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The Problem of Tyre Footprint Width Estimation by Fibre Optic WIM Sensors in Condition of Geometric Complexity

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Dependability Engineering and Complex Systems (DepCoS-RELCOMEX 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 470))

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Abstract

The measuring vehicle’s weigh-in-motion (WIM) is one of the actual research fields of transport telematics. It is important for vehicles classification and identification, as well as overload enforcement, road maintenance planning, cargo fleet managing in intelligent transport systems, control of the legal use of the transport infrastructure, road surface protection from the early destruction and for the safety on the roads. One of sufficient subtasks of WIM is the tyre footprint width estimation for correct contact area calculation. The problem of tyre width estimation by fibre optic sensors (FOS) measuring system is complicated by nonlinearity, and complex interaction dynamics of vehicle’s tyre and the group of sensors. The graphical model of interaction with sloped (diagonal) sensor, its properties, and the tyre width estimation algorithm with correction of geometric interaction are discussed here.

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References

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Acknowledgments

This work was supported by Latvian state research program project “The next generation of information and communication technologies (Next IT)” (2014–2017).

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Correspondence to Alexander Grakovski .

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© 2016 Springer International Publishing Switzerland

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Grakovski, A., Pilipovecs, A. (2016). The Problem of Tyre Footprint Width Estimation by Fibre Optic WIM Sensors in Condition of Geometric Complexity. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Dependability Engineering and Complex Systems. DepCoS-RELCOMEX 2016. Advances in Intelligent Systems and Computing, vol 470. Springer, Cham. https://doi.org/10.1007/978-3-319-39639-2_19

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  • DOI: https://doi.org/10.1007/978-3-319-39639-2_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39638-5

  • Online ISBN: 978-3-319-39639-2

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