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Geometric optimization of a beam detector for a WIM system

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Abstrakty
EN
Weigh-in-Motion (WIM) systems are designed for weighing vehicles driving across a measurement site. Because during measurements the vehicle has to come in physical contact with the components of the system, WIM systems always use built-in sensors installed in road pavement. Each WIM system consists of force sensors placed in one, two or even several lines, perpendicular to the direction of traffic. The idea behind WIM systems is to measure the dynamic loads that the wheels of a moving vehicle exert on the road surface and, on this basis, to estimate static wheel loads as well as gross vehicle weight.
Twórcy
  • Lublin University of Technology, Ul. Nadbystrzycka 36, 20-618 Lublin, Poland
  • Department of Materials Engineering, Lublin University of Technology, ul. Nadbystrzycka 36, 20-618 Lublin, Poland
  • Departament of Machine Design and Mechatronics, Lublin University of Technology, ul. Nadbystrzycka 36, 20-618 Lublin, Poland
Bibliografia
  • 1. Burnos, P., et al. Accurate weighing of moving vehicles. Metrology and Measurement Systems. vol. 14 no. 4, 2007, 507–516.
  • 2. Burnos P.,. Auto-calibration and temperature correction of WIM systems. Proceedings of the International conference on Heavy Vehicles: 5th International Conference on Weigh-in-Motion of Heavy Vehicles. 2008, 437–446.
  • 3. Cebon, D. Design of multiple-sensor weigh-in-motion systems. Journal of Automobile Engineering, Proc. I. Mech. E., 204, 1990, 133 – 144.
  • 4. Cebon, D., Winkler CB. Multiple-Sensor WIM: Theory and experiments, Transportation Research Record, TRB, 1311, 1991, 70 -78.
  • 5. Cole, D.J., Cebon, D. Performance and application of a capacitive strip tire force sensor. 6th International Conference on Road Traffic Monitoring and Control. IEE, London, 1992, 123-127.
  • 6. Dolcemascolo V., Jacob B. Multiple sensor Weigh- In-Motion: Optimal Design and Experimental Study. Pre-proceedings of 2nd European Conference of Weigh in Motion of Road Vehicles, Lisbon, 1998, 129-138,.
  • 7. Gajda J. Statistical calibration of WIM systems. Scientific Series of Rzeszów Politechnic, Electrotechnic, nr 27, 2004 (in Polish).
  • 8. Gajda J., Burnos P. Self-calibration of the weigh-in-motion systems. Proceedings of XV Symposium Modelling and Simulation of Measurement Systems. 2005 (in Polish).
  • 9. Gajda, J., et al.,. Accuracy analysis of WIM systems calibrated using pre-weighed vehicles method. Metrology and Measurement Systems. vol. 14, no. 4, 2007, 517–527.
  • 10. Hoose N., Kunz J., 1998. Implementation and tests of quartz crystal sensor WIM system. Proceedings of 2nd European Conference „Weigh in Motion of Road Vehicle”, Lisbon, 1998, 461-466.
  • 11. Huhtala, M.,. Factors Affecting Calibration Effectiveness. Proceedings of the Final Symposium of the Project WAVE, Paris. 1999
  • 12. Jacob B. Weigh-in Motion of Road Vehicle. Final Report of COST 323 action, ver. 3.0. 1999.
  • 13. Mangeas, M., Glaser S., Dolcemascolo V. Neural networks estimation of truck static weights by fusing weight-in-motion data. Proc. of Eurofusion, 2000.
  • 14. Stanczyk, D. New Calibration Procedure by Axle Rank. Proceedings of the Final Symposium of the Project WAVE, Paris, 1999
  • 15. http://www.traffic-1.pl
  • 16. http://przeglad-its.pl/2012/04/30/detektory-w-systemach-wim/
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
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Bibliografia
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bwmeta1.element.baztech-ada1f891-7fd9-408f-832f-1a098242c209
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