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Assisting the older driver - SWOV

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Effects of intersection design on workload and driving performance<br />

road position or trajectory, by communicating with o<strong>the</strong>r <strong>driver</strong>s, or – at an<br />

earlier stage – by choosing an easier route or better driving conditions (e.g.,<br />

clear wea<strong>the</strong>r, daytime). Apart from <strong>the</strong> (<strong>older</strong>) <strong>driver</strong>, o<strong>the</strong>r road users can<br />

take compensatory actions as well, such as getting out of <strong>the</strong> way, <strong>the</strong>reby<br />

avoiding a collision. A third way of reducing <strong>the</strong> chance that collisions will<br />

occur is by lowering task demands through an adjusted design of <strong>the</strong><br />

infrastructure and/or vehicle adjustments and technologies. The present<br />

study evaluates <strong>the</strong> possibilities of lowering task demands through<br />

adjustments to <strong>the</strong> design of intersections. A related study discusses <strong>the</strong><br />

merits of in‐car <strong>driver</strong> assistance systems (Davidse, Van Wolffelaar,<br />

Hagenzieker & Brouwer, 2007; see also Davidse, 2006).<br />

Using literature on task difficulty, information processing, ageing and<br />

driving (e.g., Fuller, 2000, 2001; Hendy, East & Farrell, 2001; Brouwer, 2002b),<br />

Davidse (2007) has attempted to describe <strong>the</strong> task difficulty of passing<br />

intersections. That is, crossing or turning left or right at <strong>the</strong>m. She expects<br />

that <strong>the</strong> difficulty of passing an intersection is a combination of 1) <strong>the</strong><br />

complexity of <strong>the</strong> traffic situation, 2) <strong>the</strong> availability of a proper mental schema,<br />

and 3) whe<strong>the</strong>r or not <strong>the</strong> <strong>driver</strong> has to take a decision with regard to road<br />

users that are about to cross his path (e.g., side‐street or not, priority<br />

regulation or traffic lights that guarantee a protected left‐turn). More<br />

specifically, she expects that <strong>the</strong> task of passing an intersection will only be<br />

difficult if <strong>the</strong> traffic situation is complex and <strong>the</strong> <strong>driver</strong> cannot bring his<br />

experience (and schemata) to <strong>the</strong> job and <strong>the</strong> <strong>driver</strong> has to decide on how to<br />

deal with traffic that is about to cross his path.<br />

Davidse (2007) also defined <strong>the</strong> complexity of a traffic situation. She expects<br />

complexity to increase with 1) <strong>the</strong> amount of information that has to be<br />

processed (e.g., number of lanes and traffic signs, presence of pedestrian<br />

crossings), 2) a reduction of <strong>the</strong> quality of <strong>the</strong> information (e.g., visibility of<br />

signs and pavement markings), and 3) <strong>the</strong> presence of time pressure (e.g.,<br />

presence of trees, houses or cars that block <strong>the</strong> view of <strong>the</strong> intersection and<br />

reduce <strong>the</strong> time left to anticipate on what is coming). As such, complex<br />

situations put a severe strain on <strong>the</strong> sensory, perceptual and cognitive<br />

capacities of <strong>the</strong> <strong>driver</strong>. These capacities are often reduced in <strong>the</strong> <strong>older</strong> age<br />

group (see e.g., Brouwer & Ponds, 1994; Fisk & Rogers, 1997). Examples are<br />

decreased divided and selective attention, reduced contrast sensitivity, and<br />

reduced speed of information processing. As a result of <strong>the</strong>se functional<br />

limitations, <strong>the</strong> complexity factor may play a more important role in <strong>the</strong> task<br />

difficulty of passing intersections by <strong>older</strong> <strong>driver</strong>s than it will in <strong>the</strong> task<br />

103

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