Developing MBSE techniques for incorporating workload and situation awareness assessments in heavy rail technology transformation

RIS ID

144724

Publication Details

Shirvani, F., Scott, W., Kennedy, G. & Campbell, P. (2020). Developing MBSE techniques for incorporating workload and situation awareness assessments in heavy rail technology transformation. SETE 2020: Systems Engineering Test and Evaluation Conference 2020 (pp. 138-152). Barton, Australia: Engineers Australia.

Abstract

Heavy rail systems are under ongoing changes resulting from the introduction of new technologies which affects how people interact with future systems. The University of Wollongong (UOW) has been examining how Model-Based Systems Engineering (MBSE) can be applied to create a framework to integrate information around a new technology's introduction and enable improved analyses based on a common operational concept of how the technology would be utilised. This operational analysis allows for understanding the changes in requirements regarding situational awareness and workload and assuring the preparedness of operators for meeting those requirements. This includes evaluation of their effectiveness based on the Human Machine Interface (HMI) mechanisms available and the processes utilised to provide the operational information. The workload can also be analysed to gain an appreciation of how operators will fare when utilising the system. Workloads that are either excessive or minimal can lead to fatigue or inattentiveness thereby impacting the operation of the system. Both workload and situational awareness analysis are based on the tasks being undertaken, so they both utilise the same single set of tasks identified in the operational conceps, , thereby providing consistency between the data sets.

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