The invention relates to the technical field of traffic data processing, in particular to a traffic situation assessment method based on traffic flow parameter prediction, which comprises the following steps: acquiring the traffic flow and average speed of a current road to obtain sample data; carrying out vacancy value filling and abnormal value removal on the sample data to obtain cleaned data; based on the cleaning data, utilizing a deep learning model to predict traffic flow and average vehicle speed in a preset time period to obtain predicted traffic flow and predicted vehicle speed; calculating a first traffic situation level according to the predicted vehicle speed; calculating a second traffic situation level according to the predicted traffic flow; querying congestion evaluation information corresponding to the name of the current road; and carrying out weighted calculation on the first traffic situation level, the second traffic situation level and the congestion evaluation information to obtain a final traffic situation level, thereby solving the problem that the accuracy of a traffic situation evaluation result is reduced because the calculation amount of an existing traffic situation evaluation method is relatively large.
本发明涉及交通数据处理技术领域,具体涉及一种基于交通流参数预测的交通态势评估方法,包括获取当前道路的车流量和平均车速,得到样本数据;对样本数据进行填补空缺值和去除异常值,得到清洗数据;基于清洗数据利用深度学习模型预测预设时间段的车流量和平均车速,得到预测车流量和预测车速;根据预测车速计算第一交通态势等级;根据预测车流量计算第二交通态势等级;查询与当前道路的名称对应的拥堵评价信息;将第一交通态势等级、第二交通态势等级和拥堵评价信息进行加权计算,得到最终交通态势等级,解决了现有的交通态势评估方法的计算量较大,降低了交通态势评估结果的精确度的问题。
Traffic situation assessment method based on traffic flow parameter prediction
基于交通流参数预测的交通态势评估方法
2022-05-13
Patent
Elektronische Ressource
Chinesisch
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