Hazard anticipation of young novice drivers - SWOV
Hazard anticipation of young novice drivers - SWOV
Hazard anticipation of young novice drivers - SWOV
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
oriented and the vertical axis is taxonomic vs. functional. Only the functional<br />
models are relevant in relation to hazard <strong>anticipation</strong> because functional<br />
models try to explain driver behaviour (Ranney, 1994). Behavioural oriented<br />
models that are functional are the information processing models. The in<br />
Section 3.2 mentioned model <strong>of</strong> situation awareness (Endsley, 1995), is an<br />
example <strong>of</strong> an information processing model. Perception, comprehension<br />
and projection are three different levels <strong>of</strong> information processing in<br />
situation awareness. Information processing models are typically<br />
represented as a sequence <strong>of</strong> stages such as; perception, recognition,<br />
prediction, decision, response selection and task execution. Usually, a<br />
distinction is made between automatic processing <strong>of</strong> information and<br />
controlled processing <strong>of</strong> information. Automatic processing <strong>of</strong> information<br />
hardly requires conscious attention, whereas controlled processing <strong>of</strong><br />
information requires conscious attention. Information processing models try<br />
to explain (maximal) driver performance (what a driver can do).<br />
Psychologically oriented models that are functional are the motivational<br />
models. These models are based on the assumption that driving is largely a<br />
self-paced task. Within certain limits, <strong>drivers</strong> are free to choose their speed,<br />
their route (e.g. to reach their destination they can take the route with the<br />
many intersections, but they can also take the slightly longer route with only<br />
a few intersections) and to carry out certain manoeuvres or not (e.g. overtake<br />
another car or not). Because the driving task is largely self-paced, <strong>drivers</strong><br />
themselves chose the amount <strong>of</strong> risk they are willing to take. In all<br />
motivational models, risk is not a calculated risk <strong>of</strong> the driver, but a feeling <strong>of</strong><br />
risk. Besides motivational models based on risk or threat (e.g. Fuller, 1984;<br />
Näätänen & Summala, 1974; Wilde, 1982), motivational models have been<br />
proposed that are based on task difficulty (Fuller, 2000, 2001, 2007a), pleasure<br />
(Rothengatter, 1988), discomfort (Summala, 2007) and best feelings (Vaa,<br />
2007). In contrast to the information processing models, motivational models<br />
are especially made to explain driver behaviour (what a driver actually<br />
does).<br />
In the following sections one recent information-processing model, one<br />
recent motivational model and a somewhat older mixed model are discussed<br />
in more detail in relation to hazard <strong>anticipation</strong>.<br />
3.3.1. Model <strong>of</strong> information processing in driving and the role <strong>of</strong><br />
expectancy<br />
Houtenbos (2008) has developed a model about the interaction <strong>of</strong> a driver<br />
with other road users. This model is derived from the theory <strong>of</strong> situation<br />
awareness (Endsley, 1995) and from more general information processing<br />
80