… 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 …

… 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 …

… 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. …

… 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%. …

… of an ego vehicle based on Kalman filters. In this approach, the ego vehicle fuses its own …
GPS receiver with position information of nearby vehicles collected by the on-board ranging …

… Furthermore, Kalman filtering and its modifications are usually able to obtain minimum mean
… Thus, Kalman-based methods are widely utilized for state estimation of vehicle systems. …

… of platoon-based connected vehicles, in which vehicles could … updates of the distributed
Kalman filter use a vehicle’s own … in the connected vehicle system, each local Kalman filter will …

… (LMP) of connected vehicles at two fixed locations. Then, the … to a Kalman filter (KF) approach
to estimate the vehicle count … estimate the vehicle count using only connected vehicle data, …