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Modelling Peloton Dynamics in Competitive Cycling: A Quantitative Approach

  • Erick Martins RatameroEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 464)

Abstract

We propose an agent-based model for peloton dynamics in competitive cycling. It aims to generate the very complex behaviour observed in real-life competitive cycling from a collection of agents with simple rules of behaviour. Cyclists in a peloton try to minimize their energy expenditure by riding behind other cyclists, in areas of reduced air resistance. Drafting cyclists spend considerably less energy than frontrunners, making the strategies in the sport to be based around trailing as much as possible. We quantify energy expenditure and recovery in relation to cyclists’ positions in the peloton. Finally, we analyse the results and try to compare them to real-life behaviour of competitive pelotons.

Keywords

Agent-based modelling Computer simulation Peloton dynamics Flocking Emerging complexity 

Notes

Acknowledgements

Many thanks to Prof. René Doursat (Institut des Systèmes Complexes Paris Île-de-France) for the teachings about agent-based models and for supporting his students’ ideas. Thanks to James Newling, for the insightful discussions during the development of the model. This work was supported by an Erasmus Mundus Masters scholarship for the Complex Systems Science program.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.MOAC Doctoral Training CentreUniversity of WarwickCoventryUK

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