Driver behavior modeling based on database of personal mobility driving in urban area
Driver behavior modeling based on database of personal mobility driving in urban area
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DOI：
10.1109/iccas.2008.4694252
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发表时间：
2008-12
期刊：
影响因子：
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通讯作者：
Kazunari Inata;P. Raksincharoensak;Masao Nagai
中科院分区：
文献类型：
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作者：
Kazunari Inata;P. Raksincharoensak;Masao Nagai
为开发个性化驾驶员自适应辅助系统，提出了基于城市驾驶数据的单人微型电动汽车纵向驾驶行为建模方法。该系统使我们能够实现一个实用的合作安全系统，适合个人的操纵行为在现实世界的交通情况。首先，利用微型电动汽车搭载的连续传感式行驶记录仪进行了城市道路行驶试验。接下来，将用于纵向车辆控制的人的踏板操作分成几种模式。因此，通过基于所收集的城市驾驶数据建立每个操作模式的输入-输出关系和模式切换规则来制定驾驶员模型。实验结果表明，所提出的驾驶员模型能够有效地描述驾驶员踏板操作。最后，所提出的驾驶员模型应用于检测匆忙驾驶基于模型的估计踏板操作和在匆忙驾驶情况下的测量值之间的比较。
This paper proposes the modeling of longitudinal driving behavior based on urban driving data of one-person micro-scale electric vehicle for developing the personalized driver adaptive assistance system. The system enables us to realize a practical cooperative safety system that suits individual maneuvering behavior in real-world traffic situation. First, the urban driving data is collected by on-road experiments using continuous sensing drive recorder equipped in the micro-scale electric vehicle. Next, the human pedal operation for longitudinal vehicle control is divided into several modes. Consequently, the driver model is formulated by setting up the input-output relationship of each operation mode and the mode switching rules based on the collected urban driving data. It is proved that the proposed driver model is effective to express driver pedal operation. Finally, the proposed driver model is applied to detect hurry driving by comparison between the model-based estimated pedal operation and the measured value in hurry driving situation.