… that applies UCM to monthly traffic volume prediction. Using empirical data from one key
corridor in New Jersey, we compare traffic volume prediction results based on UCM versus the …

… systems (ITS), predicting urban traffic crowd flows is of great … regions, as well as dynamic
temporal relations among various … temporal neural network for predicting traffic crowd flows. Our …

… Furthermore, STDN and [18, 49] consider the local flow information (ie flow from one central
grid to its surrounding 𝑆×𝑆 grids) to facilitate predicting the traffic volume in the central grid, …

… traffic volume in our experiments since the volume can sufficiently reflect the other two factors.
We select four fields: road ID, traffic volume, … We select the traffic data from 2351 lanes of …

… traffic volume has been investigated at different resolution levels and incorporated in the
prediction … in within-day traffic dynamics, only weekday traffic condition observations are …

… However, statistical methods fail to fully consider the spatial characteristics and dynamic
traffic volume changes and are easily disturbed by outliers, thus the low prediction accuracy. …

… dynamic prediction performance of urban road network traffic … A dynamic prediction model
of road network traffic flow based … As the traffic volume increases continuously, the proposed …

… Figure 5 illustrates a group of traffic volume features. As shown in Figure 5(a), if we would
like to predict the traffic volume from interval i0 to interval i1 on day 8, three important parts of …

… vehicular traffic volume driven by a newly designed fast traffic flow prediction scheme. We
… rate and large latency caused by the high dynamics of the network topology in VANETs by …

… dynamic factor model to forecast traffic state for groups of locations. The model decomposes
the grouped traffic … The repeated pattern in the plot of the original traffic volume series and its …