The invention discloses a highway traffic flow prediction method based on ETC portal data, and the method comprises the steps: obtaining the ETC portal data of a highway through an ETC system, carrying out the preprocessing of the ETC portal data through a one-dimensional convolution filter, and extracting the key data of the ETC portal; inputting the extracted key data into a traffic flow early warning model based on a multi-dimensional deep recurrent neural network, and performing real-time prediction analysis on the ETC door frame key data to obtain a traffic flow prediction result; based on the traffic flow prediction result, a traffic control scheme is formulated, traffic management measures are taken according to the traffic control scheme, and the management measures comprise intelligent traffic scheduling, automatic command and congestion control measures. The traffic flow prediction accuracy can be improved, the road traffic efficiency is improved, an efficient and accurate management means is provided for a traffic management department, and convenience is provided for road users.
本发明公开了一种基于ETC门架数据的高速公路车流量预测方法,包括:通过ETC系统获取高速公路的ETC门架数据,利用一维卷积滤波器对ETC门架数据进行预处理操作,提取ETC门架关键数据;将提取的关键数据输入到基于多维深度递归神经网络的交通流量预警模型中,对ETC门架关键数据进行实时预测分析,获取车流量预测结果;基于车流量预测结果,制定交通管控方案,根据交通管控方案对交通进行管理措施,管理措施包括智能交通调度、自动指挥及拥堵控制措施。能够提高交通流量预测准确性,提升道路通行效率,为交通管理部门提供高效、精确的管理手段,并为道路使用者提供便利。
Expressway traffic flow prediction method based on ETC portal frame data
基于ETC门架数据的高速公路车流量预测方法
2023-07-28
Patent
Electronic Resource
Chinese
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