… This article describes how the author have implemented an ARIMA state space representation
and used Kalman filtering for traffic condition predictions. This is an interesting idea. …

… Dynamic prediction of traffic volume through Kalman filtering theory[J]. Transportation Re…
Adaptive Kalman filtering for multi-step ahead traffic flow prediction[C] //Proceedings of the …

… daily traffic flow prediction models are improved by multi-step … Traffic flow prediction using
Kalman filtering technique[J].… Adaptive multikernel SVM with spatial-temporal correlation …

… forecast by BPNN, and then the forecasting results of each component are combined with
BPNN to obtain the final predicted … EEMD is a fully data-adaptive method, which provides an …

… moving average, and Kalman filtering. Non-parametric … Multi-Step prediction of experienced
travel times using agent-… Performance evaluation of an adaptive travel time prediction …

… Explicit model predictive control of dc-dc switched-mode power supplies with extended
Kalman filtering. IEEE Transactions on Industrial Electronics, 2009, 56(6): 1864−1874 …

… Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty …
A multi-step traffic speed forecasting model based on graph convolutional LSTM[C]//…

… Gaussian process modeling and multi-step prediction for time series data in wireless
sensor network environmental monitoring[J]. Journal on Communications, 2015, 36(10): 252-262. …