps is to examine, from a safety point of view, that the system (and its technical and human environment) satisfies the regulatory requirements of safety and in particular that it can in no case be a source of risk for travelers. This intellectual process by which a certification expert assesses a situation, predicts an event, or makes a decision is often difficult to model in the form of reliable and definitive algorithms. This difficulty can be partially overcome by using artificial intelligence (AI) techniques. In order to improve the usual approaches to analysis and evaluation of safety studies used in the context of certification, this chapter presents several methods and tools based on AI techniques and in particular on knowledge acquisition methods, supervised machine learning (SML), case-based reasoning (CBR), and knowledge-based systems (KBS).