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  1. B200 工学部/工学研究科
  2. B200a 雑誌掲載論文
  3. 学術雑誌

Analysis of Magnetic Signatures for Vehicle Detection Using Dual-Axis Magneto-Impedance Sensors

http://hdl.handle.net/2237/0002011663
http://hdl.handle.net/2237/0002011663
1b351bc6-f86d-4e27-a9cf-08d09c42ad2b
名前 / ファイル ライセンス アクション
FINAL_VERSION.pdf FINAL_VERSION.pdf (3.9 MB)
アイテムタイプ itemtype_ver1(1)
公開日 2024-10-22
タイトル
タイトル Analysis of Magnetic Signatures for Vehicle Detection Using Dual-Axis Magneto-Impedance Sensors
言語 en
著者 Yao, Ruixuan

× Yao, Ruixuan

en Yao, Ruixuan

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Uchiyama, Tsuyoshi

× Uchiyama, Tsuyoshi

en Uchiyama, Tsuyoshi

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アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利
権利情報 “© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”
言語 en
内容記述
内容記述タイプ Abstract
内容記述 The use of magnetic sensors for vehicle detection is proposed as a solution for monitoring traffic owing to its advantages, including ease of setup, low cost, strong resistance to interference, and privacy preservation. In this study, we proposed a vehicle detection system using dual-axis magneto-impedance (MI) sensors, which are placed on the roadside. The bar magnet and magnetic dipole models were proposed for simulating the movement of driving vehicles, and the applicability of both models was discussed. The experiment was conducted on a straight road in Aichi, Japan, and six common vehicle types on urban roads were used. A detection algorithm based on the real-time geomagnetic field was used to automatically detect moving vehicles and extract valid signals. The algorithm achieved a detection accuracy of 91.6% for vehicles driven under normal conditions. The impact of various experimental parameters, including the sensor placement height, measurement distance, and actual driving conditions, on the measurement results was evaluated. The best detection results were achieved when the sensor was placed at a height of 66 cm and was approximately 0.9 m away from the vehicle. Five magnetic features in the time and frequency domains were used to analyze the driving state of vehicles. In the frequency domain, the bandwidth and dominant frequency were confirmed to have a strong correlation with the driving speed, whereas their relationship with the vehicle type and other experimental conditions was relatively weak, making them suitable for speed estimation.
言語 en
出版者
出版者 IEEE
言語 en
言語
言語 eng
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
出版タイプ
出版タイプ AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
関連情報
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/JSEN.2024.3357852
収録物識別子
収録物識別子タイプ PISSN
収録物識別子 1530-437X
書誌情報 en : IEEE Sensors Journal

巻 24, 号 6, p. 8721-8730, 発行日 2024-03-15
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