… Kalman filter for predicting traffic flow at urban arterials based on data obtained from
connected vehicles… In this paper, a Kalman filter is developed to predict the traffic flow of each …

… Under the connected vehicles environment, we use a GNSS/ DSRC integration frame to
achieve a desired overall efficiency derived by the vehicular communication. It is expected that …

… 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%. …

… Based on the collocated data, a CV environment and the Kalman filtering algorithm were
developed with the Vissim COM interface (47) and MATLAB, respectively. Vissim (46) and …

… Abstract—This paper proposes a new Kalman filter based … of a wireless channel in autonomous
vehicles. The path loss is … dynamic environments and widen the range of applications. …

… the connected vehicle environment and the implementation of the Kalman filter algorithm was
… required for the online implementations of the Kalman filter algorithm, it was compiled as a …

… Kalman Filter in this paper, we use a real-life case study of the Melbourne city, Australia,
which is a testbed of a connected vehicle … of 6 km 2 urban environment including local, arterial, …

… Kalman Filter with attenuation factor is proposed to restrain noise in this paper. The algorithm
… on the basis of adaptive Kalman filter to suppress the influence of environmental noise, to …

… , Kalman filtering technique is used to estimate traffic states. Kalman filtering [15] is an algorithm
… in a mixed traffic environment,” IEEE Transactions on Intelligent Transportation Systems, …

… The algorithm applied a Kalman Filter to estimate cumulative travel time under a low market
penetration rate. The phasing with highest combined travel time was set to be the next phase…