Simulating Theoretical Jerk by Numerical Modelling for Greyhound Racing

Md. Hossain, David Eager

2022

Abstract

This paper presents the jerk dynamics of a racing greyhound running alone by simulating the centrifugal acceleration for different race scenarios and track path design options. Simulation parameters were defined from the real-world greyhound track designs and greyhound race data to provide relevant results for race conditions. Virtual race scenarios were created to achieve maximum results. By simulating greyhound strides as discrete events, the theoretical jerk was calculated. The results show how different track design conditions and race scenarios can affect greyhound dynamics for the track bends. This can be applied to better understand and improve track design for improved dynamics with a view to reduce the frequency and severity of injuries.

Paper Citation

in Harvard Style

Hossain M. and Eager D. (2022). Simulating Theoretical Jerk by Numerical Modelling for Greyhound Racing. In Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-578-4, pages 379-385. DOI: 10.5220/0011324500003274

in Bibtex Style

@conference{simultech22,
author={Md. Hossain and David Eager},
title={Simulating Theoretical Jerk by Numerical Modelling for Greyhound Racing},
booktitle={Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2022},
pages={379-385},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011324500003274},
isbn={978-989-758-578-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Simulating Theoretical Jerk by Numerical Modelling for Greyhound Racing
SN - 978-989-758-578-4
AU - Hossain M.
AU - Eager D.
PY - 2022
SP - 379
EP - 385
DO - 10.5220/0011324500003274