Project Summary
The Loops Optimization sub-project is focused on building models to analyze and forecast loops effectiveness and efficiency to our distance-maximizing performance. The loops team is building models for before and during the race.
Goals
Determine the types of data needed to make decisions about which loops to take or not to take
Build a model that determines which loop to take prior to the race starting
Build a model that determines which loop to take based on real-time race conditions as well as how to take the loop (speed, other factors).