Agent-based modelling and mental simulation for resilience engineering in air transport
Authored by Sybert H Stroeve, Mariken H C Everdij
Date Published: 2017
DOI: 10.1016/j.ssci.2016.11.003
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Abstract
Following a discussion of recent reviews, we argue that in resilience
engineering (RE) there is a need for more structured modelling
approaches for analysis of resilience in sociotechnical systems that can
support both qualitative and quantitative studies. In this paper we
present agent-based modelling and simulation (ABMS) as an approach
towards this end. An agent-based model of a sociotechnical system
describes the performance and interactions of its constituent human
operators and technical systems in an operational context. In support of
RE it can effectively be used to analyse the capability of a
sociotechnical system to deal with disturbances and performance
variability. We present an RE cycle, which uses qualitative and
quantitative ABMS phases for analysis of the adaptive capacity of a
sociotechnical system. The focus in this paper is on the qualitative
ABMS phase, including the development of a qualitative model and mental
simulation using the qualitative model. The model development is
supported by a set of model constructs, which represent key aspects of
evolUtion of agents' states and agents' interactions. The mental
simulations use reasoning on the basis of the qualitative model to
structurally analyse the interactions and dynamics of the performance in
the agent-based model. Results of the qualitative ABMS phase can be used
to improve the resilience of operations or they may be followed by
quantitative ABMS. The approach is presented in detail for aircraft
runway approach operations using conventional systems and an advanced
aircraft surveillance application system. (C) 2016 Elsevier Ltd. All
rights reserved.
Tags
Agent-based modelling and simulation
resilience
systems
Safety
Air traffic
Qualitative model
Mental simulation