The invention provides an early warning method and system based on a holiday and festival flow prediction algorithm, and the method comprises the steps: firstly obtaining a traffic data set of a whole year and a whole time period, carrying out the preprocessing, fusing the surrounding environment data and weather data of a highway section with the preprocessed traffic data set, and forming a complete traffic data set; the method comprises the following steps: selecting actual traffic data, establishing an ST-GCN model for training by selecting a preset data granularity and adopting a holiday flow prediction algorithm to obtain an optimal ST-GCN model to predict a plurality of target results, establishing an evaluation index according to the actual traffic data and the plurality of predicted target results, evaluating the ST-GCN model by adopting a comparison model, verifying the ST-GCN model as the optimal model, and determining the actual traffic data according to the evaluation index. According to a plurality of target results predicted by the ST-GCN model which is verified to be the optimal model, in combination with the grade division standard of the expressway operation state, the road condition information is marked with different color information, and a picture is generated for display, so that the passing efficiency of the expressway is effectively improved, and the traffic flow trend during holidays and festivals is efficiently and accurately predicted.
本发明提供了一种基于节假日流量预测算法的预警方法及系统,该方法先获取全年全时段的交通数据集并进行预处理,将高速公路路段的周围环境数据和天气数据与预处理后的交通数据集进行融合,形成完整交通数据集,再选择预设的数据粒度并采用节假日流量预测算法建立ST‑GCN模型进行训练,得到最优ST‑GCN模型以预测多个目标结果,再根据实际交通数据和预测的多个目标结果建立评估指标,采用对比模型对ST‑GCN模型进行评估,验证其为最优模型,根据验证为最优模型的ST‑GCN模型所预测的多个目标结果,结合高速公路运行状态的等级划分标准,将路况信息用不同颜色信息进行标示,并生成图片进行展示,有效提高了高速公路的通行效率,高效准确预测节假日期间的交通流量趋势。
Early warning method and system based on holiday and festival flow prediction algorithm
一种基于节假日流量预测算法的预警方法及系统
2022-06-24
Patent
Electronic Resource
Chinese
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