Detection of the Vehicle Direction with Adaptive Threshold Algorithm Using Magnetic Sensor Nodes

Sercan Vançin; Ebubekir Erdem

doi:https://doi.org/10.2339/politeknik.389586

Makale detayları

Detection of the Vehicle Direction with Adaptive Threshold Algorithm Using Magnetic Sensor Nodes

Yazarlar:

Sercan Vançin | Ebubekir Erdem

Yayıncı:

Gazi University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Journal of Polytechnic 2018 Vol.21 Issue 2, pp.333-340

Belge Tipi:

Makale

Yayın Tarihi:

5/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000590618

Sıklık:

Aylık

eISSN:

2147-9429

DOI:

https://doi.org/10.2339/politeknik.389586

Özet:

 


In this paper, we describe how, so as to
perform vehicles direction detection in road traffic using proposed method
along with the average-constant threshold and contributions of adaptive
threshold detection algorithm (ATDA) thanks to special-purpose sensor nodes
integrated with magnetic sensors. In this study, proposed algorithm with the
adaptive threshold value as a magnetic resultant force has produced more
pronounced and precise results than the average-fix threshold value. In this
mean, it is clear that detected adaptive threshold generates more correct
result for the systems like vehicle existence, direction assignment, and speed
detection in different grounds where magnetic field is changeable as a result
of environmental measurements. The direction of motion of the vehicles on the
x-axis was determined as well as whether it was from left to right or from
right to left, and the results were 97% average accurate.  The simplicity of the proposed algorithms,
the absence of any complex computations, the low cost of the sensor node and
integration and the low power depletetion of the communication system show the
avantage of this system in comparison with the other studies. 

.

 


In this paper, we describe how, so as to
perform vehicles direction detection in road traffic using proposed method
along with the average-constant threshold and contributions of adaptive
threshold detection algorithm (ATDA) thanks to special-purpose sensor nodes
integrated with magnetic sensors. In this study, proposed algorithm with the
adaptive threshold value as a magnetic resultant force has produced more
pronounced and precise results than the average-fix threshold value. In this
mean, it is clear that detected adaptive threshold generates more correct
result for the systems like vehicle existence, direction assignment, and speed
detection in different grounds where magnetic field is changeable as a result
of environmental measurements. The direction of motion of the vehicles on the
x-axis was determined as well as whether it was from left to right or from
right to left, and the results were 97% average accurate.  The simplicity of the proposed algorithms,
the absence of any complex computations, the low cost of the sensor node and
integration and the low power depletetion of the communication system show the
avantage of this system in comparison with the other studies. 

.

Makale detayları

Detection of the Vehicle Direction with Adaptive Threshold Algorithm Using Magnetic Sensor Nodes

Yazarlar: Sercan Vançin | Ebubekir Erdem

Yayıncı: Gazi University

Ana Başlıklar: Uygulamalı fizik

Dergi: Journal of Polytechnic 2018 Vol.21 Issue 2, pp.333-340

Belge Tipi: Makale

Yayın Tarihi: 5/2018

Belge Dili: İngilizce

Document ID (Org No.): 2000590618

Sıklık: Aylık

eISSN: 2147-9429

DOI: https://doi.org/10.2339/politeknik.389586

Sayı

Yazarlar:

Sercan Vançin | Ebubekir Erdem

Yayıncı:

Gazi University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Journal of Polytechnic 2018 Vol.21 Issue 2, pp.333-340

Belge Tipi:

Makale

Yayın Tarihi:

5/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000590618

Sıklık:

Aylık

eISSN:

2147-9429

DOI:

https://doi.org/10.2339/politeknik.389586