Investigating Human Error Within GoA-2 Metro Lines

Josh Hunter; John Alexander McDermid

doi:10.1007/978-3-031-05814-1_13

Investigating Human Error Within GoA-2 Metro Lines

Josh Hunter, John Alexander McDermid

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The rail industry is progressing towards higher levels of automation and autonomy. Other industries, e.g. aviation, have discovered ‘ironies of automation’ where the reduction in workload actually contributes to unsafe events. The rail industry will not be immune from such issues as reductions in the complexity of workload often leads to work becoming mundane and routine. Further, without the need to be constantly reacting to their surroundings, drivers are ill-equipped to break the monotony to address anomalies which can lead to accidents. Such problems can arise in the transition from GoA-1 to GoA-2 and should lead to a rethink of system design, not to place blame on drivers. However, this redesign needs to consider both human workload and the system itself. The paper is a preliminary analysis of the challenges of increasing automation and identifies potential solutions such as reworking the transition by increasing the workload placed upon the driver within GoA-2 systems, increasing stress but decreasing monotony by making work non-routine and thus retaining driver attention. This is a positive trade-off and may be the cheapest and most effective solution, that isn’t simply the transition to GoA-3.

Original language	English
Title of host publication	Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification. RSSRail 2022
Editors	S Collart-Dutilleul, A E Haxthausen, T Lecomte
Publisher	Springer
Pages	179-191
Number of pages	18
Volume	13294
ISBN (Electronic)	9783031058141
ISBN (Print)	9783031058134
DOIs	https://doi.org/10.1007/978-3-031-05814-1_13
Publication status	E-pub ahead of print - 20 May 2022

Publication series

Name	Lecture Notes in Computer Science

Bibliographical note

© 2022 Springer Nature Switzerland AG. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details

Access to Document

10.1007/978-3-031-05814-1_13

Hunter-McDermid2022_Chapter_InvestigatingHumanErrorWithinG
© 2022 Springer Nature Switzerland AG. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
Accepted author manuscript, 1.64 MB

Cite this

Hunter, J., & McDermid, J. A. (2022). Investigating Human Error Within GoA-2 Metro Lines. In S. Collart-Dutilleul, A. E. Haxthausen, & T. Lecomte (Eds.), Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification. RSSRail 2022 (Vol. 13294, pp. 179-191). (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/978-3-031-05814-1_13

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Hunter, J & McDermid, JA 2022, Investigating Human Error Within GoA-2 Metro Lines. in S Collart-Dutilleul, AE Haxthausen & T Lecomte (eds), Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification. RSSRail 2022. vol. 13294, Lecture Notes in Computer Science, Springer, pp. 179-191. https://doi.org/10.1007/978-3-031-05814-1_13

Investigating Human Error Within GoA-2 Metro Lines. / Hunter, Josh; McDermid, John Alexander.
Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification. RSSRail 2022. ed. / S Collart-Dutilleul; A E Haxthausen; T Lecomte. Vol. 13294 Springer, 2022. p. 179-191 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Hunter J, McDermid JA. Investigating Human Error Within GoA-2 Metro Lines. In Collart-Dutilleul S, Haxthausen AE, Lecomte T, editors, Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification. RSSRail 2022. Vol. 13294. Springer. 2022. p. 179-191. (Lecture Notes in Computer Science). Epub 2022 May 20. doi: 10.1007/978-3-031-05814-1_13