Design of a Cycling Rider Model based on Multi-objective Particle Swarm Optimization algorithm

Abstract

Cycling Road time trial as a kind of Olympic events, many athletes every day hard training, to the medal launched impact. Meanwhile, besides completing targeted physical training and technical training provided by the coach, being familiar with the race track and reasonably planning their power output in the whole race process according to the road conditions of the race track and themselves may make an operator stand out from many competitors and improve the probability of winning. This paper, mainly through the establishment of the simulation model, fully consider the cyclist on the travel distance of the environment and the rider's energy, using multiple optimized particle swarm algorithm, gives the rider the process of the whole ride as far as possible the optimal ratio of power, to maximize its energy utilization, achieves the can in the shortest possible time to complete the competition.