Simulation of racing greyhound kinematics

Hossain, MI; Eager, D; Walker, P

Simulation of racing greyhound kinematics

Hossain, MI

Eager, D

Walker, P

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Publication Type:: Conference Proceeding
Citation:: SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, 2019, pp. 47 - 56
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Hossain, MI https://orcid.org/0000-0002-1246-3454	en_US
dc.contributor.author	Eager, D https://orcid.org/0000-0003-1926-7867	en_US
dc.contributor.author	Walker, P https://orcid.org/0000-0003-3988-3966	en_US
dc.date.issued	2019-01-01	en_US
dc.identifier.citation	SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, 2019, pp. 47 - 56	en_US
dc.identifier.isbn	9789897583810	en_US
dc.identifier.uri	http://hdl.handle.net/10453/135270
dc.description.abstract	Copyright © 2019 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved. This paper outlines greyhound dynamics results for yaw rate, speed, and the congestion pattern during a race derived through numerical modelling. The simulation results presented are also correlated to actual race data to validate modelling performance and reliability. The tasks carried out include the development of a numerical model for greyhound veering and race related supporting models, creating track 3D models replicated from actual survey data of the track, establishing a simulation environment that emulates an actual greyhound race, and the processing of both simulation and actual race data. The results show that greyhounds are susceptible to experience varying high acceleration in first five seconds into the race, during which a minimum average forward acceleration of 3.9 m/s2 was calculated, a peak yaw rate magnitude of 0.4 rad/s before the bend while transitioning into the track, and congestion during a race is affected by lure driving performance.	en_US
dc.relation.ispartof	SIMULTECH 2019 - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Simulation of racing greyhound kinematics	en_US
dc.type	Conference Proceeding
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/e-Press
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US

Abstract:

Copyright © 2019 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved. This paper outlines greyhound dynamics results for yaw rate, speed, and the congestion pattern during a race derived through numerical modelling. The simulation results presented are also correlated to actual race data to validate modelling performance and reliability. The tasks carried out include the development of a numerical model for greyhound veering and race related supporting models, creating track 3D models replicated from actual survey data of the track, establishing a simulation environment that emulates an actual greyhound race, and the processing of both simulation and actual race data. The results show that greyhounds are susceptible to experience varying high acceleration in first five seconds into the race, during which a minimum average forward acceleration of 3.9 m/s2 was calculated, a peak yaw rate magnitude of 0.4 rad/s before the bend while transitioning into the track, and congestion during a race is affected by lure driving performance.

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http://hdl.handle.net/10453/135270