Improving Tour de France modeling with allometric scaling
(Verbesserung der Modellierung der Tour de France mittels allometrischer Skalierung)
We describe improvements we have made to the model our research group employs to predict stage-winning times of the Tour de France. Accounting for different stage-winning cyclist masses associated with different stage types, we use allometric scaling to modify our model`s cyclist power output. We show definitively that such a change to our model improved our prediction capabilities over what we were able to predict using the model we employed for the 2013 Tour de France. Excluding three tailwind-dominated stages, where our worst error was 7.79%, we predicted all other stages to better than 5%, including five stages that we predicted to better than 1%. We also show how to improve our model further with a different type of scaling.
Artikel auf ResearchGate:
https://www.researchgate.net/publication/273186939_Improving_Tour_de_France_modeling_with_allometric_scaling
© Copyright 2015 Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology. SAGE Publications. Alle Rechte vorbehalten.
Schlagworte: | Radsport Modellierung Strecke Gelände Wetter Aerodynamik Computer Biomechanik |
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Notationen: | Naturwissenschaften und Technik Ausdauersportarten Organisationen und Veranstaltungen |
Tagging: | Tour de France Allometrie allometrische Skalierung |
DOI: | 10.1177/1754337114565384 |
Veröffentlicht in: | Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology |
Veröffentlicht: |
2015
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Jahrgang: | 229 |
Heft: | 3 |
Seiten: | 183-191 |
Dokumentenarten: | Artikel |
Sprache: | Englisch |
Level: | hoch |