How to build a new athletic track to break records

Area of Science:

• Biomechanics
• Neuroscience
• Control Theory

Background:

• Understanding optimal running strategies is crucial for athletic performance and training.
• Existing models often simplify the complex interplay between mechanics, energetics, and neural control.
• The economic decision theory offers a novel framework for analyzing cost-benefit in motor control.

Purpose of the Study:

• To develop a new optimal control model for running on a fixed distance.
• To integrate mechanics, energetics, and neural drive with economic decision theory.
• To determine how runners minimize effort and optimize their strategy, particularly on track bends.

Main Methods:

• Developed a novel optimal control model.
• Coupled biomechanical, energetic, and neural drive components.
• Applied economic decision theory to model cost and benefit.
• Related the model to the Dubins path problem for track geometry analysis.

Main Results:

• Identified strategies for minimizing motor control effort during running.
• Demonstrated the model's ability to discriminate between different track types and lane discrepancies.
• Determined the optimal track geometry based on the model.
• Provided a method for estimating potential record times.

Conclusions:

• The developed model offers a comprehensive approach to understanding running optimization.
• Effort minimization is key to optimal running strategy, especially in curved sections.
• The model has implications for track design, runner training, and performance prediction.