Vehicle Detection Condition Improvement Method Using Magnetic Field Shape 


Vol. 42,  No. 10, pp. 2022-2029, Oct.  2017
10.7840/kics.2017.42.10.2022


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  Abstract

This paper is about the analysis of the shapes and intensity of 3-axes magnetic field and enhancement of the detection rate for the accuracy of the vehicle detection. The sensor used for this experiment was a magnetic sensor from Honeywell, which measured various vehicles with different sizes and identified the existences and types of vehicles. However, when large vehicles and compact cars existed at the same time, there was a malfunction in detection and rarely it was impossible to identify according to the relative positions of the sensor and the vehicles. To resolve this problem, the correlation of magnetic field shapes for y-axis and z-axis was analyzed, x2 + y2 and y2 + z2 values were derived and an vehicle detection experiment was conducted for 20 vehicles. In results of changing y2 + z2 value from 6,000 mG to 11,000 mG with 1000 mG interval in the range of detection conditions of 3-axes magnetic field values as 1<(x2+y2)/(y2 + z2) < 5, all 20 vehicles were detected under the condition in which y2 + z2 value is more than 8,000 mG and (x2 + y2) / (y2 + z2) is less than 3. For the objectivity of the experiment, parking and outgoing of vehicles were measured in general parking spaces and demonstrated 95% vehicle detection rate.

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  Cite this article

[IEEE Style]

H. Choi, "Vehicle Detection Condition Improvement Method Using Magnetic Field Shape," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 10, pp. 2022-2029, 2017. DOI: 10.7840/kics.2017.42.10.2022.

[ACM Style]

Hak-Yun Choi. 2017. Vehicle Detection Condition Improvement Method Using Magnetic Field Shape. The Journal of Korean Institute of Communications and Information Sciences, 42, 10, (2017), 2022-2029. DOI: 10.7840/kics.2017.42.10.2022.

[KICS Style]

Hak-Yun Choi, "Vehicle Detection Condition Improvement Method Using Magnetic Field Shape," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 10, pp. 2022-2029, 10. 2017. (https://doi.org/10.7840/kics.2017.42.10.2022)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880