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 [1], dynamometric measurement [2], deceleration [3], and linear regression [4]. Recently, a new approach that couples 3D digitization and computational has been investigated [5-8].