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Optimised Autocalibration Algorithm of Weigh-In-Motion Systems for Direct Mass Enforcement.

Piotr Burnos1, Janusz Gajda1

  • 1Department of Measurement and Electronics, AGH University of Science and Technology, 30-059 Krakow, Poland.

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|May 31, 2020
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Summary

Weigh-In-Motion (WIM) systems suffer from environmental interference, impacting accuracy. An optimized autocalibration algorithm significantly improves WIM precision by reducing sensitivity to these factors, enabling reliable mass enforcement.

Keywords:
WIMWeigh-In-Motionaccuracy assessmentautocalibration

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Area of Science:

  • Engineering
  • Metrology

Background:

  • Dynamic vehicle weighing systems, Weigh-In-Motion (WIM), are susceptible to environmental factors like weather.
  • Sensor sensitivity leads to significant precision loss in WIM measurements over short durations.
  • This variability hinders the use of WIM for direct mass enforcement.

Purpose of the Study:

  • To address the environmental sensitivity of WIM systems.
  • To present an optimized autocalibration algorithm for WIM systems.
  • To validate the algorithm's effectiveness through simulations and experimental testing.

Main Methods:

  • Development of an optimized autocalibration algorithm for WIM systems.
  • Conducting simulation studies to evaluate the algorithm's performance.
  • Experimental verification of the algorithm at an in-road WIM site.

Main Results:

  • The autocalibration algorithm effectively limits the sensitivity of WIM results to interfering environmental factors.
  • Simulation studies confirmed the algorithm's efficacy.
  • Experimental results validated the significant improvement in WIM system precision.

Conclusions:

  • Autocalibration is a viable solution to enhance the reliability of WIM systems.
  • Sufficiently high frequency of reference vehicles is crucial for effective autocalibration.
  • The required reference vehicle frequency is dependent on the rate of environmental factor change.