Abstract

The running time as parameter for the performance in alpine ski racing is influenced by many factors. In the past they were mainly investigated in isolated and strong restricted situations. For example the trajectory of the skier was simplified as a curve with a fixed radius or the profile of the slope was reduced to an inclined plane with a constant angle. Only a few investigations exist dealing with the issue of optimal trajectories in alpine skiing. All these studies focus only on one single part of the complex system of skier-ski-slope-trajectory. The reciprocal influence of these factors, however, is of decisive importance. Thus an accurate evaluation of the running time is only possible, if various influencing factors are regarded simultaneously. So the aim of the present study was to develop a model that enables the simulation of the complex process of alpine skiing and based on that model the implementation of genetic algorithms to find a nearly optimal trajectory. Einleitung (gekürzt)