In many motorcycle accidents, the motorcycle falls to the ground and slides to rest following impact or loss of control. The determination of the motorcycle speed just prior to ‘fall-over’ is important for biomechanics research and for litigation. This paper presents a new model of motorcycle fall-over and slide, which accounts for the loss of horizontal momentum resulting from the initial motorcycle-to-ground impact and the subsequent slide to rest. The model includes cases involving motorcycle fall-over owing to loss of control as well as impact. The models represent both the mean and variation present in the available experimental data for dry roads very well and are used to develop confidence limits for accident reconstruction purposes, in cases where only the motorcycle slide distance along the ground is known. Previously proposed confidence limit criteria are applied to predicting motorcycle speed ranges from slide distance, and it is shown that the level of prediction uncertainty can be substantially reduced in cases where additional information specific to the vehicle and road configurations is available.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.