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Proper characteristics of the traffic flow is a particularly important issue in the process of optimizing the efficiency of transport networks as well as in the traffic control systems. One of the elementary parameters of traffic flows is the structure of vehicles, which evaluation, in case of the automatic systems, requires the implementation of proper algorithms and methods for vehicle classification. In the paper is presented a method of vehicles classification using the discriminant analysis. Furthermore authors developed a classifier, which aggregate data according to classification 8+1 in accordance with the TLS specifications and according with the classification presented in the specification COST 323. As input dataset to the classification method were used vehicle parameters recorded by the weight in motion systems.
Czasopismo
Rocznik
Tom
Strony
28--31
Opis fizyczny
Bibliogr. 8 poz.
Twórcy
autor
- University of Bielsko-Biala, Willowa 2, 43-309 Bielsko-Biała, Poland
autor
- University of Bielsko-Biala, Willowa 2, 43-309 Bielsko-Biała, Poland
autor
- University of Bielsko-Biala, Willowa 2, 43-309 Bielsko-Biała, Poland
autor
- APM PRO Sp. z o.o., ul. Barska 70, 43-300 Bielsko-Biała, Poland
Bibliografia
- [1] HSUN-JUNG, C., MING-TE, T.: A support vector machine approach to CMOS-based radar signal processing for vehicle classification and speed estimation, in Mathematical and Computer Modelling 58,2013, pp. 438-448.
- [2] HUIYUAN, F., et al.: A vehicle classification system based on hierarchical multi-SVMs in crowded traffic scenes, in Neurocomputing 211, 2016, pp. 182-190.
- [3] LAN W., COIFMAN, B.: Improved vehicle classification from dual-loop detectors in congested traffic, in Transportation Research Part C 46, 2014, pp. 222-234.
- [4] ABDUL RAHIM, N., PAULRAJ, M.P., ADOM, A.H.: Adaptive Boosting with SVM Classifier for Moving Vehicle Classification, in Procedia Engineering 53, 2013, pp. 411 - 419.
- [5] QIANWEI, et al.: A quarter-car vehicle model based feature for wheeled and tracked vehicles classification, in Journal of Sound and Vibration 332, 2013, pp. 7279-7289.
- [6] ZHANBO S., XUEGANG (Jeff) B.: Vehicle classification using GPS data, in Transportation Research Part C 37, 2013, pp. 102-117.
- [7] BURNOS P.: Autokalibracja systemów ważących pojazdy samochodowe w ruchu oraz analiza i korekta wpływu temperatury na wynik ważenia. [On-line]. Available: http://winntbg.bg.agh.edu.pl/rozprawy2/10149/full10149.pdf [date of access: 17.02.2017]
- [8] RYGUŁA, A.: Driving style as a behavioural biometric in the process of user identification and the current analysis of access to the vehicle, in Biometry (2010), 2010, pp. 140-151.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3b49e2c1-d180-44fd-86cc-de1afb7a49d7