ABSTRACT
Advances in research methods for investigating driver behaviour, in particular instrumented on-road test vehicles, now allow more accurate and unobtrusive collection of objective, real-time data about driving errors. This creates exciting new possibilities for the nature, causes and outcomes of errors to be interrogated, and in far more detail than is possible via conventional approaches. Whilst this powerful new capability grants a unique opportunity, there are challenges. The aim of this chapter is twofold: first, to present and demonstrate a novel multimethod framework of human factors methods for studying driving errors on-road; and, second, to present the findings derived from an on-road study of everyday driver errors utilising the multi-method framework.
