Alternative automatic vehicle classification method

• Autorzy: Burnos P.
• Języki publikacji: EN

Abstrakty

EN

The paper deals with the new method of automatic vehicle classification called ALT (ALTernative). Its characteristic feature is versatility resulting from its open structure, moreover a user can adjust the number of vehicles and their category according to individual requirements. It uses an algorithm for automatic vehicle recognition employing data fusion methods and fuzzy sets. High effectiveness of classification while retaining high selectivity of division was proved by test results. The effectiveness of classification of all vehicles at the level of 95% and goods trucks of 100% is more than satisfactory.

Słowa kluczowe

EN

automatic vehicle classification; ITS; weigh in motion; WIM; fuzzy sets; data fusion

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2010
• Tom: Vol. 17, nr 3
• Strony: 323--333
• Opis fizyczny: Bibliogr. 7 poz., rys., tab., wykr.

Twórcy

autor

Burnos P.

• AGH University of Science and Technology, Department of Instrumentation and Measurements, Al. Mickiewicza 30, 30-059 Cracow, Poland,

Bibliografia

• [1] Traffic Monitoring Guide, Third Edition, FHWA-PL-95-031, USDOT, Federal Highway Administration, Washington, DC, February 1995.
• [2] COST 323 Weigh-in-Motion of Road Vehicles, 1999.
• [3] D. Van Boxel, R. Van Doorn, H. Van Saan: “Vehicle classification - A New Approach”. Post-Proceedings of the Fourth International Conference on Weigh-In-Motion. Taipei, 2005. pp. 195-205.
• [4] J. Kacprzyk: Zbiory rozmyte w analizie systemowej. PWN, Warszawa, 1986. (in Polish)
• [5] Documentation of Fuzzy Logic Toolbox V2.2.11. Mathworks, 2010.
• [6] R. Sroka: Data fusion methods in measurements of road traffic parameters, Kraków, AGH Uczelniane Wydawnictwa Naukowo-Dydaktyczne, 2008.
• [7] P. Burnos, J. Gajda, P. Piwowar, R. Sroka, M. Stencel, T. Żegleń: “Accurate Weighing of moving vehicles”. Metrol. Meas. Syst., vol. XIV, no. 4, 2007, pp. 507-516.