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Quantification of rail signaller demand through simulation

Lookup NU author(s): Dr David GolightlyORCiD


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© Springer International Publishing AG 2017. 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.

Publication metadata

Author(s): Delamare L, Golightly D, Goswell G, Treble P

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: H-WORKLOAD 2017 : International Symposium on Human Mental Workload: Models and Applications

Year of Conference: 2017

Pages: 174-186

Online publication date: 04/06/2017

Acceptance date: 02/04/2016

ISSN: 1865-0929

Publisher: Springer Verlag


DOI: 10.1007/978-3-319-61061-0_11

Library holdings: Search Newcastle University Library for this item

Series Title: Communications in Computer and Information Science

ISBN: 9783319610603