The invention provides a road section congestion condition prediction method and system based on multiple linear regression, and the method achieves the prediction of the congestion condition of a road section in a future time unit through a road section congestion condition prediction model based on the vehicle passing data of urban road checkpoints. Based on the problem of accurate road section congestion condition prediction in an urban area with dense traffic flow and complex roads, abundant and accurate urban checkpoint traffic data are observed and analyzed, and a road section congestion condition prediction model based on periodically changing urban road congestion data is provided. The congestion condition of the road section can be accurately predicted according to the checkpoint data in the city.

    本发明提供一种基于多元线性回归的路段拥堵情况预测方法及系统,利用城市道路卡口的过车数据通过路段拥堵情况预测模型对路段的未来时间单元内的拥堵情况进行预测,基于在交通流密集、道路复杂的城市区域进行准确的路段拥堵情况预测的问题,对丰富且准确的城市卡口交通数据进行观察和分析,提出了基于周期性变化的城市道路拥堵数据的路段拥堵情况预测模型,可以根据城市中卡口数据对路段拥堵情况进行准确预测。


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    Title :

    Road section congestion condition prediction method and system based on multiple linear regression


    Additional title:

    一种基于多元线性回归的路段拥堵情况预测方法及系统


    Contributors:

    Publication date :

    2024-04-30


    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 / G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES



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