
doi: 10.17815/cd.2024.166
Based on video analysis of downhill skiing areas a model for ski traffic is developed. The video analysis uses PeTrack to determine the trajectories of individual skiers which are then statistically analysed. A stochastic cellular automaton model is proposed that can reproduce the basic observed features. The empirical data are used for validation and calibration of the model. In the future, the model may help to analyse comfort and safety on skiing slopes, especially the risk of collisions.
Cellular automata, Self-driven particles, Pedestrian trajectories, Model calibration
Cellular automata, Self-driven particles, Pedestrian trajectories, Model calibration
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