Computing realistic imaginary races.
Improving horses performance through tracking and optimization.
Centre d’Analyse et de
Mathématique Sociales (CAMS)
CNRS & EHESS (Paris)
McLloyd tracker provides accurate speed and position estimates of horses in a race. How these data could be useful to improve selection and training?
Challenges and goals
The aim is to provide a profile of the best strategy for a fixed distance, to understand the effects of changes in altitude and curves on the track. For each type of race, we determine the best horses profiles.
Mathematical and computational methods
McLloyd’s miniaturized tracker provides data on all the parameters of the horses running a race. Combined with two physics principles (energy conservation and Newton’s second law), a solver compute the global optimal strategy for horses on a fixed distance. Small perturbations on the tracks (bending or slope) may lead to drastic changes on the optimal solutions. The race is then reconstructed in virtual reality and various combinations may be tested.
Results and Benefits
Once we have the tracking data for a horse on a race, we compute realistic imaginary races on other tracks using optimization techniques. This should help to determine on which race to enter a horse. The project was supported by AMIES who allowed to hire an engineer.