Development and evaluation of an inertial based pavement roughness measuring system

Roughness is an important indicator of pavement riding comfort and safety. It is a condition indicator that should be carefully considered when evaluating primary pavements. At the same time, the use of roughness measurements plays a critical role in the pavement management system. There are many devices used for roughness evaluation. The major tools used for road roughness quantify are the road profilers. In the thesis research, in order to obtain useful pavement surface condition data for pavement evaluation, an inertial based pavement roughness measuring system was developed with the combination of modern sensor technology and computer technology. The research will focus on the development of new method to get the profile in order to improve the repeatability of the inertial based pavement roughness system, the hardware design and the software development which is used for data sampling and data analysis. Finally maximum entropy spectral analysis method was used to evaluate the road profile spectrum. In order to get evaluate the accuracy and correction of the laser profiler system, different roughness devices (including Dipstick, direct type profiler and the laser profiler

[1]  Elson B. Spangler,et al.  GMR ROAD PROFILOMETER - A METHOD FOR MEASURING ROAD PROFILE , 1966 .

[2]  T D Gillespie,et al.  Calibration of response-type road roughness measuring systems , 1980 .

[3]  Christopher R Bennett,et al.  Calibrating Road Roughness Meters in Developing Countries , 1996 .

[4]  Jian Lu.  SPECTRAL ANALYSIS OF VEHICLE SPEED CHARACTERISTICS , 1992 .

[5]  William H. Press,et al.  The Art of Scientific Computing Second Edition , 1998 .

[6]  Mrcrmsr W. Savnns.  I On the Calculation of International Roughness Index from Longitudinal Road Profile , 2022 .

[7]  W Ronald Hudson,et al.  EVALUATION OF ROUGHNESS SYSTEM OF AUTOMATIC ROAD ANALYZER , 1994 .

[8]  William H. Press,et al.  Numerical Recipes in FORTRAN - The Art of Scientific Computing, 2nd Edition , 1987 .

[9]  Steven M. Karamihas,et al.  Guidelines for longitudinal pavement profile measurement , 1999 .

[10]  W R Hudson,et al.  EVALUATION AND IMPLEMENTATION OF THE ROUGHNESS MEASURING SUBSYSTEM OF THE ARAN UNIT , 1991 .

[11]  T D Gillespie,et al.  Guidelines for the conduct and calibration of road roughness measurements , 1984 .

[12]  M. Y. Shahin,et al.  Pavement Management for Airports, Roads, and Parking Lots , 2006 .

[13]  Lu Sun,et al.  Simulation of pavement roughness and IRI based on power spectral density , 2003, Math. Comput. Simul..

[14]  W R Hudson,et al.  SPEED EFFECT ANALYSIS AND CANCELING MODEL OF A RESPONSE-TYPE ROAD ROUGHNESS MEASURING SYSTEM , 1990 .

[15]  Chiu Liu,et al.  ROAD PROFILES, VEHICLE DYNAMICS, AND HUMAN JUDGMENT OF SERVICEABILITY OF ROADS: SPECTRAL FREQUENCY DOMAIN ANALYSIS , 1998 .

[16]  M S Janoff.  Pavement Roughness and Rideability Field Evaluation , 1988 .

[17]  A. W. M. van den Enden,et al.  Discrete Time Signal Processing , 1989 .

[18]  Eldon J. Yoder,et al.  PAVEMENT PROFILE AND ROUGHNESS MEASUREMENTS (A REVIEW OF METHODS) , 1960 .

[19]  William H. Press,et al.  Numerical recipes in C. The art of scientific computing , 1987 .

[20]  C. Genest,et al.  Everything You Always Wanted to Know about Copula Modeling but Were Afraid to Ask , 2007 .

[21]  James C Wambold,et al.  EVALUATION OF COMPUTATION METHODS FOR ACCELEROMETER-ESTABLISHED INERTIAL PROFILING REFERENCE SYSTEMS (WITH DISCUSSION AND CLOSURE) , 1992 .