Analysis and synthesis of driving behavior based on mode segmentation
Analysis and synthesis of driving behavior based on mode segmentation
复制标题
基于模式分割的驾驶行为分析与综合
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
S. Inagaki
中科院分区：
文献类型：
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作者：
T. Akita;T. Suzuki;S. Hayakawa;S. Inagaki
本文介绍了基于表达方式作为混合系统（HS）的人类驾驶行为建模的开发，该混合系统遵循了驱动程序。在我们的建模中，DiverPsilas感官信息与驱动程序的输出之间的关系由分段ARX（PWARX）模型表示，该模型是HS类。当感觉输入时，考虑了前面车辆背面（称为KDB）的车辆，范围速率和时间导数之间的范围。同样，踏板操作被视为输出。使用基于聚类的技术解决了PWARX模型的识别问题。通过引入PWARX模型，不仅可以从每个模式下在操作中出现在操作中的参数，而且还可以通过测量的驾驶数据中的逻辑切换（决策制定）条件中的参数。此外，获得的模型被利用用于设计辅助系统，尤其是关注开/关的辅助开关条件。实验证实了所提出的辅助系统的有用性。
This paper presents the development of the modeling of human driving behavior based on an expression as a hybrid system (HS) focusing on the driverpsilas vehicle following task. In our modeling, a relationship between the diverpsilas sensory information and the output of driver is expressed by the piecewise ARX (PWARX) model, which is a class of the HS. As the sensory input, the range between vehicles, range rate, and time derivative of the area of the back of the preceding vehicle (called KdB) are considered. Also, the pedal operation is considered as the output. The identification problem for the PWARX model is solved using the clustering based technique. By introducing the PWARX model, it becomes possible to find not only parameters appearing in the operation in each mode but also parameters in the logical switching (decision making) conditions among them from the measured driving data. Furthermore, the obtained model is exploited for the design of assist system especially focusing on the switching condition of the ON/OFF of assist. The usefulness of the proposed assist system is confirmed by experiments.
DOI：
10.1073/pnas.91.16.7534
发表时间：
1994-08-02
影响因子：
11.1
作者：
MUSSAIVALDI, FA;GISZTER, SF;BIZZI, E
通讯作者：
BIZZI, E