… , HA), 卡尔曼滤波模型(Kalman filtering, KF)及求和自回归滑动平均… Short-term traffic flow
prediction using seasonal ARIMA model … Short term traffic prediction on the UK motorway network …

… the correlation between vehicle trajectory and traffic flow at frequent congestion points, and
uses Kalman filter to make short-term predictions of the associated traffic flow. Furthermore, it …

… ) and extended Kalman filtering (EKF) to … traffic flow for medium-to-long term traffic periods
may significantly differ from previous short-term traffic periods, hence the mentioned prediction …

… focused on the traffic flow prediction on the freeways, modeling traffic flow in urban arterials
is … a flow prediction model which forecasts the short-term traffic flows based on the traffic data …

… maps with ARIMA time series models to forecast traffic flow[J]. … Short-term traffic volume
forecasting using Kalman filter with … Study of traffic flow prediction based on wavelet analysis and …

… sign recognition, and short-term traffic flow prediction were reviewed. … , Kalman filter, error
back propagation neural network, and long-term and short-term memory network algorithms …

… Abstract: Short-term traffic forecasting is an important part of contemporary intelligent … In
this paper, based on echo state network, a procedure is proposed to provide a forecast of traffic …

… vehicle arrival time prediction in public transportation: integrating sumo and kalman filter …
Short-term traffic flow prediction with lstm recurrent neural network. In: Proceedings of 2017 …

… Research on road average speed prediction model based on Kalman filter[J]. Journal of Zhe…
Research on short-term traffic flow prediction at intersections based on GRU-RNN model [J]. …

… traffic operation state in the model, and the Kalman filter algorithm was used to update the
traffic … DiscreteTime Distributed Kalman Filter Design for Formations of Autonomous Vehicles[J]…