Optimizing Cycling Performance: Comprehensive Analysis Using OMPD, Weather Influence, and Team Dynamics

Abstract

Competitive cycling requires strategic power management, influenced by individual abilities, environmental conditions, and team coordination, to achieve optimal performance in diverse racing scenarios. This study introduces an enhanced simulation model for cycling performance, which replaces the traditional CP model with the OMPD model and incorporates elements like fatigue, weather, and road information for a more comprehensive analysis. The model is applied to various tracks to analyze individual cyclists’ power output, fatigue, and abilities. It reveals significant power differences between male and female cyclists. The study also extends the model to team dynamics, examining how a six-person team, functioning as a single unit, can achieve higher overall power and efficiency compared to individual performances. Furthermore, the model includes a weather system and assesses the minimal impact of weather conditions on cyclists. Through repeated simulations, the robustness of the model and its effectiveness in predicting race outcomes are demonstrated, providing valuable insights for coaches and cyclists in strategizing for competitive racing.