Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing
Author(s)Tulabandhula, Theja; Rudin, Cynthia
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Our goal is to design a prediction and decision system for real-time use during a professional car race. In designing a knowledge discovery process for racing, we faced several challenges that were overcome only when domain knowledge of racing was carefully infused within statistical modeling techniques. In this article, we describe how we leveraged expert knowledge of the domain to produce a real-time decision system for tire changes within a race. Our forecasts have the potential to impact how racing teams can optimize strategy by making tire-change decisions to benefit their rank position. Our work significantly expands previous research on sports analytics, as it is the only work on analytical methods for within-race prediction and decision making for professional car racing.
DepartmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Sloan School of Management
Mary Ann Liebert
Tulabandhula, Theja, and Cynthia Rudin. “Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing.” Big Data 2.2 (2014): 97–112. © 2012 Mary Ann Liebert, Inc.
Final published version