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Investigations into the skills of modern and traditional train driving

journal contribution
posted on 06.12.2017, 00:00 authored by Anjum NaweedAnjum Naweed
Rail operations are housed inside a complex and extremely dynamic system where work is distributed in time and space. The train driver has traditionally relied on their own decisions, plans, and actions to navigate the rail environment, but the use of modern driver systems that force how these activities are regulated has altered this dynamic. This paper reports the findings of a study that set out to investigate the skills of modern (enhanced display-based) and traditional (real world) train driving. Data were collected from a variety of UK domain experts (n = 45) using an innovative methodology that converged multiple techniques for knowledge elicitation and analysis. The findings are represented in a model of dynamic train control and discussed according to the specific features and nature of tracking skill in the rail domain. The utility of the model is demonstrated through work of its application to the design of a train simulator and research tool for systematic study of rail human factor issues.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Volume

15

Issue

3

Start Page

462

End Page

470

Number of Pages

9

ISSN

0003-6870

Location

United Kingdom

Publisher

Elsevier

Language

en-aus

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Appleton Institute for Behavioural Sciences; Institute for Health and Social Science Research (IHSSR); University of Sheffield;

Era Eligible

Yes

Journal

Applied ergonomics : human factors in technology and society.