@article{Wolf2018Model-44878,
  year={2018},
  title={Modeling in Road Cycling for Optimal Pacing Strategies : Theory vs. Practice},
  url={http://www.jsc-journal.com/ojs/index.php?journal=JSC&page=article&op=view&path%5B%5D=397},
  number={2},
  volume={7},
  journal={Journal of Science and Cycling},
  pages={18--19},
  author={Wolf, Stefan and Artiga Gonzalez, Alexander and Bertschinger, Raphael and Saupe, Dietmar}
}

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    <dc:creator>Bertschinger, Raphael</dc:creator>
    <dc:creator>Artiga Gonzalez, Alexander</dc:creator>
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    <dc:contributor>Bertschinger, Raphael</dc:contributor>
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    <dc:contributor>Artiga Gonzalez, Alexander</dc:contributor>
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    <dc:language>eng</dc:language>
    <dc:creator>Wolf, Stefan</dc:creator>
    <dc:rights>Attribution 3.0 Unported</dc:rights>
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    <dcterms:abstract xml:lang="eng">The right choice of a pacing strategy for a time trial race is important and often difficult to establish. With the increasing popularity  of  online  sports  data  platforms  like  Strava  (www.strava.com),  pacing  strategies  may  become  interesting even for recreational cyclists since they can compete against each other v irtually on selected segments. Methods are now available to generate pacing strategies that are optimal, however, only in a mathematical sense. Until now, they were  tested  in  practice  only  under  laboratory  conditions ( 1 ) .  Pacing  strategies  are  generally  ba sed  on  two mathematical models: 1. To describe the relation between power output and speed ( 2 ) , and 2. To describe the fatigue of the rider related to the power output ( 3 ) . The quality and validity of these pacing strategies relies on the accuracy of the p redictions made by those models. In this paper, we describe our findings on a pilot study during a two week period of cycling with regard to the prediction quality of the two models while following precalculated optimal pacing strategies in the field rides . This is not meant to be  a fully - fledged  study  applying,  e.g.,  a  statistical  analysis for  a  sufficiently  large  number  of  participants.  This pilot study  rather  intended  to  demonstrate  that,  in  principle,  the  theoretically  optimal  pacing  strategies  can  in  f act  be implemented  for  field  rides  in  practice.  Moreover,  it  was  the  purpose  of  the  study  to  identify  the  problems  of  the approach occurring in practice, and to outline solutions for these.</dcterms:abstract>
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    <dc:contributor>Wolf, Stefan</dc:contributor>
    <dc:contributor>Saupe, Dietmar</dc:contributor>
    <dcterms:issued>2018</dcterms:issued>
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    <dcterms:title>Modeling in Road Cycling for Optimal Pacing Strategies : Theory vs. Practice</dcterms:title>
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    <dc:creator>Saupe, Dietmar</dc:creator>
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