The invention discloses an intelligent traffic road network traffic flow prediction method based on a Bayesian algorithm, and relates to the field of traffic. The intelligent traffic road network traffic flow prediction method based on the Bayesian algorithm comprises the following steps: acquiring preprocessed traffic flow data; acquiring characteristic traffic flow data; acquiring a traffic correlation index; acquiring a traffic flow grade; and obtaining a traffic flow prediction model. The method comprises the following steps: preprocessing initial traffic flow data to obtain preprocessed traffic flow data, carrying out feature extraction to obtain feature traffic flow data, and obtaining a traffic correlation index and a corresponding traffic flow grade according to the feature traffic flow data; and finally, obtaining a traffic flow prediction model according to the characteristic traffic flow data, the traffic correlation index and the corresponding traffic flow grade, thereby achieving the effect of improving the accuracy of the traffic flow prediction result of the traffic network, and solving the problem that the accuracy of the traffic flow prediction result of the traffic network is not high in the prior art.
本发明公开了一种基于贝叶斯算法的智能交通路网交通流预测方法,涉及交通领域。该基于贝叶斯算法的智能交通路网交通流预测方法,包括以下步骤:获取预处理交通流数据;获取特征交通流数据;获取交通相关指数;获取交通流等级;获取交通流预测模型。本发明通过对初始交通流数据进行预处理获取预处理交通流数据并进行特征提取获取特征交通流数据,接着根据特征交通流数据获取交通相关指数和对应的交通流等级,最后根据特征交通流数据、交通相关指数和对应的交通流等级获取交通流预测模型,达到了提高交通路网交通流预测结果的准确性的效果,解决了现有技术中存在交通路网交通流预测结果的准确性不高的问题。
Intelligent traffic road network traffic flow prediction method based on Bayesian algorithm
一种基于贝叶斯算法的智能交通路网交通流预测方法
2024-10-29
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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