The invention provides a trajectory data-based global variable speed limit-oriented compliance prediction method, which comprises the following steps of: inputting a driving behavior characteristic parameter matrix into a constructed driver individual compliance prediction model to obtain a driver global compliance level; the method solves the problems that current variable speed limit control only considers a single section, the compliance of the single section is easily influenced by accidental factors, the compliance is too high or too low, and the driving behavior characteristics of a driver cannot be reflected, and traditional traffic variable speed limit control cannot perform speed limit optimization according to the compliance of the driver.
本发明提供了一种基于轨迹数据的面向全局可变限速遵从度预测方法,包括:向构建好的驾驶人个体遵从度预测模型输入驾驶行为特征参数矩阵,得到驾驶人全局遵从度等级。本发明解决了当前可变限速控制仅考虑单一断面,单一断面遵从度容易受偶发因素影响导致遵从度过高或过低不能反应驾驶人驾驶行为特征的问题和传统交通可变限速控制无法根据驾驶人遵从度进行限速优化的问题。
Global variable speed limit compliance prediction method based on trajectory data
一种基于轨迹数据的面向全局可变限速遵从度预测方法
2023-10-13
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
European Patent Office | 2023
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