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Citation |
Hamilton WI, Clarke T. Appl. Ergon. 2005; 36(6): 661-670. |
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Affiliation |
Human Engineering Limited, Shore House, 68 Westbury Hill, Bristol BS9 3AA, UK. |
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Copyright |
(Copyright © 2005, Elsevier Publishing) |
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DOI |
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PMID |
16182232 |
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Abstract |
This paper reports on the development and main features of a model of driver information processing. The work was conducted on behalf of Network Rail to meet a requirement to understand and manage the driver's interaction with the infrastructure through lineside reminder appliances. The model utilises cognitive theory and modelling techniques to describe driver performance in relation to infrastructure features and operational conditions. The model is capable of predicting the performance time, workload and error consequences of different operational conditions. The utility of the model is demonstrated through reports of its application to the following studies: The paper also reports on a validation of the model's utility as a tool for assessing cab and infrastructure drivability. |