Classification method for vehicles with a maximum permissible weight up to 3.5 tonnes

• Autorzy: Ryguła A. , Konior T. , Piwowarczyk P.
• Języki publikacji: EN

Abstrakty

EN

Detecting and distinguishing vehicles with a maximum permissible weight up to 3.5 tonnes, among others required in the TLS 8+1 classification, due to the similar dimensions of selected vehicle groups is often a relatively complex process that requires the use of extensive classification methods. Detection of commercials vans is particularly important. Their parameters are similar to lorry vehicles and their incorrect classification, eg in systems of weighing vehicles in motion, results in the lack of information on exceeding the permissible total weight. The article presents the selected classification method and its effectiveness.

Słowa kluczowe

EN

vehicle classification; weigh in motion; data mining

PL

klasyfikacja pojazdów; ważenie w ruchu; eksploracja danych

• Wydawca: Polskie Stowarzyszenie Telematyki Transportu
• Czasopismo: Archives of Transport System Telematics
• Rocznik: 2019
• Tom: Vol. 12, iss. 4
• Strony: 27--30
• Opis fizyczny: Bibliogr. 6 poz.

Twórcy

autor

Ryguła A.

• UNIVERSITY OF BIELSKO-BIALA, Willowa 2, 43-309 Bielsko-Biała, Poland

autor

Konior T.

• APM PRO SP. Z O.O. Barska 70, 43-300 Bielsko-Biała, Poland

autor

Piwowarczyk P.

• APM PRO SP. Z O.O. Barska 70, 43-300 Bielsko-Biała, Poland

Bibliografia

• [1] COST JACOB B., O’BRIEN E., JEHAES S.: COST 323 Weighin-Motion of Road Vehicles, 1999, http://www.is-wim.org/doc/wim_eu_specs_cost323.pdf [date of access: 01.01.2019]
• [2] TLS2012. Technische Lieferbedingungen für Streckenstationen. BAST, 2012, http://www.bast.de/DE/Verkehrstechnik/Publikationen/Regelwerke/Unterseiten/V5-tls-2012.pdf?_blob=publicationFile&v=1 [date of access: 01.01.2019]
• [3] Main Road Transport Inspectorate. http://www.gitd.gov.pl [date of access: 01.01.2019]
• [4] RYGUŁA A., et al.: A Method of Vehicle Classification Using Discriminant Analysis, Archives of Transport System Telematics, vol. 10, pp. 28-31, 2016
• [5] LOGA W., BRZOZOWSKI K., RYGUŁA A.: A method of vehicle classification using neural networks. Transport Means 2018: Part 1. Proceedings Kaunas University of Technology i in. : Trakai, 2018.10.03, pp. 263-266
• [6] PEDREGOSA F., et al: Ski Scikit-learn: Machine Learning in Python. JMLR 12, pp. 2825-2830, 2011

Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).