Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/47977
Title: Examining Physical Realism in Motorcycle Simulators
Authors: MAMO, Wondwesen
HUSSAIN, Qinaat
Ahamed, Hussain
Arbab, Mohamed
Alhajyaseen, Wael K.M.
BRIJS, Kris 
CUENEN, Ariane 
Al-madeed, Somaya
Editors: Shakshuki, Elhadi
Issue Date: 2025
Publisher: Elsevier
Source: Elsevier, p. 15 -22
Abstract: Motorcycle simulators are increasingly being used for safety research and rider training. However, replicating the physical realism found in real motorcycles poses challenges. Despite the growing interest in motorcycle simulator realism, there is a lack of comprehensive evaluations assessing the essential realistic features of the simulators currently available. This highlights the need for a thorough and updated review of simulator realism. This paper aims to provide an overview of the key aspects of physical realism in motorcycle simulators, including motion fidelity, control accuracy, sensory feedback, motion cuing and visual immersion. This paper evaluates 13 motorcycle simulators. Our evaluation shows that, although the complexity of the systems varies significantly, physical realism is consistently influenced by the convergence of a selection of key features. Advanced simulators demonstrate that the incorporation of integrated, multisensory, and dynamic features substantially enhances the perception of realism. As a result, these features may be considered as essential benchmarks for developing and validating motorcycle simulators.
Keywords: Motorcycle simulator;realism;review;motion
Document URI: http://hdl.handle.net/1942/47977
ISSN: 1877-0509
DOI: 10.1016/j.procs.2025.10.173
Rights: The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer review under the responsibility of the scientific committee of the Program Chairs.
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

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