Cycling time trial strategies considering peak power-time curve and acceleration

The constant power pacing strategy is typically recommended for long, flat, and windless cycling time trial races. For courses with wind or hills, a variable power pacing strategy is often suggested—one that increases power during headwind or uphill sections and decreases it during tailwind or downhill sections. We analyzed 10 km and 1 km courses under various conditions, including flat and windless, windy, and hilly scenarios, and compared different pacing strategies by considering peak power–time curves and acceleration. For 10 km courses, a fast-start strategy followed by constant power was found to be effective. In contrast, the variable power pacing strategy showed no significant advantage and even worsened finish times when the course started with a downhill followed by an uphill section. For 1 km courses, the variable power pacing strategy improved performance except for the tailwind-then-headwind scenario, where it actually worsened the finish time. In contrast to 10 km courses, the downhill-then-uphill case saw a marked improvement with the variable power pacing approach.

Authors

Institutions

Publication Details

Journal
International Journal of Sports Science & Coaching
Published
2025-08-25
DOI
https://doi.org/10.1177/17479541251364404
Citations
2
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
3.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cycling time trial strategies considering peak power-time curve and acceleration

Y. Fujii, Aftab Alam
2 citations
International Journal of Sports Science & Coaching
Sports Performance and Training
3.44
article

Cycling time trial strategies considering peak power-time curve and acceleration

Y. Fujii, Aftab Alam
article en
2 citations

Abstract

The constant power pacing strategy is typically recommended for long, flat, and windless cycling time trial races. For courses with wind or hills, a variable power pacing strategy is often suggested—one that increases power during headwind or uphill sections and decreases it during tailwind or downhill sections. We analyzed 10 km and 1 km courses under various conditions, including flat and windless, windy, and hilly scenarios, and compared different pacing strategies by considering peak power–time curves and acceleration. For 10 km courses, a fast-start strategy followed by constant power was found to be effective. In contrast, the variable power pacing strategy showed no significant advantage and even worsened finish times when the course started with a downhill followed by an uphill section. For 1 km courses, the variable power pacing strategy improved performance except for the tailwind-then-headwind scenario, where it actually worsened the finish time. In contrast to 10 km courses, the downhill-then-uphill case saw a marked improvement with the variable power pacing approach.

International Journal of Sports Science & Coaching
Hokkaido University (JP), Dhaka University of Engineering & Technology (BD)
Openalex Percentile: Top 8%
Sports Performance and Training
3.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Cycling time trial strategies considering peak power-time curve and acceleration — Y. Fujii, Aftab Alam · International Journal of Sports Science & Coaching (2025) | TGRS Research Map | TGRS