Paper
19 April 2013 Road condition evaluation using the vibration response of ordinary vehicles and synchronously recorded movies
Tomonori Nagayama, Akira Miyajima, Shunya Kimura, Yuuki Shimada, Yozo Fujino
Author Affiliations +
Abstract
Frequent and quantitative assessment of road condition is important as the maintenance of the road infrastructure needs to be performed with a limited budget. Vehicle Intelligent Monitoring System (VIMS) has been developed to estimate an index of road ride comfort (International Roughness Index; IRI) by obtaining the acceleration responses of ordinary vehicles together with GPS position data. VIMS converts the vertical acceleration of the measurement vehicle to acceleration RMS of the sprung mass of the standard Quarter Car model, and then to IRI using an approximate expression. By driving over a hump of a known profile and comparing the responses with Quarter Car simulation responses, a variety of vehicles can be calibrated; a non-linear quarter car model equivalent to the vehicle is identified. By performing numerical simulation using the nonlinear vehicle model, the difference in driving speed can also be calibrated. The measurement results can be exported to maps to comprehend road condition in a geographical view and to other data base systems. In addition, smartphones which can record motions, GPS data, and movies synchronously are utilized to improve VIMS. Because practical installation locations of smartphones are limited and because angular velocity responses are less subjective to difference in installation locations, VIMS is extended to utilize the pitching angular velocity. Furthermore, high frequency components of acceleration responses are analyzed to distinguish local pavement damages or joints from rough road sections. The examination of synchronously recorded movies confirmed the capability to distinguish the local conditions.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tomonori Nagayama, Akira Miyajima, Shunya Kimura, Yuuki Shimada, and Yozo Fujino "Road condition evaluation using the vibration response of ordinary vehicles and synchronously recorded movies", Proc. SPIE 8692, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013, 86923A (19 April 2013); https://doi.org/10.1117/12.2010074
Lens.org Logo
CITATIONS
Cited by 16 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
IRIS Consortium

Roads

Calibration

Global Positioning System

Velocity measurements

Intelligence systems

Sensors

Back to Top