… traffic volume is used as the dynamic feature and air traffic … Comparing the prediction accuracy
of the STGCN model and the … prediction by merging the dynamic features of traffic volume. …

… in traffic prediction, with an emphasis on multivariate traffic time … traffic prediction context
are categorized, and the prediction … research challenges in traffic prediction and discuss some …

… the dynamic bandwidth allocation and renegotiation of network. To solve this problem, this
paper proposes a dynamic prediction scheme of MPEG video traffic. … a dynamic prediction for …

… historical traffic status (ie, traffic volume of each region from 𝑇1 to 𝑇𝑛), we aim to predict the
traffic volume … Hence, our deep traffic prediction model can explicitly model dynamic spatial …

… model for large scale implementation ie, simulation models or dynamic traffic signal controlling
applications which will use traffic prediction under the hood. For this reason ARIMA is run …

… development dynamically and carries … traffic volume, which provides a new path for the
prediction study for the railway passenger market. The simulation result proves that the prediction …

… traffic volume and traffic speed predictions, although our model could be applied to predictions
of other numerical traffic … not represent the dynamic correlations among traffic sensors in …

… short-term traffic volume prediction method by introducing … Fuzhou, the prediction accuracy
of three prediction methods above was … Analysis results indicate that prediction methods and …

… For example, traffic volumes display a marked daily and weekly trend. … The Vector
Autoregressive (VAR) models exploit the dynamic interactions among interrelated time series. VAR …

… This paper forecast the passenger and freight volume according to static and dynamic
elasticity coefficient models. In order to improve accuracy, a grey model and a combined model …