The ability to predict the systematic decrease of power during physical exertion gives
valuable insights into health, performance, and injury. This review surveys the research of …

A new dynamic model for predicting road cycling individual time trials with optimal control
was created. The model included both lateral and longitudinal bicycle dynamics, 3D road …

Improving a cyclist performance during a time-trial effort has been a challenge for sport
scientists for several decades. There has been a lot of work on understanding the …

ABSTRACT A methodology to study bike handling of cyclists during individual time trials
(ITT) is presented. Lateral and longitudinal accelerations were estimated from GPS data of …

Data Science advances in sports commonly involve “big data”, ie, large sport-related data
sets. However, such big data sets are not always available, necessitating specialized …

A mathematical model of a bike-rider's longitudinal and lateral dynamics was used to study
the influence of road conditions (tyre-road friction coefficient) on cycling individual time trial …

This article formulates the optimal pacing of a cyclist on hilly terrain time trials as a minimum-
time optimal control problem. The maximal power of a cyclist serves as a time-varying …

Purpose The constant work-rate to exhaustion tests must be repeated several times at each
work-rate to estimate subject-level trial-to-trial variance (intra-individual variability, IIV) of …

The objective of this project is to find optimal pacing strategies for time trial cycling. A pacing
strategy, in this context, is based on power output levels measured on an ergometer. The …

Decision-making in the presence of intelligent adversaries is all around us. Whether we are
determining our optimal bid for a valuable auction item, devising a counter strategy for …