The invention discloses a traffic speed prediction method based on traffic flow data fusion. The method comprises the following steps of: (1) data preprocessing, namely performing data preprocessing on original traffic data, including historical traffic speed data and traffic flow data; (2) designing a traffic speed prediction model based on traffic flow data fusion, wherein the traffic speed prediction model comprises a flow prediction layer, a data fusion layer, a space-time analysis layer and a prediction output layer; (3) generating a sample data set and training the traffic speed prediction model, specifically splitting the traffic data obtained based on the step (2), generating a training data set, a verification data set and a test data set, and training the traffic speed prediction model; and (4) predicting a traffic speed in a future time period, namely based on the prediction model obtained by training in the step (3), predicting the traffic speed in the future time period according to the collected traffic data. The invention further comprises a system for implementing the traffic speed prediction method based on traffic flow data fusion.
基于交通流量数据融合的交通速度预测方法,包括如下步骤:(1)数据预处理;对原始交通数据进行数据预处理,包括历史交通速度数据和交通流量数据;(2)基于交通流量数据融合的交通速度预测模型的设计;交通速度预测模型包括流量预测层、数据融合层、时空分析层和预测输出层;(3)样本数据集的生成和交通速度预测模型的训练;拆分基于步骤(2)所得的交通数据,生成训练数据集、验证数据集和测试数据集,训练交通速度预测模型;(4)未来时间段交通速度的预测;基于步骤(3)训练得到的预测模型,根据采集的交通数据,预测未来时间段的交通速度。本发明还包括实施基于交通流量数据融合的交通速度预测方法的系统。
Traffic speed prediction method based on traffic flow data fusion and system
基于交通流量数据融合的交通速度预测方法和系统
2021-12-17
Patent
Elektronische Ressource
Chinesisch
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