Assisting the older driver - SWOV
Assisting the older driver - SWOV
Assisting the older driver - SWOV
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
<strong>Assisting</strong> <strong>the</strong> <strong>older</strong> <strong>driver</strong><br />
However, intersections were expected to be exchangeable as long as <strong>the</strong>y<br />
were identical according to <strong>the</strong> intersection characteristic being studied.<br />
Between‐subjects analysis of variance showed that functional age did not<br />
affect <strong>the</strong> average deceleration of relevant vehicles (i.e., those having right of<br />
way) at <strong>the</strong> moment participants started passing an intersection (Acc_Pre).<br />
The proportion of unsafe decisions per intersection type (Acc_Crit) was not<br />
affected by functional age ei<strong>the</strong>r (see Table 6.6). Separate mixed betweenwithin<br />
analyses of variance for <strong>the</strong> various intersection characteristics led to<br />
<strong>the</strong> same conclusion: age did not affect <strong>the</strong> safety of <strong>driver</strong> decisions.<br />
However, <strong>the</strong> various intersection characteristics did influence <strong>the</strong> degree of<br />
deceleration and <strong>the</strong> proportion of unsafe decisions (see Table 6.6). The only<br />
exception was sight distance. This intersection characteristic did not affect <strong>the</strong><br />
average deceleration of relevant vehicles at <strong>the</strong> moment <strong>the</strong> participant drove<br />
off with <strong>the</strong> intention to pass <strong>the</strong> intersection, although it did affect <strong>the</strong><br />
proportion of unsafe decisions (η 2 = 0.260). All o<strong>the</strong>r intersection<br />
characteristics had partial eta’s squared ranging from 0.329 to 0.452 for<br />
deceleration values and ranging from 0.538 to 0.623 for proportion of unsafe<br />
decisions. The combination of intersection characteristics and necessary<br />
manoeuvres (IM) had <strong>the</strong> largest influence on variation in both proportion of<br />
unsafe decisions and deceleration of relevant vehicles. Post hoc Bonferroni<br />
tests showed that almost all types of intersections had significantly different<br />
proportions of unsafe decisions. Only IM2, IM6 and IM8 had similar<br />
proportions of unsafe decisions, and IM3 and IM5. The trends were,<br />
however, different from <strong>the</strong> ones expected beforehand. Three intersection<br />
types that were expected to be of medium difficulty (IM3 to IM5) turned out<br />
to be <strong>the</strong> ones that most often led to unsafe decisions. The intersections that<br />
were expected to be <strong>the</strong> most difficult (IM6 to IM8) only seldom led to unsafe<br />
decisions (see Figure 6.5).<br />
This lack of correspondence between expected difficulty and safety of <strong>driver</strong><br />
decisions could have been <strong>the</strong> result of an intersection classification that does<br />
not reflect <strong>the</strong> actual difficulty of passing <strong>the</strong> respective types of<br />
intersections. After all, analyses of workload data already showed that <strong>the</strong><br />
results of post hoc Bonferroni tests for <strong>the</strong> combined intersection and<br />
manoeuvre characteristics did not correspond with <strong>the</strong> expected order of<br />
easy and difficult intersections (see Section 6.3.2). However, when comparing<br />
<strong>the</strong> proportions of unsafe decisions for intersections classified according to<br />
an intersection characteristic that turned out to be a better predictor of task<br />
difficulty (i.e., intersection layout) <strong>the</strong> same pattern emerged (see Figure 6.6).<br />
124