Intervention and Causality: Forecasting Traffic Flows Using a Dynamic Bayesian Network
干预与因果关系：利用动态贝叶斯网络预测交通流
Real-time traffic flow data across entire networks can be used in a traffic management system to monitor current traffic flows so that traffic can be directed and managed efficiently. Reliable short-term forecasting models of traffic flows are crucial for the success of any traffic management system. The model proposed in this article for forecasting traffic flows is a multivariate Bayesian dynamic model called the multiregression dynamic model (MDM). This model is an…