A risk assessment study on accidents at French level crossings using Bayesian belief networks
نویسندگان
چکیده
منابع مشابه
Project Portfolio Risk Response Selection Using Bayesian Belief Networks
Risk identification, impact assessment, and response planning constitute three building blocks of project risk management. Correspondingly, three types of interactions could be envisioned between risks, between impacts of several risks on a portfolio component, and between several responses. While the interdependency of risks is a well-recognized issue, the other two types of interactions remai...
متن کاملHealth Risk Assessment for Sewer Workers using Bayesian Belief Networks
The sanitary sewerage connection rate becomes an important indicator of advanced cities. Following the construction of sanitary sewerages, the maintenance and management systems are required for keeping pipelines and facilities functioning well. These maintenance tasks often require sewer workers to enter the manholes and the pipelines, which are confined spaces short of natural ventilation and...
متن کاملTrust-Based Security Level Evaluation Using Bayesian Belief Networks
Security is not merely about technical solutions and patching vulnerabilities. Security is about trade-offs and adhering to realistic security needs, employed to support core business processes. Also, modern systems are subject to a highly competitive market, often demanding rapid development cycles, short life-time, short time-to-market, and small budgets. Security evaluation standards, such a...
متن کاملSituation Assessment via Bayesian Belief Networks
We present here an approach to battlefield situation assessment based on a level 2 fusion processing of incoming information via probabilistic Bayesian Belief Network technology. A belief network (BN) can be thought of as a graphical program script representing causal relationships among various battlefield concepts represented as nodes to which observed significant events are posted as evidenc...
متن کاملThe Systems Integration Technical Risk Assessment Model based on a Bayesian Belief Networks
This paper presents an approach for modelling Systems Integration Technical Risks (SITR) assessment using Bayesian Belief Networks (BBN). SITR represent significant part of project risks associated with development of large software intensive systems in Defence and Civilian Industry. We propose conceptual modelling framework to address the problem of SITR assessment at early stages of a system ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Injury Control and Safety Promotion
سال: 2017
ISSN: 1745-7300,1745-7319
DOI: 10.1080/17457300.2017.1416480