Abstract
This paper presents the characterization of a random road roughness based on the direct measurements of the road roughness using a laser-type displacement sensor. A road profile is typically classified by its wavelength into micro texture, macro texture, mega texture, and road roughness. Since the road roughness acts as the disturbance input to the suspension system, it is essential to characterize the properties of the road roughness for analyzing the ride quality and handling the characteristics of the vehicle. To model the interaction between the tire and road excitation, the road roughness is assumed as the Gauss–Markov process in this study. The measurement results of the road roughness show how the road surface can act as a disturbance input to the vehicle suspension systems, and a good agreement with the Gauss–Markov process. The road roughness model based on the Gauss–Markov process can be utilized for Monte Carlo simulation and the process noise modeling of discrete Kalman filter in the suspension system.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Transactions of the Korean Society for Noise and Vibration Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
