This paper examines race strategies in cycling to help athletes win. The three-parameter CP model, which is regarded to critical power CP, anaerobic work capacity AWC and the maximum duration T, and a total energy consumption model are establishment in this paper. We present a segmented optimum technique to investigate riders’ energy distribution, whose target is to obtain relative optimality in each divided tiny time period. To build a total energy consumption model, the player's functional threshold power FTP, available anaerobic work W', and fatigue effect α are all taken into account throughout each time period tk. Then we investigate two typical stages of courses: straight sections and slopes. The model is then applied to real track. The results reveal that the theoretical final time has little difference when compared to the champion's time.

Honglin Liu. Research of Cycling Race Strategy Based on Segment Optimization Technique. Frontiers in Sport Research (2022) Vol. 4, Issue 3: 28-31. https://doi.org/10.25236/FSR.2022.040306.

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