Abstract
Speed and endurance are tested in the sport of road cycling, and competitors must appropriately distribute their physical strength based on the road's conditions. This study establishes a bicycle dynamics model based on the rider's motion state and power limitations, as well as the rider's constant power, using the Euler formula in order to obtain the rider's ideal riding strategy. The road conditions are divided into four categories by creating a three-dimensional space coordinate model of the track: uphill, downhill, sharp turns, and flat ground. The cyclist dynamics model is then meticulously optimized to forecast the best performance of various riders on various tracks. The predicted result is improved by the outcome and the reference power allocation scheme.
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