The invention belongs to the field of intelligent traffic, and discloses a parameter-adaptive highway time headway distribution estimation method, which comprises the following steps of: S1, extracting time headway data of vehicles passing through different lanes of a target section based on thunder-vision fusion trajectory data of the target section of a highway; s2, fitting the time headway data of the target section by using a three-parameter burr distribution model, and calculating parameters of the three-parameter burr distribution model by using a maximum likelihood estimation method; and S3, establishing a time headway three-parameter burr distribution model with parameter adaptive capability. According to the method, the parameter adaptive time headway distribution model which is flexibly suitable for different time periods and road section conditions of the expressway can be constructed, so that the model can accurately describe the time headway distribution characteristics of the expressway under different conditions by using a small amount of traffic flow parameters.
本发明属于智能交通领域,公开了一种参数自适应的高速公路车头时距分布估计方法,包括:S1.基于高速公路目标截面的雷视融合轨迹数据,提取通过目标截面不同车道车辆的车头时距数据;S2.使用三参数burr分布模型,对目标截面的车头时距数据进行拟合,并使用极大似然估计法计算三参数burr分布模型的参数;S3.建立具有参数自适应能力的车头时距三参数burr分布模型。本发明能构建一种灵活适用于高速公路不同时段、路段条件下的参数自适应车头时距分布模型,使得模型能使用少量交通流参数准确刻画出高速公路不同条件下车头时距的分布特征。
Parameter-adaptive highway time headway distribution estimation method
一种参数自适应的高速公路车头时距分布估计方法
2024-11-26
Patent
Electronic Resource
Chinese
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