The invention discloses an intelligent traffic flow data analysis method, and the method specifically comprises the following steps: obtaining an urban road vehicle passing monitoring video, carrying out the preprocessing of the video, and obtaining a video sample; building a vehicle data identification model, inputting the video sample into the vehicle data identification model for identification to obtain the vehicle type and number, and summarizing to obtain a traffic flow data sample; obtaining the traffic flow data sample, carrying out data cleaning by adopting Hadoop MapReduce, and storing the cleaned data in an HBase database in a partition manner; calculating the data by using Spark, and inputting the data into an LSTM neural network model for traffic flow prediction; outputting a prediction analysis result, obtaining a pre-estimated traffic flow and a vehicle type at the same time period, and sending out a congestion early warning; the traffic flow can be quickly identified, the traffic flow data can be analyzed and processed, the future traffic flow condition can be predicted, referenced early warning information can be provided for road traffic, urban intelligent traffic management is facilitated, and the traffic efficiency is improved.
本发明公开了一种智慧交通车流数据分析方法,具体包括以下步骤:通过获取城市道路车辆通行监控视频,对视频进行预处理,得到视频样本;搭建车辆数据识别模型,将所述视频样本输入到车辆数据识别模型中进行识别,得到车辆类型及数量,进行汇总后得到车流数据样本;获取所述车流数据样本,采用HadoopMapReduce进行数据清洗,将清洗完的数据分区存储到HBase数据库中;利用Spark对数据进行计算,将输入LSTM神经网络模型中进行车流量预测;输出预测分析结果,得到同时段预估车流量及车辆类型,发出拥堵预警;本发明能快速识别车流量,并对车流数据进行分析处理,预测未来车流量情况,为道路交通提供可参考的预警信息,便于城市智慧交通管理,提高通行效率。
Intelligent traffic flow data analysis method
一种智慧交通车流数据分析方法
2023-06-02
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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