Driver identification using driving behavior signals
Driver identification using driving behavior signals
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DOI：
10.1093/ietisy/e89-d.3.1188
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发表时间：
2005-10
期刊：
影响因子：
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通讯作者：
T. Wakita;K. Ozawa;C. Miyajima;Kei Igarashi;K. Itou;K. Takeda;F. Itakura
中科院分区：
文献类型：
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作者：
T. Wakita;K. Ozawa;C. Miyajima;Kei Igarashi;K. Itou;K. Takeda;F. Itakura
在本文中，我们提出了一种驾驶员识别方法，该方法是基于驾驶员跟随另一辆车时观察到的驾驶行为信号。使用驾驶模拟器测量驾驶行为信号，例如加速踏板、制动踏板的使用、车辆速度和与前车的距离。我们比较了使用不同的识别模型和不同的功能获得的识别率。结果表明，非参数模型优于参数模型。此外，驾驶员的操作信号被发现优于道路环境信号和汽车行为信号。30名驾驶员在市区实际驾驶的识别率为73%。
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, are measured using a driving simulator. We compared the identification rate obtained using different identification models and different features. As a result, we found the nonparametric models is better than the parametric models. Also, the driver's operation signals were found to be better than road environment signals and car behavior signals. The identification rate for thirty driver using actual vehicle driving in a city area was 73%.