Predictive dynamic simulation of olympic track cycling standing start

In this study, a ten degree-of-freedom, two-legged cyclist and bicycle model was developed and utilized for predictive dynamic simulations of standing starts. Direct collocation optimal control was used to generate the predictive simulation with the goal of maximizing distance travelled over a fixed time. Simulation results were compared with experimental data from a member of the Canadian Olympic team performing standing starts on the track. The predictive simulations replicated key aspects of the experimental standing start technique such as the drive and reset.