Evolving Pacing Strategies for Team Pursuit Track Cycling

  • Markus Wagner
  • Jareth Day
  • Diora Jordan
  • Trent Kroeger
  • Frank Neumann
Part of the Operations Research/Computer Science Interfaces Series book series (ORCS, volume 53)


Team pursuit track cycling is a bicycle racing sport held on velodromes and it is part of the Summer Olympics. It involves the use of strategies to minimize the overall time that a team of cyclists needs to complete a race. We present an optimisation framework for team pursuit track cycling and show how to evolve strategies using metaheuristics for this interesting real-world problem. Our experimental results show that these heuristics lead to significantly better strategies than state-of-art strategies that are currently used by teams of cyclists.


Transition Strategy Rider Transition Pace Strategy Race Time Power Profile 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The authors would like to thank Dr David Martin from the Australian Institute of Sport cycling program and Dr Tammie Ebert from Cycling Australia for their valuable support.


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.School of Computer ScienceThe University of AdelaideAdelaideAustralia

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