Riding Scheme Based on Fraction-weight Model
DOI:
https://doi.org/10.54097/hset.v49i.8408Keywords:
Skiba model; Energy-power model; Critical power.Abstract
The difference of 0.01s is enough to decide the winner of a race. To push oneself to the limit through training is the meaning of sports, and to seize every second by helping athletes polish details and optimize tactics is the meaning of modern sports technology. This is evident in the Individual Time Trial (ITT), a race that focuses on tactics and details. In order to help riders achieve better results, it have created optimization methods for each type of rider and course, taking into account energy reserves (stamina), rider power and course conditions. So, several models are developed in this paper: scoring weighted regression model and energy-power model based on Skiba model.
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References
Skiba P F, Clarke D C. The W′ Balance Model: Mathematical and Methodological Considerations[J]. International Journal of Sports Physiology and Performance, 2021, 16(11): 1561-1572.
Martin J C, Davidson C J, Pardyjak E R. Understanding sprint-cycling performance: the integration of muscle power, resistance, and modeling[J]. International journal of sports physiology and performance, 2007, 2(1): 5-21.
Vanhatalo A, Jones A M, Burnley M. Application of critical power in sport[J]. International journal of sports physiology and performance, 2011, 6(1): 128-136.
Poole D C, Burnley M, Vanhatalo A, et al. Critical power: an important fatigue threshold in exercise physiology[J]. Medicine and science in sports and exercise, 2016, 48(11): 2320.
Bailey S J, Vanhatalo A, Dimenna F J, et al. Fast-start strategy improves VO2 kinetics and high-intensity exercise performance[J]. Medicine and science in sports and exercise, 2011, 43(3): 457-467.
Springer A D. Optimizing cycling power[D]. Massachusetts Institute of Technology, 2016.
Faria E W, Parker D L, Faria I E. The science of cycling[J]. Sports medicine, 2005, 35(4): 285-312.
Rainer Pivit. Drag Force Formulas [M]. German: Radfahren, 1990: 44-46
De Jong J, Fokkink R, Olsder G J, et al. The individual time trial as an optimal control problem[J]. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, 2017, 231(3): 200-206.
Gordon S. Optimising distribution of power during a cycling time trial[J]. Sports Engineering, 2005, 8(2): 81-90.
van Druenen T, Blocken B. Aerodynamic analysis of uphill drafting in cycling[J]. Sports Engineering, 2021, 24(1): 1-11.
Peiser B, Reilly T. Environmental factors in the summer Olympics in historical perspective[J]. Journal of Sports Sciences, 2004, 22(10): 981-1002.
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