Publikation: Knowing your slope on the track : getting the most out of GPS and power data
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2017
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Open Access Gold
Core Facility der Universität Konstanz
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Published
Erschienen in
Journal of Science & Cycling. 2017, 6(3). eISSN 2254-7053
Zusammenfassung
When cycling on hilly tracks, gravitational forces have a major influence on the cycling performance. For uphill tracks overcoming altitude differences can consume over 90% of the rider’s total power output [1]. Therefore, a good estimate of the slope is essential for simulating, predicting and optimizing the rider’s power output on a hilly course. In this work different methods to estimate slope profiles from recorded altitude, speed and power data were applied. The resulting slope profiles are compared with reference values gathered by differential GPS to quantify the error on the corresponding modelled power output.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
road cycling, modelling, slope, altitude, potential energy testing
Konferenz
Rezension
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Zitieren
ISO 690
WOLF, Stefan, Dietmar SAUPE, 2017. Knowing your slope on the track : getting the most out of GPS and power data. In: Journal of Science & Cycling. 2017, 6(3). eISSN 2254-7053BibTex
@article{Wolf2017Knowi-44906,
year={2017},
title={Knowing your slope on the track : getting the most out of GPS and power data},
url={http://www.jsc-journal.com/ojs/index.php?journal=JSC&page=article&op=view&path%5B%5D=373},
number={3},
volume={6},
journal={Journal of Science & Cycling},
author={Wolf, Stefan and Saupe, Dietmar}
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<dcterms:abstract xml:lang="eng">When cycling on hilly tracks, gravitational forces have a major influence on the cycling performance. For uphill tracks overcoming altitude differences can consume over 90% of the rider’s total power output [1]. Therefore, a good estimate of the slope is essential for simulating, predicting and optimizing the rider’s power output on a hilly course. In this work different methods to estimate slope profiles from recorded altitude, speed and power data were applied. The resulting slope profiles are compared with reference values gathered by differential GPS to quantify the error on the corresponding modelled power output.</dcterms:abstract>
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URL der Originalveröffentl.
Prüfdatum der URL
2019-02-07
Prüfungsdatum der Dissertation
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Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Ja
