Assessment of bike handling during cycling individual time trials with a novel analytical technique adapted from motorcycle racing
Authors
Andrea Zignoli
Francesco Biral
Alessandro Fornasiero
Dajo Sanders
Teun Van Erp
Manuel Mateo-March
Federico Y. Fontana
Paolo Artuso
Paolo Menaspà, Edith Cowan UniversityFollow
Marc Quod
Andrea Giorgi
Paul B. Laursen
Document Type
Journal Article
Publication Title
European Journal of Sport Science
Publisher
Taylor & Francis
School
School of Medical and Health Sciences
RAS ID
38791
Abstract
A methodology to study bike handling of cyclists during individual time trials (ITT) is presented. Lateral and longitudinal accelerations were estimated from GPS data of professional cyclists (n = 53) racing in two ITT of different length and technical content. Acceleration points were plotted on a plot (g-g diagram) and they were enclosed in an ellipse. A correlation analysis was conducted between the area of the ellipse and the final ITT ranking. It was hypothesised that a larger area was associated with a better performance. An analytical model for the bike-cyclist system dynamics was used to conduct a parametric analysis on the influence of riding position on the shape of the g-g diagram. A moderate (n = 27, r = −0.40, p = 0.038) and a very large (n = 26, r = −0.83, p < 0.0001) association were found between the area of the enclosing ellipse and the final ranking in the two ITT. Interestingly, this association was larger in the shorter race with higher technical content. The analytical model suggested that maximal decelerations are highly influenced by the cycling position, road slope and speed. This investigation, for the first time, explores a novel methodology that can provide insights into bike handling, a large unexplored area of cycling performance.
DOI
10.1080/17461391.2021.1966517
Access Rights
subscription content
Comments
Zignoli, A., Biral, F., Fornasiero, A., Sanders, D., Erp, T. V., Mateo-March, M., . . . Laursen, P. B. (2022). Assessment of bike handling during cycling individual time trials with a novel analytical technique adapted from motorcycle racing. European Journal of Sport Science, 22(9), 1355-1363.
https://doi.org/10.1080/17461391.2021.1966517