Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing
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Tulabandhula-2014-Tire changes, fresh air, and.pdf
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633.17 KB
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Adobe PDF
Checksum (MD5)
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Author(s)
Tulabandhula, Theja
Rudin, Cynthia
Date Issued
June 2014
Journal
Big Data
Publisher
Mary Ann Liebert
Citation
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.
Version
Final published version
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Sloan School of Management
Terms of Use
Creative Commons Attribution 3.0 License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1089/big.2014.0018
