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Planning Formula One race strategies using discrete-event simulation

Author

Listed:
  • J Bekker

    (Department of Industrial Engineering)

  • W Lotz

    (Department of Industrial Engineering)

Abstract

A discrete-event simulation model that imitates most on-track events, including car failures, passing manoeuvres and pit stops during a Formula One race, is presented. The model is intended for use by a specific team. It will enable decision-makers to plan and evaluate their race strategy, consequently providing them with a possible competitive advantage. The simulation modelling approach presented in this paper captures the mechanical complexities and physical interactions of a race car with its environment through a time-based approach. Model verification and validation are demonstrated using three races from the 2005 season. The application of the model is illustrated by evaluating the race strategies employed by a specific team during these three races.

Suggested Citation

  • J Bekker & W Lotz, 2009. "Planning Formula One race strategies using discrete-event simulation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(7), pages 952-961, July.
    • Handle: RePEc:pal:jorsoc:v:60:y:2009:i:7:d:10.1057_palgrave.jors.2602626
    DOI: 10.1057/palgrave.jors.2602626
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    References listed on IDEAS

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    1. Koning, Ruud H. & Koolhaas, Michael & Renes, Gusta & Ridder, Geert, 2003. "A simulation model for football championships," European Journal of Operational Research, Elsevier, vol. 148(2), pages 268-276, July.
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    Cited by:

    1. László Csató, 2023. "A comparative study of scoring systems by simulations," Journal of Sports Economics, , vol. 24(4), pages 526-545, May.
    2. Oscar F. Carrasco Heine & Charles Thraves, 2023. "On the optimization of pit stop strategies via dynamic programming," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(1), pages 239-268, March.
    3. Dobson, Stephen & Goddard, John, 2010. "Optimizing strategic behaviour in a dynamic setting in professional team sports," European Journal of Operational Research, Elsevier, vol. 205(3), pages 661-669, September.
    4. Chris Judde & Ross Booth & Robert Brooks, 2013. "Second Place Is First of the Losers," Journal of Sports Economics, , vol. 14(4), pages 411-439, August.
    5. Oliver Budzinski & Arne Feddersen, 2020. "Measuring competitive balance in Formula One racing," Chapters, in: Plácido Rodríguez & Stefan Kesenne & Brad R. Humphreys (ed.), Outcome Uncertainty in Sporting Events, chapter 1, pages 5-26, Edward Elgar Publishing.

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