Paper
19 April 2013 Road profile estimation of city roads using DTPS
Qi Wang, J. Gregory McDaniel, Nian X. Sun, Ming L. Wang
Author Affiliations +
Abstract
This work presents a non-destructive and non-contact acoustic sensing approach for measuring road profile of road and bridge deck with vehicles running at normal speed without stopping traffic. This approach uses an instantaneous and real-time dynamic tire pressure sensor (DTPS) that can measure dynamic response of the tire-road interaction and increases the efficiency of currently used road profile measuring systems with vehicle body-mounted profilers and axle-mounted accelerometers. In this work, a prototype of real-time DTPS system has been developed and demonstrated on a testing van at speeds from 5 to 80 miles per hour (mph). A data analysis algorithm has been developed to remove axle dynamic motions from the measured DTPS data and to find the transfer function between dynamic tire pressure change and the road profile. Field test has been performed to estimate road profiles. The road profile resolution is approximately 5 to 10 cm in width and sensitivity is 0. 3 cm for the height road surface features at driving speeds of 5 to 80 mph.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qi Wang, J. Gregory McDaniel, Nian X. Sun, and Ming L. Wang "Road profile estimation of city roads using DTPS", Proc. SPIE 8692, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013, 86923C (19 April 2013); https://doi.org/10.1117/12.2012026
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Cited by 6 scholarly publications.
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KEYWORDS
Roads

Sensors

Neodymium

Algorithm development

Fourier transforms

Computing systems

IRIS Consortium

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