Human error taxonomies applied to driving: A generic driver error taxonomy and its implications for intelligent transport systems
Stanton, Neville A. and Salmon, Paul M. (2009) Human error taxonomies applied to driving: A generic driver error taxonomy and its implications for intelligent transport systems. Safety Science, 47, (2), 227-237. (doi:10.1016/j.ssci.2008.03.006).
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Recent research indicates that driver error contributes to up to 75% of all roadway crashes. Despite this, only relatively little is currently known about the types of errors that drivers make and of the causal factors that contribute to these errors being made. This article presents an overview of the literature on human error in road transport. In particular, the work of three pioneers of human error research, Norman, Reason and Rasmussen, is scrutinised. An overview of the research on driver error follows, to consider the different types of errors that drivers make. It was found that all but one of these does not use a human error taxonomy. A generic driver error taxonomy is therefore proposed based upon the dominant psychological mechanisms thought to be involved. These mechanisms are: perception, attention, situation assessment, planning, and intention, memory and recall, and action execution. In addition, a taxonomy of road transport error causing factors, derived from the review of the driver error literature, is also presented. In conclusion to this article, a range of potential technological solutions that could be used to either prevent, or mitigate, the consequences of the driver errors identified are specified.
|Digital Object Identifier (DOI):||doi:10.1016/j.ssci.2008.03.006|
|Keywords:||human error, driver error, in-car technology, error taxonomy|
T Technology > TA Engineering (General). Civil engineering (General)
|Divisions :||University Structure - Pre August 2011 > School of Civil Engineering and the Environment
|Accepted Date and Publication Date:||
|Date Deposited:||11 Mar 2010|
|Last Modified:||31 Mar 2016 13:07|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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