The invention provides a lane-level variable speed limit individual compliance prediction method based on time sequence trajectory data. The method comprises the following steps: inputting a driving behavior characteristic parameter matrix into a constructed driver individual compliance prediction model to obtain a driver compliance level; the problems that in the prior art, traditional traffic variable speed limit control cannot perform speed limit optimization according to the individual compliance degree of a driver, and the current vast expressways equipped with variable speed limit control systems cannot obtain the individual vehicle compliance degree are solved.
本发明提供了一种基于时序轨迹数据的车道级可变限速个体遵从度预测方法,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遵从度等级。本发明解决了现有技术中传统交通可变限速控制无法根据驾驶人个体遵从度进行限速优化和当前广大装备了可变限速控制系统的高速公路无法获取个体车辆遵从度的问题。
Lane-level variable speed limit individual compliance prediction method based on time sequence trajectory data
基于时序轨迹数据的车道级可变限速个体遵从度预测方法
2023-10-27
Patent
Electronic Resource
Chinese
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