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Accuracy criteria for evaluation of Weigh-in-Motion systems

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Measurement data obtained from Weigh-in-Motion systems support protection of road pavements from the adverse phenomenon of vehicle overloading. For this protection to be effective, WIM systems must be accurate and obtain a certificate of metrological legalization. Unfortunately there is no legal standard for accuracy assessment of Weigh-in-Motion (WIM) systems. Due to the international range of road transport, it is necessary to standardize methods and criteria applied for assessing such systems’ accuracy. In our paper we present two methods of determining accuracy of WIM systems. Both are based on the population of weighing errors determined experimentally during system testing. The first method is called a reliability characteristic and was developed by the authors. The second method is based on determining boundaries of the tolerance interval for weighing errors. Properties of both methods were assessed on the basis of simulation studies as well as experimental results obtained from a 16-sensor WIM system.
Rocznik
Strony
743--754
Opis fizyczny
Bibliogr. 18 poz., rys., tab., wykr., wzory
Twórcy
autor
  • AGH University of Science and Technology, Department of Measurement and Electronics, A. Mickiewicza 30, Cracow 30-059, Poland
autor
  • AGH University of Science and Technology, Department of Measurement and Electronics, A. Mickiewicza 30, Cracow 30-059, Poland
autor
  • AGH University of Science and Technology, Department of Measurement and Electronics, A. Mickiewicza 30, Cracow 30-059, Poland
Bibliografia
  • [1] Raab, C., Partl, M., Partl, A. (2005). Monitoring traffic loads and pavement deformations on a Swiss motorway. Post-proceedings of the Fourth International Conference on Weigh-in-Motion, 301-311.
  • [2] Rys, D., Judycki, J., Jaskula, P. (2015). Analysis of effect of overloaded vehicles on fatigue life of flexible pavements based on weigh in motion (WIM) data. Int. J. Pavement Eng., 1-11.
  • [3] Kulakowski, B. (1994). Vehicle-road interaction. Philadelphia: ASTM International.
  • [4] Sadeghi, J.M., Fathali, M. (2007). Deterioration analysis of flexible pavements under overweight vehicles. J. Transp. Eng., 133(11), 625-633.
  • [5] Pais, J.C., Amorim, S.I.R., Minhoto, M.J.C. (2013). Impact of traffic overload on road pavement performance. J. Transp. Eng., 873-879.
  • [6] Jacob, B., O’Brien, E., Jehaes, S. (2002). COST 323: Weigh-in-Motion of road vehicles - final report. Paris.
  • [7] Cebon, D. (200). Handbook of vehicle-road interaction. CRC Press, Taylor & Francis.
  • [8] Scheuter, F. (1998). Evaluation of Factors Affecting WIM System Accuracy. COST 323 Weigh in Motion of Road vehicles, Proceedings of the Second European conference on WIM.
  • [9] Gajda, J., Burnos, P., Sroka, R. (2018). Accuracy Assessment of Weigh-in-Motion Systems for Vehicle’s Direct Enforcement. IEEE Intell. Transp. Syst. Mag., 88-94.
  • [10] Burnos, P., Rys, D. (2017). The Effect of Flexible Pavement Mechanics on the Accuracy of Axle Load Sensors in Vehicle Weigh-in-Motion Systems. Sensors, 17(9), 2053.
  • [11] Gajda, J. Sroka, R. Stencel, J., Zeglen, T., Piwowar, P., Burnos, P. (2012). Analysis of the temperaturę influences on the metrological properties of polymer piezoelectric load sensors applied in Weigh-in-Motion systems. 2012 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 772-775.
  • [12] Burnos, P., Gajda, J. (2016). Thermal Property Analysis of Axle Load Sensors for Weighing Vehicles in Weigh-in-Motion System. Sensors, 16(12).
  • [13] Slavik, M. (2008). WIM accuracy verification through simulation. Proceedings of the International Conference on Heavy Vehicles, 5th International Conference on Weigh-in-Motion of Heavy Vehicles, 412-422.
  • [14] ASTM, E1318 - 09: Standard specification for highway Weigh-in-Motion (WIM) systems with user requirements and test methods, 2009.
  • [15] Koniditsiotis, C. (2000). Weigh-in-Motion Technology. Sydney.
  • [16] Wilks, S. (1941). Determination of Sample Sizes for Setting Tolerance Limits. Ann. Math. Stat., 12(1), 91-96.
  • [17] Proschan, F. (1953). Confidence and Tolerance Intervals for the Normal Distribution. J. Am. Stat. Assoc., 48(263), 550-564.
  • [18] Measurement Specialties. 2014. http://www.meas-spec.com/
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7f13c1f4-a732-4cbc-9b01-c73934ebc3cb
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