Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/1431
Title: Analysing and modelling train driver performance
Authors: McLeod, RW
Walker, GH
Moray, N
Mills, A
Keywords: Train driver performance;Automatic warning system;Models of human performance;human reliability
Issue Date: 2005
Publisher: Elsevier
Citation: Applied Ergonomics. 36(6): 671-680
Abstract: Arguments for the importance of contextual factors in understanding human performance have been made extremely persuasive in the context of the process control industries. This paper puts these arguments into the context of the train driving task, drawing on an extensive analysis of driver performance with the Automatic Warning System (AWS). The paper summarises a number of constructs from applied psychological research which are thought to be important in understanding train driver performance. A “Situational Model” is offered as a framework for investigating driver performance. The model emphasises the importance of understanding the state of driver cognition at a specific time (“Now”) in a specific situation and a specific context.
URI: http://bura.brunel.ac.uk/handle/2438/1431
http://www.sciencedirect.com/science/article/pii/S0003687005000931
DOI: http://dx.doi.org/10.1016/j.apergo.2005.05.006
Appears in Collections:Ergonomics
Dept of Design Research Papers

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