Affiliation:
1. Department of Physics, Lynchburg College, Lynchburg, VA, USA
Abstract
We present comparisons between our predicted stage-winning times and actual stage-winning times for the 2012 and 2013 Tour de France races. The former race represented our last use of a decade-old discrete power and drag area models; the continuous power and drag area models used for the latter race represent significant changes in our modeling. Although our new model worked well when applied to the 2012 Tour de France, it did not fare so well in 2013, especially during the second week of the race when speeds were quite high.
Cited by
3 articles.
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1. Using the 2011-16 Tours de France to refine prediction model and elicit racing strategies;Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology;2017-07-20
2. Tour de France Modeling: 2015 Results and Comparisons with Elite Cyclist Power Data;Procedia Engineering;2016
3. Improving Tour de France modeling with allometric scaling;Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology;2015-01-05