In this paper, a traffic volume prediction model is formulated through Kalman filtering theory. The traffic volumes of the next time interval are forecasted with the detected data collected in Changchun, China, which shows that the prediction model has good performance in real-time prediction.
A real-time isoparametric traffic volume prediction model based on the Kalman filtering theory
01.01.1999
251079 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
A Real-time Isoparametric Traffic Volume Prediction Model Based on the Kalman Filtering Theory
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