First evaluation of an automated system for cyclist’s aerodynamic drag assessment
Context: When riding on a flat road at high speed, the major part of the resistive forces experienced by a cyclist is due to aerodynamic drag. Reducing this drag is thus a key challenge for improving cycling performance. To do so it must be adequately quantified. In this regard, different methods have been proposed in literature: wind tunnel , dynamometric measurement , deceleration , and linear regression . Recently, a new approach that couples 3D digitization and computational has been investigated [5-8].
How to Cite
Copyright (c) 2020 Journal of Science and Cycling
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors contributing to Journal of Science and Cycling agree to publish their articles under a Creative Commons CC BY-NC-ND license, allowing third parties to copy and redistribute the material in any medium or format, and to remix, transform, and build upon the material, for any purpose, even commercially, under the condition that appropriate credit is given, that a link to the license is provided, and that you indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
Authors retain copyright of their work, with first publication rights granted to Cycling Research Center.