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Identification of Mode Switching Condition in Overtaking Behavior Using Variable-Free Logistic Regression Model

机译:使用无变变量逻辑回归模型识别超前行为中的模式切换条件

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摘要

This paper presents an identification of mode switching condition in the overtaking behavior on the express way. The key idea is to introduce a logistic regression model without any prior assumption on the input variables. First of all, the overtaking behavior is observed, and set of possible candidates of the variables are specified. Then, by applying the model selection technique, a minimum set of necessary variables is found together with their corresponding coefficients. Finally, the obtained model is verified by applying the model to the behavior prediction in the overtaking behavior on the driving simulator.
机译:本文在快递方式上展示了超前行为中的模式切换条件的识别。关键的想法是引入一个Logistic回归模型,而没有在输入变量上的任何先前假设。首先,观察到超前行为,并指定了一组可能的变量候选。然后,通过应用模型选择技术,与它们的相应系数一起找到至少一组必要的变量。最后,通过将模型应用于驾驶模拟器上的超前行为中的行为预测来验证所获得的模型。

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