Flying Laps

Changes in Gear, RPM's, Braking, Speed and Throttle (from bottom to top) through turn 15
Telemetry data stack (observations of individual variables are stacked by lap number )
Legend and layer control in app

Inspiration

Welcome to Flying Laps, experience Gazoo Racing like never before! Flying laps is an interactive 3D visualization of the telemetry dataset from Race 2 at the Barber Motorsport Park in Birmingham Alabama. Telemetry data allows us to observe every micro adjustment made by the driver over the course of a race. Flying laps brings this data to life by presenting each variable individually in space and time allowing us to visualize the tens of thousands of decisions made by a driver over the course of a race.

What it does

Flying laps visualizes telemetry data for the following variables: Gear, RPM’s, Braking, Speed, Throttle, and Streeting Angle. Each telemetry variable presents ~27,000 observations over the course of race 2 at the Barber Motorsport Park from Laps 4 to 27. Observations within each variable group are "stacked" with earlier laps presented at the bottom and later laps presented towards the top of the stack. Layers can be turned on and off and attribute values can be viewed by clicking on the objects.

How we built it

Flying laps was created using telemetry data from the barber motorsports park race number 2. The data was transformed so that each observation was represented as a point location. Next the data was filtered to remove outliers and the driver with the most valid observations was visualized in 3D using ArcGIS Online.

Challenges we ran into

The main challenge in this project was filtering out outliers and deciding how to best visualize the data without encountering memory issues rendering the data in 3D.

Accomplishments that we're proud of

I really like the way this project captures the skill of professional race car drivers, Visualizing the data in this manner clearly demonstrates how quickly drivers are able to adjust to the continuously changing conditions of the track, and actions of other drivers. Additionally, this project helps visualize how many lighting fast decisions must be made to be the fastest!