| Abstract |
During recent years, the optimization of pacing strategies in the field of endurance sports based on mathematical models has become more and more popular. Strategies have been developed for running [1] as well as for cycling [2],[3]. But most of these studies are of theoretical nature and lack of practical relevance.
In this work we want to present an experiment where the optimal strategy has been
applied on a simulated real world track by providing feedback to the athlete on-the-fly. We will present the underlying mathematical models, the parameter estimation, the experiment setting and first results |