Equations of motion of a track cyclist: Active particle dynamics under strong geometric constraints

Using in situ measurements from the 2022 World Championships, we derive the equations of motion for a track cyclist as a coupled bicycle-rider-track system. A key observation is that instantaneous pedal power does not map directly onto bicycle speed because elastic compliance within the bicycle-rider assembly stores and releases energy over the crank cycle, introducing a phase lag between input power and translational motion. To resolve this, we develop a phase-averaging framework over the pedaling period that yields an effective, stiff dynamical system driven by cycle-averaged power. The resulting reduced model predicts the evolution of speed without requiring high-frequency pedal-level inputs. A central feature is the geometric coupling between rider dynamics and velodrome shape: the equations link wheel-frame velocity to the center-of-mass velocity through the local track curvature, accounting for banking and radius variations along the lap. Applied to competition data, the framework reproduces the measured speed evolution across straights and turns. Beyond track cycling, the phase-average method provides a general route to modeling propulsion in compliant, cyclic systems where input power is periodic but motion is governed by averaged dynamics.

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Publication Details

Journal
Physical review. E
Published
2025-09-12
DOI
https://doi.org/10.1103/vm6w-d487
Citations
1
Primary Topic
Winter Sports Injuries and Performance
Type
article
Field-Weighted Citation Impact
1.52
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article

Equations of motion of a track cyclist: Active particle dynamics under strong geometric constraints

Christophe Clanet, Philippe Odier, Basile Pottier, E. Brunet
1 citations
Physical review. E
Winter Sports Injuries and Performance
1.52
article

Equations of motion of a track cyclist: Active particle dynamics under strong geometric constraints

Christophe Clanet, Philippe Odier, Basile Pottier, E. Brunet
article en
1 citations

Abstract

Using in situ measurements from the 2022 World Championships, we derive the equations of motion for a track cyclist as a coupled bicycle-rider-track system. A key observation is that instantaneous pedal power does not map directly onto bicycle speed because elastic compliance within the bicycle-rider assembly stores and releases energy over the crank cycle, introducing a phase lag between input power and translational motion. To resolve this, we develop a phase-averaging framework over the pedaling period that yields an effective, stiff dynamical system driven by cycle-averaged power. The resulting reduced model predicts the evolution of speed without requiring high-frequency pedal-level inputs. A central feature is the geometric coupling between rider dynamics and velodrome shape: the equations link wheel-frame velocity to the center-of-mass velocity through the local track curvature, accounting for banking and radius variations along the lap. Applied to competition data, the framework reproduces the measured speed evolution across straights and turns. Beyond track cycling, the phase-average method provides a general route to modeling propulsion in compliant, cyclic systems where input power is periodic but motion is governed by averaged dynamics.

Physical review. EVol. 112(4)
École Normale Supérieure de Lyon (FR), Centre National de la Recherche Scientifique (FR), École Polytechnique (FR), Laboratoire de Physique de l'ENS de Lyon (FR), Laboratoire d'Hydrodynamique de l'École polytechnique (FR), Fédération française de cardiologie (FR)
Openalex Percentile: Top 13%
Winter Sports Injuries and Performance
1.52
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