VEHICLE DETECTOR BASED ON THE MAGNETIC FIELD SENSOR AND THE FIXED-THRESHOLD ALGORITHM IMPLEMENTED VIA FINITE STATE MACHINE

Milan Stojanovic, Ljubomir Vračar

DOI Number
https://doi.org/10.2298/FUEE2501019S
First page
019
Last page
038

Abstract


An automated vehicle detection process is one of the main objectives of Intelligent Transportation Systems. Different technologies, such as inductive loops, video surveillance, or acoustic sensors, are used for vehicle detection. A one of the most effective solution is based on magnetic field measurement. This detection method relies on analysis of the Earth's magnetic field changes induced by ferromagnetic materials inside a vehicle's structure. The vehicle detector composed of the magnetic field sensor used for measurements and the microcontroller with embedded detection algorithm is described in this paper. The detection algorithm compares changes in the magnetic field with a defined fixed-threshold value implemented as the finite state machine. Changing the state of the finite state machine in the defined order means that the vehicle is detected successfully. The method for determining the finite state machine parameters that depend on the fixed-threshold values and frequency of the measurements is described in detail. The vehicle detector is tested in the laboratory environment, and the results show the appropriate detection accuracy compared to the other detection algorithms in the literature.

Keywords

vehicle detector, magnetic field sensor, vehicle detection algorithm, finite state machine, fixed-threshold value

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References


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