基于二元Logistic回归的犹豫区判别模型研究

Model to Identify Dilemma Zone Based on Binary Logistic Regression

以每个周期内最后一个通过和第一个停止的机动车为对象进行观测研究,利用二元Logistic回归理论,建立犹豫区判别模型,同时通过北京市典型交叉口实例获取了国内驾驶特征下的犹豫区判别模型,解决了犹豫区消除设施的工作状态选择问题。

The first stopping car and the last passing car are selected as the target to analyze. The model to identify the dilemma zone is established by using the binary Logistic regression method.The problem whether the hardware would work to eliminate dilemma zone is solved through a virtual model that is suitable to civil driving condition.