Road Traffic Safety Status Analysis and Prediction Based on Dynamic Bayesian Network
Pengzhi Zhao,
Danyang Geng,
Shaoyi She
et al.
Abstract:Dynamic Bayesian networks can effectively capture dynamic changes and uncertainty relationships in data. Conventional prediction methods do not consider the temporal characteristics between traffic flow sequences, which affects prediction accuracy. This article proposes a method for analyzing and predicting road traffic safety status based on DBN. Firstly, data matching is performed according to the “case-control” sample structure of the matching formula to minimize the influence of other factors on the modeli… Show more
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