Contactless approach to determine pavement skid resistance for Pavement Management System

Abstract

Standard method to assess the pavement profile is to calculate the MPD (Mean Profile Depth) index based on results obtained usually by usage of laser techniques. In analysis the models of the surface pavements have been used in order to calculate the s1, s2, s3 parameters values corresponding to mega-, macro- and microtexture respectively. The values of the developed parameters s1, s2, s3 are calculated from the specific power spectral density values of surface roughness obtained for the threshold pavement roughness wavelength equal to 0.1, 0.05, 0.005 and 0.0005 m. The skid resistance has been correlated to the s1, s2, s3 parameters using 11 varied cases related to asphalt and concrete pavements. Skid resistance tests have been performed using CSR (Continuous Skid Resistance) device with fixed slip ratio equal to 13%. Three different test speed values 45, 65 and 95 km/h have been used. The obtained results lead to factorial correlation equations between developed parameters and skid resistance indices. Correlation results for uncontaminated pavement surface can be characterized by the coefficient of determination values in range between 0.55 and 0.94. The results can be used for contactless determination of pavement skid resistance in Pavement Management System.

A Robotized Raspberry-Based System for Pothole 3D Reconstruction and Mapping

“…Effective maintenance planning also reduces maintenance costs for road managers who face increasing budgetary constraints [2]. Pavement Management Systems (PMSs) are a systematic methodology to assist decision-makers in identifying the best strategy [3]. In this regard, pavement data collection plays a pivotal role and is the most expensive and time-consuming PMS component [4,5].…”