Assisting the older driver - SWOV
Assisting the older driver - SWOV
Assisting the older driver - SWOV
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<strong>Assisting</strong> <strong>the</strong> <strong>older</strong> <strong>driver</strong><br />
To identify characteristics of intersections that coincide with a higher<br />
frequency of crashes involving <strong>older</strong> <strong>driver</strong>s, two types of intersections were<br />
compared: (1) intersections at which relatively many crashes occurred<br />
involving <strong>older</strong> <strong>driver</strong>s, and (2) intersections at which no crashes occurred<br />
involving <strong>older</strong> <strong>driver</strong>s. The comparison of <strong>the</strong>se intersections and <strong>the</strong>ir<br />
characteristics was directed by expectations regarding <strong>the</strong> factors that<br />
determine <strong>the</strong> difficulty of passing an intersection. Based on <strong>the</strong> literature on<br />
task difficulty, information processing, and ageing and driving (e.g., Fuller,<br />
2000, 2001; Hendy, East & Farrell, 2001; Brouwer, 2002b), it was expected that<br />
for <strong>older</strong> <strong>driver</strong>s <strong>the</strong> difficulty of passing an intersection (i.e., crossing or<br />
turning left or right at it), and hence <strong>the</strong> likelihood of a crash, is determined<br />
by a combination of 1) <strong>the</strong> complexity of <strong>the</strong> traffic situation, 2) whe<strong>the</strong>r or not<br />
<strong>the</strong> <strong>driver</strong> has to take a decision with regard to road users that are about to<br />
cross his path (e.g., type of intersection, priority regulation or traffic lights<br />
that guarantee a protected left‐turn), and 3) <strong>the</strong> availability of a proper mental<br />
schema. Given <strong>the</strong> capabilities of <strong>the</strong> <strong>older</strong> <strong>driver</strong>, <strong>the</strong> task of passing an<br />
intersection was only expected to be difficult if <strong>the</strong> traffic situation is<br />
complex and <strong>the</strong> <strong>driver</strong> has to decide on how to deal with traffic that is about<br />
to cross his path and <strong>the</strong> <strong>driver</strong> cannot bring his experience (and schemata) to<br />
<strong>the</strong> job. The complexity of a traffic situation was expected to increase with 1)<br />
<strong>the</strong> amount of information that has to be processed (e.g., number of lanes and<br />
traffic signs, presence of pedestrian crossings), 2) a reduction of <strong>the</strong> quality of<br />
<strong>the</strong> information (e.g., visibility of signs and pavement markings), and 3) <strong>the</strong><br />
presence of time pressure (e.g., presence of trees, houses or cars that block <strong>the</strong><br />
view of <strong>the</strong> intersection and reduce <strong>the</strong> time left to anticipate on what is<br />
coming). The complexity of <strong>the</strong> traffic situation is <strong>the</strong> factor that was<br />
expected to be <strong>the</strong> most sensitive to <strong>the</strong> age of <strong>the</strong> <strong>driver</strong>. Complex situations<br />
put a severe strain on <strong>the</strong> sensory, perceptual and cognitive capacities of <strong>the</strong><br />
<strong>driver</strong>, and <strong>the</strong>se capacities are often reduced in <strong>the</strong> <strong>older</strong> age group (see e.g.,<br />
Brouwer & Ponds, 1994; Fisk & Rogers, 1997). For younger <strong>driver</strong>s, o<strong>the</strong>r<br />
factors were expected to play a role in <strong>the</strong> likelihood of crashes, such as<br />
whe<strong>the</strong>r or not <strong>the</strong> road layout offers <strong>driver</strong>s <strong>the</strong> opportunity to speed, and<br />
<strong>the</strong> type of factors which Fuller classified under <strong>the</strong> heading of human<br />
factors, such as emotions, alcohol and o<strong>the</strong>r drugs, stress, and distraction (see<br />
Section 4.2.1).<br />
Based on <strong>the</strong> abovementioned expectations, it was expected that a higher<br />
crash involvement of <strong>older</strong> <strong>driver</strong>s would be connected with: a) a larger<br />
amount and/or poorer quality of traffic‐related information (complexity), b) a<br />
larger number of decisions to be made by <strong>the</strong> <strong>driver</strong> (decision), and c) larger<br />
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