The invention discloses a traffic state prediction method and system based on deep learning, and belongs to the field of intelligent traffic, and the method comprises the steps: obtaining a top view of a traffic state prediction space, and dividing the top view into M rows and N columns of grid charts; the interactive traffic command center is used for acquiring historical traffic data of the traffic state prediction space and acquiring a historical traffic jam image set in combination with the grid chart; constructing a traffic state prediction model based on the historical traffic jam atlas; collecting traffic state data of each grid, and obtaining real-time traffic data; and obtaining a real-time traffic map according to the real-time traffic data and the grid map, inputting the real-time traffic map into the traffic state prediction model, obtaining a traffic state prediction result, and displaying the traffic congestion state of the traffic state prediction space on the map according to the shade of the color. The technical problem that the traffic state cannot be visually and accurately predicted in the prior art is solved, and the technical effect of accurately and visually predicting the traffic state in real time is achieved.

    本发明公开了基于深度学习的交通状态预测方法及系统,属于智慧交通领域,其中方法包括:获取交通状态预测空间的俯视图,并将其划分为M行N列的网格图;交互交通指挥中心,获取交通状态预测空间的历史交通数据,结合网格图获取历史交通拥堵图集;基于历史交通拥堵图集,构建交通状态预测模型;采集各网格的交通状态数据,获取实时交通数据;根据实时交通数据和网格图获取实时交通图,并输入交通状态预测模型中,获取交通状态预测结果,以颜色深浅在地图上显示交通状态预测空间的交通拥堵状态。本申请解决了现有技术中无法直观、精确预测交通状态的技术问题,达到了准确、实时、直观地预测交通状态的技术效果。


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    Title :

    Traffic state prediction method and system based on deep learning


    Additional title:

    基于深度学习的交通状态预测方法及系统


    Contributors:
    YAN JUN (author) / HUO JIANJIE (author)

    Publication date :

    2023-11-10


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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