Enhancing Weigh-in-Motion Systems Accuracy by Considering Camera-Captured Wheel Oscillations

Sensors, vol. 24, pp. 8151

Abstract

Weigh-in-motion (WIM) systems aim to estimate a vehicle's weight by measuring static wheel loads as it passes at highway speed over roadway-embedded sensors. Vehicle oscillations and the resulting dynamic load components are critical factors affecting measurements and limiting accuracy. As of now, a satisfactory solution has yet to be found. This paper discusses a novel correction approach that fuses WIM sensor data with wheel oscillation captured by cameras. In an experiment, a hard plastic speed bump was placed ahead of a piezoelectric WIM sensor to induce oscillation in trucks crossing the WIM sensor. Three high-speed cameras captured the motion of the wheels. The results show that the proposed method improved the accuracy of the measured gross weight for significant wheel oscillations, while no improvement is observed for smaller oscillation amplitudes.

Authors 4

1. Moritz P. M. Hagmanns corresponding Aachen chair Institute of Highway Engineering

   RWTH Aachen University

   Affiliation as printed

   Chair and Institute of Highway Engineering, RWTH Aachen University, 52074 Aachen, Germany

2. Serge Lamberty Aachen chair Institute of Highway Engineering

   RWTH Aachen University

   Affiliation as printed

   Chair and Institute of Highway Engineering, RWTH Aachen University, 52074 Aachen, Germany

3. Adrian Fazekas

   Federal Highway and Transport Research Institute

   Affiliation as printed

   Federal Highway Research Institute, 51427 Bergisch Gladbach, Germany

4. Markus Oeser

   Federal Highway and Transport Research Institute

   Affiliation as printed

   Federal Highway Research Institute, 51427 Bergisch Gladbach, Germany