Optimal Power Allocation Model for Different types of Cyclists

Fitted the power profiles (indicates how long a rider can produce a given amount of power) for different types of cyclists using the hyperbolic model after a thorough review of the literature on kinematics physics to characterize their unique ability Derived the ordinary differential equations for cyclists’ power and riding velocity from the dynamic analysis of cyclists
Developed and solved a planning model targeting the shortest time for 2021 Tokyo Olympic Time Trial course under the constraints of sharp turns velocity and sprint limits
Tested the robustness and stability of the model by adding the influence of $\pm3𝑚/s$ wind velocity as well as calculating the time taken for the power distribution to deviate 10% from the ideal model
Applied the model to team cycling races to analyze the time used in different team synergy modes