Testing and data collection is done on our own cyclingsimulation software, which offers scientific precision and an accurate simulation of real-world courses. The simulation is used for validation of optimal pacing strategies computed with our physiological models. We are constantly working on improvements of the simulation and data collection tool. Current research addresses inertia simulation, mountainbike simulation (algorithms for braking in sharp curves and steep downhill sections, surface types) and feedback techniques.
The individual power supply model of an athlete is the bottleneck that has hindered the design of an individual adequate feedback control system that guides him/her to perform a specific task such as to find the minimum-time pacing in a race on a hilly track.
There are two kinds of approaches to get such a model. The first model type is directly based on concepts of physiology. Another approach are black box models from the field of system identification without any relation to physiology.
We use both kinds of models for the development of whole human body models and also for modeling and prediction of important measurements as heart rate or respiratory gas which contribute to the whole body system.