… We develop a Kalman filter for predicting traffic flow at urban arterials … Kalman filter technique
to predict traffic flows approaching an intersection based on the data of connected vehicles. …

… In this section, Kalman filtering technique is used to estimate traffic states. Kalman filtering
[15] is an algorithm that integrates measurements and model-based predictions. Both of them …

… technique, the measurement update process of a standard CKF is modified as the
development of a robust UKF [31] and CDKF [40], and a robust nonlinear cubature Kalman filter is …

… Information fusion method of INS/GPS navigation system based on filtering technology is a
… information, a navigation technology based on Adaptive Kalman Filter with attenuation factor …

… as connected vehicles and Bluetooth sensors, this paper develops a Kalman Filter (KF)
technique to predict the traffic flow by fusing two sources of traffic data, ie connected vehicles and …

… Extended Kalman filter and nonlinear vehicle dynamics are employed in [17] for speed … are
challenges for the vehicle model-based approaches, are not addressed in these methods. A …

… , 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 …

… state estimation method using connected vehicles and a single detector based on Kalman
filtering and RTS smoothing is proposed. The important features of the proposed method are …

… method for autonomous cars … method is based on the fusion of lidar and radar measurement
data for object detection, a pole-like landmarks probabilistic map and a tailored particle filter …

… of connected vehicles at two fixed locations. Then, the estimated values are used as inputs to
a Kalman filter (KF) approach to estimate the vehicle … of connected vehicle (CV) technology, …