Literature DB >> 34883896

Influence of Trajectory and Dynamics of Vehicle Motion on Signal Patterns in the WIM System.

Artur Ryguła1, Andrzej Maczyński1, Krzysztof Brzozowski1, Marcin Grygierek2, Aleksander Konior3.   

Abstract

This paper presents the analyses of the signals recorded by the main sensors of a WIM test station in the cases of abnormal runs (i.e., runs with the changes of trajectory or the dynamics of vehicle motion). The research involved strain gauges which are used for measuring the weight of vehicles, inductive loops, as well as piezoelectric sensors used, inter alia, to detect twin wheels and to determine where a vehicle passes through a station. Since the designers intend the station to be able to implement the direct enforcement function, the selection of runs deviating from the normative ones constitutes an important issue for the assessment of the measurement reliability. The study considered the location of the trajectory of the runs, the dynamics (acceleration/braking) and the trajectory changes. The change in the amplitude and the value of the signal recorded by the strain gauges as a function of the location (position) of the contact between sensor and tires is a noteworthy observation which indicates the need to monitor this parameter in automatic WIM systems. Other tests also demonstrated the influence of the analysed driving parameters on the recorded results. However, by equipping the WIM station with a set of duplicate strain gauges, the measurement errors of the gross weight and axle loads are normally within the accuracy limits of class A(5) stations. Only in the case of accelerating/decelerating, does the error in measuring the load of a single axle reach several per cent.

Entities:  

Keywords:  inductive loops; piezoelectric sensors; strain-gauge sensors; weigh-in-motion

Mesh:

Year:  2021        PMID: 34883896      PMCID: PMC8659441          DOI: 10.3390/s21237895

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

1.  Empirical analysis of gross vehicle weight and free flow speed and consideration on its relation with differential speed limit.

Authors:  Ahmad Abdullah Saifizul; Hideo Yamanaka; Mohamed Rehan Karim
Journal:  Accid Anal Prev       Date:  2011-01-15

2.  Tire⁻Pavement Contact-Aware Weight Estimation for Multi-Sensor WIM Systems.

Authors:  Zhixin Jia; Kaiya Fu; Mengxiang Lin
Journal:  Sensors (Basel)       Date:  2019-04-30       Impact factor: 3.576

  2 in total
  1 in total

1.  Machine Learning Techniques for Increasing Efficiency of the Robot's Sensor and Control Information Processing.

Authors:  Yuriy Kondratenko; Igor Atamanyuk; Ievgen Sidenko; Galyna Kondratenko; Stanislav Sichevskyi
Journal:  Sensors (Basel)       Date:  2022-01-29       Impact factor: 3.576

  1 in total

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