… Most existing demand prediction methods make use of the time series of traffic … predicting
15min volume during the day using not only the traffic flow on the study link but also the traffic …

… dynamic window size approach for traffic prediction that can be incorporated with different
traffic predictions … suitable to online traffic prediction by adapting the amount of traffic that must …

… dynamics. This paper proposes a useful dynamic model to predict the urban traffic volume by
… LSTM to obtain temporal dependencies of traffic volume dynamically in each layer, which is …

… latent space between road connected regions for predicting traffic volume. Several studies
[12, 27, 37] were proposed to smooth the prediction differences for nearby locations and time …

… of traffic parameters including speed, traffic volume and time … the real-time traffic flow status
has an effect on traffic incident … real-time prediction and the employment of dynamic traffic flow …

… As one important part of the hybrid model, the MTGPR model proposed in this article can
also effectively capture the process dynamics and make prediction with a smaller predictive …

… The upper confidence bound for the prediction can be calculated by xt+k + αˆσt+k, where
xt+k is the predicted traffic volume at the next k-th time slot, α is a parameter indicating the …

… G, where T is the length of sequence and D is the number of features of each node (eg,
traffic volume, traffic speed). At each time step t, the graph signal is Xt ∈ RN ×D . Finally, the …

… In this paper, the link traffic volume, historical OD and assignment matrix are treated as
the inputs of the state-space model to predict OD matrix. The state-space model including …

… sensing data for the prediction of traffic volume on nearby roads in … between building sensing
data and traffic data, and the … of accurately predicting traffic volumes using dynamic cross-…