Visual Feedback for Pacing Strategies in Road Cycling

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ARTIGA GONZALEZ, Alexander, Stefan WOLF, Raphael BERTSCHINGER, Dietmar SAUPE, 2018. Visual Feedback for Pacing Strategies in Road Cycling. spinfortec 2018. München, Sep 5, 2018 - Sep 7, 2018. In: spinfortec 2018

@inproceedings{ArtigaGonzalez2018Visua-44931, title={Visual Feedback for Pacing Strategies in Road Cycling}, year={2018}, booktitle={spinfortec 2018}, author={Artiga Gonzalez, Alexander and Wolf, Stefan and Bertschinger, Raphael and Saupe, Dietmar} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <bibo:uri rdf:resource=""/> <dc:contributor>Saupe, Dietmar</dc:contributor> <dc:creator>Saupe, Dietmar</dc:creator> <dspace:isPartOfCollection rdf:resource=""/> <dc:contributor>Artiga Gonzalez, Alexander</dc:contributor> <dc:contributor>Bertschinger, Raphael</dc:contributor> <dcterms:issued>2018</dcterms:issued> <dc:creator>Bertschinger, Raphael</dc:creator> <dc:language>eng</dc:language> <dc:date rdf:datatype="">2019-02-08T12:00:46Z</dc:date> <dcterms:title>Visual Feedback for Pacing Strategies in Road Cycling</dcterms:title> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:isPartOf rdf:resource=""/> <dc:rights>terms-of-use</dc:rights> <dcterms:available rdf:datatype="">2019-02-08T12:00:46Z</dcterms:available> <dc:contributor>Wolf, Stefan</dc:contributor> <dcterms:abstract xml:lang="eng">The right choice of a pacing strategy for a time trial race is important and often difficult to establish. 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 based 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 predictions made by those models.</dcterms:abstract> <dcterms:rights rdf:resource=""/> <dc:creator>Wolf, Stefan</dc:creator> <dc:creator>Artiga Gonzalez, Alexander</dc:creator> </rdf:Description> </rdf:RDF>

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