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Weigh-in-Motion by Fibre-Optic Sensors: Problem of Measurement Errors Compensation for Longitudinal Oscillations of a Truck

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Reliability and Statistics in Transportation and Communication (RelStat 2017)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 36))

Abstract

Recorded signals from a group of fibre-optic sensors of a passing truck with various speeds and known weight of preliminary weighed reference vehicle are used as an input data. Moving vehicle’s dynamics model of “inverted lever pendulum” and the impacts of external conditions (speed of vehicle, temperature, tyre width etc.) as well as the longitudinal and transverse oscillations as the main source of measurement errors are in the focus of this research. The shapes of tyre footprint form, pressure and weight distribution along the footprint length are being estimated and discussed in order to extract and compensate the longitudinal and transverse oscillations of tractor’s, semitrailer’s, each axle’s and wheel’s “gravity centre” with the aim to decrease the estimation errors to the level till 1–2% of each axle’s real weight.

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Acknowledgments

This research was granted by state of Latvia project “The next generation of information and communication technologies (NexIT)” (2014–2017).

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Authors and Affiliations

  1. Transport and Telecommunication Institute, Lomonosova Street 1, 1019, Riga, Latvia

    Alexander Grakovski & Alexey Pilipovecs

Authors
  1. Alexander Grakovski
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  2. Alexey Pilipovecs
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Corresponding author

Correspondence to Alexander Grakovski .

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Editors and Affiliations

  1. Transport and Telecommunication Institute, Riga, Latvia

    Igor Kabashkin

  2. Transport and Telecommunication Institute, Riga, Latvia

    Irina Yatskiv

  3. Vilnius Gediminas Technical University, Vilnius, Lithuania

    Olegas Prentkovskis

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Grakovski, A., Pilipovecs, A. (2018). Weigh-in-Motion by Fibre-Optic Sensors: Problem of Measurement Errors Compensation for Longitudinal Oscillations of a Truck. In: Kabashkin, I., Yatskiv, I., Prentkovskis, O. (eds) Reliability and Statistics in Transportation and Communication. RelStat 2017. Lecture Notes in Networks and Systems, vol 36. Springer, Cham. https://doi.org/10.1007/978-3-319-74454-4_36

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  • DOI: https://doi.org/10.1007/978-3-319-74454-4_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74453-7

  • Online ISBN: 978-3-319-74454-4

  • eBook Packages: EngineeringEngineering (R0)

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