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TRAFFIC STATE PREDICTION SYSTEM BASED ON BAYESIAN NETWORK AND OPERATING METHOD THEREOF

机译:基于贝叶斯网络的交通状态预测系统及其操作方法

摘要

According to an embodiment of the present invention, provided is a Bayesian network-based traffic state prediction system, which comprises: a traffic information input unit receiving traffic information from a plurality of measuring devices; and a traffic state prediction unit setting a Bayesian network structure using the traffic information as an input variable, learning a Bayesian network parameter based on learning data, and probabilistically predicting a traffic state using the Bayesian network structure and the Bayesian network parameter.
机译:根据本发明的实施例,提供了一种基于贝叶斯网络的交通状态预测系统,其包括:交通信息输入单元,其从多个测量装置接收交通信息;以及交通状态预测单元​​使用交通信息作为输入变量来设置贝叶斯网络结构,基于学习数据来学习贝叶斯网络参数,并使用贝叶斯网络结构和贝叶斯网络参数来概率地预测交通状态。

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