Competitive and Sustainable Growth

Table 1 The GADGET-matrix (Hatakka et al. 1999) Table 2 Scenarios for level 1, Vehicle manoeuvring Table 3 Scenarios for level 2, Mastering traffic situations Table 4 Scenarios for level 3, Goals and context of driving Table 5 Scenarios for level 4, Goals for life and skills for living Table 6 Combination of three levels of driver performance and three levels of driving tasks Table 7 Suggestions for different aspects of driver performance, to be assessed by the pilots Table 8 Suggestions for different aspects of driver behaviour, to be assessed by the simulator pilots Figure 1 Design of the evaluation of the training tools Figure 2 A model of driver information processing adopted from Lansdown (1996) Most of the characteristics of young novice drivers that contribute to the high probability of being involved in an accident stem from two crucial factors that are difficult to separate; experience and age. Young drivers' accidents are typically single vehicle accidents and are often preceded by risky driving. Young drivers are not over-represented in alcohol accidents. In comparison with older drivers they are even under-represented. Exception to these findings is the weekend-nights in which the young drivers tend to be over-represented. Young drivers are often characterised by driving too fast for prevailing conditions. This may also account for the high proportion of accidents in curves, and single accidents. Young drivers are more often involved in the more serious accidents, partly because of the presence of many passengers. Furthermore young drivers drive more often with inappropriate speeds. Speed is directly related to the seriousness of the accident. Various sources in the literature emphasise the fact that learning manoeuvring skills does not contribute to safe driving and reducing accident rates of novice drivers. There is evidence that young drivers can have superior vehicle handling skills and still have many crashes. It is suggested that teaching safe driving strategies and training recognition of hazards and of higher order skills will be promising in reaching the aim of lower accident rates with novice drivers. The GADGET-matrix is based on the assumption that the driving task may be described as an hierarchy. The idea of the hierarchical approach is that abilities and preconditions in a higher level influence the demand and preconditions on a lower level. The hierarchy is developed by Keskinen and shows many similarities with the Michon hierarchy. The most important difference is the addition of …