Visualization of Indy Car telemetry data

Project Details

Project Lead
Judy Qiu 
Project Manager
Sabra Ossen 
Project Members
Sabra Ossen, Raviteja Bingi, Supun Kamburugamuve, Sahil Tyagi, Chathura Widanalage  
Institution
Indiana University, School of Informatics and Computing  
Discipline
Computer Science (401) 

Abstract

Analyze the Indy Car dataset obtained through Indianapolis 500 and expose the visualization to users outside of IU. Further analysis of Telemetry data will also be done.

Intellectual Merit

Telemetry is the automatic recording and transmission of data from remote or inaccessible sources to an IT system. Analysing Telemetry data allows in performance monitoring and improvements in race car performance.

Broader Impacts

In-depth analysis of Telemetry data to identify anomalies in the car races.

Scale of Use

One haswell node for an indeterminant time. May move to other hardware once demand is established.