Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing
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 techni...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Mary Ann Liebert
2017
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| Online Access: | http://hdl.handle.net/1721.1/109309 |
| _version_ | 1811086698661019648 |
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| author | Tulabandhula, Theja Rudin, Cynthia |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Tulabandhula, Theja Rudin, Cynthia |
| author_sort | Tulabandhula, Theja |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T13:31:02Z |
| format | Article |
| id | mit-1721.1/109309 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:31:02Z |
| publishDate | 2017 |
| publisher | Mary Ann Liebert |
| record_format | dspace |
| spelling | mit-1721.1/1093092022-10-01T15:38:58Z Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing Tulabandhula, Theja Rudin, Cynthia Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Sloan School of Management Tulabandhula, Theja Rudin, Cynthia 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. 2017-05-24T17:56:05Z 2017-05-24T17:56:05Z 2014-06 Article http://purl.org/eprint/type/JournalArticle 2167-6461 2167-647X http://hdl.handle.net/1721.1/109309 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. en_US http://dx.doi.org/10.1089/big.2014.0018 Big Data Creative Commons Attribution 3.0 License http://creativecommons.org/licenses/by/3.0/ application/pdf Mary Ann Liebert Mary Ann Liebert |
| spellingShingle | Tulabandhula, Theja Rudin, Cynthia Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing |
| title | Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing |
| title_full | Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing |
| title_fullStr | Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing |
| title_full_unstemmed | Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing |
| title_short | Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing |
| title_sort | tire changes fresh air and yellow flags challenges in predictive analytics for professional racing |
| url | http://hdl.handle.net/1721.1/109309 |
| work_keys_str_mv | AT tulabandhulatheja tirechangesfreshairandyellowflagschallengesinpredictiveanalyticsforprofessionalracing AT rudincynthia tirechangesfreshairandyellowflagschallengesinpredictiveanalyticsforprofessionalracing |