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 />
6.4. Discussion and conclusions<br />
The aim of this study was to identify those intersection characteristics that<br />
have <strong>the</strong> largest impact on <strong>the</strong> difficulty of passing intersections, as indicated<br />
by <strong>driver</strong> workload and safety of <strong>driver</strong> decisions. A distinction was made<br />
between <strong>the</strong> performance of functionally young and functionally <strong>older</strong><br />
<strong>driver</strong>s. The latter group of <strong>driver</strong>s was expected to have more difficulties<br />
passing complex intersections than <strong>the</strong> younger group. The complexity of an<br />
intersection was expected to increase with <strong>the</strong> number of streets and lanes it<br />
connects, and to be dependent on <strong>the</strong> type of priority regulation and <strong>the</strong><br />
participants’ view of <strong>the</strong> intersection.<br />
6.4.1. Intersection characteristics<br />
The results of this study showed that intersection layout, priority regulation,<br />
as well as <strong>driver</strong> manoeuvres influenced <strong>the</strong> difficulty of passing<br />
intersections. Intersection layout was <strong>the</strong> best predictor of variations in<br />
workload. Three‐way intersections that only had a side‐street at <strong>the</strong> left‐hand<br />
side of <strong>the</strong> <strong>driver</strong> turned out to be <strong>the</strong> easiest intersections to pass, whereas<br />
four‐way intersections with dual carriageways were <strong>the</strong> most difficult to<br />
manage. The abovementioned characteristics had <strong>the</strong> same effect on <strong>the</strong><br />
workload of functionally young and functionally old participants.<br />
Functionally old participants had longer reaction times than functionally<br />
young participants, and an increase in <strong>the</strong> complexity of <strong>the</strong> intersections to<br />
pass led to longer reaction times for both functionally old and functionally<br />
young <strong>driver</strong>s. However, <strong>the</strong> difference between <strong>the</strong> reaction times of <strong>the</strong>se<br />
age groups stayed <strong>the</strong> same (see Section 6.4.2).<br />
The participants’ view of <strong>the</strong> intersection did not affect workload as<br />
indicated by reaction times on a secondary task. However, this intersection<br />
characteristic did affect ano<strong>the</strong>r indicator of secondary task performance,<br />
fraction missed. If buildings or trees obstructed <strong>the</strong> <strong>driver</strong>s’ view of <strong>the</strong><br />
intersection, <strong>driver</strong>s reacted to more stimuli than when <strong>the</strong>ir view of <strong>the</strong><br />
intersection was not restricted. This may indicate that it is more difficult to<br />
pass intersections of which <strong>driver</strong>s have a good view while approaching it<br />
than it is to pass intersections at which buildings and/or trees obstruct <strong>the</strong><br />
<strong>driver</strong>s’ view of <strong>the</strong> intersection. However, as <strong>the</strong> participants’ view of <strong>the</strong><br />
intersection only affected fraction missed and not reaction time, <strong>the</strong> higher<br />
fractions missed which were found for intersections that were better visible<br />
may also have been <strong>the</strong> result of a larger amount of visual information.<br />
Having <strong>the</strong> opportunity to also look at cars and signs that are situated at <strong>the</strong><br />
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