… Kalman filter for predicting traffic flow at urban arterials based on data obtained from connected
vehicles… prediction since it invokes the connected vehicle data just before the prediction …

… Kalman filter with an adaptive strategy for the key parameter is proposed in this paper for
GNSS/DSRC vehicle … 1) We modify the standard cubature filter frame using a local Huber-…

… Abstract—This paper proposes a new Kalman filter based … of a wireless channel in
autonomous vehicles. The path loss is … A discrete Kalman Filter is used to fuse these two models …

… such as connected vehicles and Bluetooth sensors, this paper develops a Kalman Filter (KF…
fusing two sources of traffic data, ie connected vehicles and Bluetooth sensors. Moreover, to …

… There are other studies focused on using the Kalman Filter technique to … all vehicles on
the roads. Sun et al. [9] presented a vehicle density estimator using a mixture Kalman filtering …

… These Kalman filtering methods: (i) only discuss the … To address these gaps, this study
proposes a Kalman filtering … Then, considering the estimated error, a Kalman filtering method …

… In addition, the last component of our proposed system is using LC Extended Kalman Filter
(LC-EKF) for the fusion of the RISS and the GPS solution to estimate an optimal position. …

… , Kalman filtering is one of the most widely applied methods. Kalman filtering is an efficient
recursive filtering … For a dynamic linear system, Kalman filtering uses a prediction model to …

… Fu, “Kalman filtering with intermittent observations: On the … Sedaaghi, “Improved Kalman
filtering for systems with randomly … connected vehicles and intelligent transportation systems. …

… Kalman filter based on a coupled vehicle model is proposed for PVs state estimation.
Simulation and real vehicle test … Kalman filter, even if the communication rate drops to 37.55%. …