Abstract
Demand factors are understood to play a substantial role in the experience of workload in rail signalling operations. Quantifying these demand parameters in signalling operations can inform both decisions about operational practice as well as technology design. To date, however, tools to estimate demand have either relied on assessor judgement of static or aggregated parameters, can be time-consuming to produce, and challenging when a workstation is changing or being developed. In order to anticipate the evolution of railway signalling, the Dynamic Modelling of Operator Demand (D-MOD) tool uses signalling simulation to derive accurate demand parameter measurements. This paper presents the architecture and design of the D-MOD platform, as well as the types of parameters that have been identified and quantified. Different categories of parameter, including static, dynamic and performance parameters have been captured and validated. Future directions for the tool are discussed.
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Acknowledgement
Thank you to all Human Factors consultants, Network Rail, RSSB for their attendance to our Human Factors signalling working group. This project is co-founded by Innovate UK and EPSRC as part of the Knowledge Transfer Partnership programme.
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Delamare, L., Golightly, D., Goswell, G., Treble, P. (2017). Quantification of Rail Signaller Demand Through Simulation. In: Longo, L., Leva, M. (eds) Human Mental Workload: Models and Applications. H-WORKLOAD 2017. Communications in Computer and Information Science, vol 726. Springer, Cham. https://doi.org/10.1007/978-3-319-61061-0_11
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DOI: https://doi.org/10.1007/978-3-319-61061-0_11
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