Chris Abbiss, Associate Professor, School of Exercise and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia.
Modelling of Fatigue, Function and Performance During Endurance Cycling
Many methods and techniques have been developed in order to model endurance performance. Such modelling provides valuable information regarding the quantification of load during both training and competition. This quantification is of importance to understanding fitness and fatigue and thus hopefully assist in the prediction of both optimal (i.e. competition) and suboptimal (i.e. overreaching) performances. However, the modelling of performance in endurance sports is often complicated by difficulties in the quantification of input and output variables to these models. This presentation will discuss some of these issues in the quantification of load during prolonged exercise.
Jim Martin, Associate Professor, Exercise And Sport Science, University of Utah, Salt Lake City, USA.
Modeling Sprint Finishes of Endurance Cycling Competitions
Endurance cycling events are often won or lost in a maximal finishing sprint. Supply and demand modeling may provide useful insight regarding optimal sprinting strategies. However, modeling energy supply during such a sprint is complicated by the initial conditions for that sprint, including fatigue and pedaling rate, and by the progression of fatigue during the sprint itself. Energy demand is highly dependent on aerodynamic drag which, in turn, depends on velocity and proximity to other riders. In this presentation, validation of a recently-developed model for supply power during maximal cycling will be presented. An established demand model will be modified to include recently published data on rider-rider aerodynamic interactions. These supply and demand models will be coupled to predict performance using forward integration and to explore a variety of sprint finish strategies including starting point, gear selection, following distance, and lateral clearance during passing.
Daniel Green, Head of Sports Science at Trek-Segafredo Cycling Team.
Performance Index for Cycling
In order to evaluate if an athlete is adapting and improving to a training stimulus it is essential to have a method to assess performance. Due to the highly stochastic nature of road cycling, the attributes essential to achieving results requires athletes to produce high power outputs for durations as short as 3 seconds, or for more than 40 minutes. Therefore a new methodology has been devised which calculates a Performance Index for Cycling (PIC). The PIC is single metric which is representative of the performance capabilities of a cyclist across a range of time durations and racing circumstances. The PIC can then be used to monitor changes within a single cyclists or to compare cyclists with different attributes in order to assess their potential for success in road cycling.
Rob Kitching, Head of Engineering & Analytics, www.cyclingpowerlab.com, London, UK.
Practical Applications of Simulation & Optimisation in Road Cycling
The domain of road cycling benefits from several established models which can be used to account for the interplay between physical power demands and physiological limitations on power supply. Computational approaches which leverage these models can often provide further insights in the quest for high performance and this presentation will review some practical applications of holistic performance modelling with simulation and optimisation. It will consider some crossover from the domain of computational finance where simulation is used heavily and lessons learned from applied work assisting coaches and elite athletes.