Dynamic Vehicle Detection via the Use of Magnetic Field Sensors
AbstractThe vehicle detection process plays the key role in determining the success of intelligent transport management system solutions. The measurement of distortions of the Earth’s magnetic field using magnetic field sensors served as the basis for designing a solution aimed at vehicle detection. In accordance with the results obtained from research into process modeling and experimentally testing all the relevant hypotheses an algorithm for vehicle detection using the state criteria was proposed. Aiming to evaluate all of the possibilities, as well as pros and cons of the use of anisotropic magnetoresistance (AMR) sensors in the transport flow control process, we have performed a series of experiments with various vehicles (or different series) from several car manufacturers. A comparison of 12 selected methods, based on either the process of determining the peak signal values and their concurrence in time whilst calculating the delay, or by measuring the cross-correlation of these signals, was carried out. It was established that the relative error can be minimized via the Z component cross-correlation and Kz criterion cross-correlation methods. The average relative error of vehicle speed determination in the best case did not exceed 1.5% when the distance between sensors was set to 2 m. View Full-Text
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Markevicius, V.; Navikas, D.; Zilys, M.; Andriukaitis, D.; Valinevicius, A.; Cepenas, M. Dynamic Vehicle Detection via the Use of Magnetic Field Sensors. Sensors 2016, 16, 78.
Markevicius V, Navikas D, Zilys M, Andriukaitis D, Valinevicius A, Cepenas M. Dynamic Vehicle Detection via the Use of Magnetic Field Sensors. Sensors. 2016; 16(1):78.Chicago/Turabian Style
Markevicius, Vytautas; Navikas, Dangirutis; Zilys, Mindaugas; Andriukaitis, Darius; Valinevicius, Algimantas; Cepenas, Mindaugas. 2016. "Dynamic Vehicle Detection via the Use of Magnetic Field Sensors." Sensors 16, no. 1: 78.
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