FAA-EUROCONTROL Action Plan 15 on Safety Research identified the need to promote a wider use within the Air Traffic Management (ATM) community of the more advanced techniques in AP15’s toolbox of safety assessment techniques. These more advanced techniques are summarized under the term agent-based Dynamic Risk Modelling (agent-based DRM). The aim of this white paper is to provide a high level overview of agent-based DRM techniques together with insight on when and how to apply them to ATM.
The white paper aims to answer the following questions:
- Why do we need more advanced techniques to address safety risk assessment in ATM?
- What do we mean by the term ‘agent’, and why do we need to think of ATM in terms of
multiple human and technical agents that work together to provide a safe operation? - What do we mean by the terms ‘hazards’ and ‘dynamic interactions’?
- What is the principal difference between agent-based DRM and logic tree-based approaches?
- How does one conduct agent-based DRM?
- What types of output does agent-based DRM provide and what are some specific examples of
the feedback that it delivers to operational design? - What are some examples of agent-based DRM applications?
- When do you need to use agent-based DRM, and when could you do with other approaches?
- What are the resource requirements for agent-based DRM?
- How can agent-based DRM be used together with other approaches?
The white paper is completed with a list of references to literature.
Fill out the form below to receive your free copy of the NLR paper Agent-based Dynamic Risk Modelling for ATM by M. Everdij, H. Blom, S. Stroeve and B. Kirwan (Eurocontrol).