Driver Identification Using Driving Behavior Signals

• WAKITA Toshihiro

  TOYOTA Central R&D Labs., Inc.

• OZAWA Koji

  Graduate School of Information Science, Nagoya University

• MIYAJIMA Chiyomi

  Graduate School of Information Science, Nagoya University

• IGARASHI Kei

  NTT DoCoMo, Inc., NTT DoCoMo R&D Center

• ITOU Katunobu

  Graduate School of Information Science, Nagoya University

• TAKEDA Kazuya

  Graduate School of Information Science, Nagoya University

• ITAKURA Fumitada

  Department of Information Engineering, Meijo University

抄録

In this paper, we propose a driver identification method that is based on the driving behavior signals that are observed while the driver is following another vehicle. Driving behavior signals, such as the use of the accelerator pedal, brake pedal, vehicle velocity, and distance from the vehicle in front, were measured using a driving simulator. We compared the identification rate obtained using different identification models. As a result, we found the Gaussian Mixture Model to be superior to the Helly model and the optimal velocity model. Also, the driver's operation signals were found to be better than road environment signals and car behavior signals for the Gaussian Mixture Model. The identification rate for thirty driver using actual vehicle driving in a city area was 73%.

収録刊行物

• IEICE transactions on information and systems

  IEICE transactions on information and systems 89 (3), 1188-1194, 2006-03-01

  一般社団法人電子情報通信学会

キーワード

• driving behavior
• signal processing
• pattern recognition
• biometrics

詳細情報

• CRID: 1570854176958472448
• NII論文ID: 110004719397
• NII書誌ID: AA10826272
• ISSN: 09168532
• 本文言語コード: en
• データソース種別:
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