The invention discloses a road traffic accident prediction method. The method comprises the following steps: acquiring road traffic accident data in units of beginning and weather data in units of month; the method comprises the following steps: cleaning and preprocessing road traffic accident data in units of starting based on a distributed Hadoop big data platform to obtain traffic accident data in units of monthly; the method comprises the following steps: training an LSTM road traffic accident prediction model based on an Attention mechanism or an improved LSTM road traffic accident prediction model based on the Attention mechanism on the basis of traffic accident data taking a month as a unit and weather data taking a month as a unit; and obtaining a first road traffic accident prediction model or a second road traffic accident prediction model for predicting future road traffic accidents. The prediction effect of the method is better than that of a BP neural network, an SVR model and other models, the overall effect of the model is good, and the method has important practical significance for improving the road traffic management level.

    本发明公开了一种道路交通事故预测方法,包括:获取以起为单位的道路交通事故数据和以月为单位的天气数据;基于分布式Hadoop大数据平台对以起为单位的道路交通事故数据进行清洗和预处理,获取以月为单位的交通事故数据;基于以月为单位的交通事故数据和和以月为单位的天气数据对基于Attention机制的LSTM道路交通事故预测模型或基于Attention机制的改进LSTM道路交通事故预测模型进行训练,得到用于预测未来的道路交通事故的第一道路交通事故预测模型或第二道路交通事故预测模型。本发明的的预测效果均优于BP神经网络、SVR模型等模型,模型整体效果比较好,对提高道路交通管理水平具有重要的现实意义。


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    Title :

    Road traffic accident prediction method


    Additional title:

    一种道路交通事故预测方法


    Contributors:
    WANG SHUNSHUN (author) / YAN CHANGSHUN (author) / SHAO YONG (author)

    Publication date :

    2023-07-14


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

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



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