… trajectories at signalized intersections. The main contributions of this study include the
following: (1) Aiming for signalized arterials, a hybrid approach integrating Kalman Filtering (KF) …

… an unscented Kalman filter (UKF)-based method to reconstruct the trajectories at signalized
intersections using sparse probe data of vehicles. We first divide the intersection into …

… intersections are crucial to traffic operation tasks such as signal performance measure and
signal … queue profile at urban signalized intersection using Extended Kalman Filtering (EKF) …

… estimation method based on the combination of Kalman Filtering and shockwave theory
with low-penetration mobile sensor data at signalized intersections. Unlike most of the existing …

… One of the most successful model-driven techniques for TSEs belongs to the type of Bayesian
filters (including Kalman filters), which requires parametric descriptions of the traffic system…

Adaptive signal control system shows strong flexibility and high performance in traffic signal
control compared with other control systems. Even though it still has weaknesses such as in …

… A model-based approach along with a Kalman filter–based estimation scheme was adopted
in this study to estimate queue and delay. The basic equations to determine the number of …

… signalized intersection. In addition, most of them used Extended Kalman Filter (EKF) as
filtering … However, there exist other filters for nonlinear system that have superior performance …

… the number of vehicles traveling along signalized approaches using probe vehicle data
only. The proposed method uses the Kalman Filtering technique to produce reliable vehicle …

… Kalman filtering is the most widely used filtering method in the field of communication, navigation
and guidance and control. The Kalman filter (… applies the Kalman filtering technique to …