… convenience of Lagrangian traffic flow models in traffic state estimation. In this paper, a new
traffic state estimation model by using Lagrangian-space Kalman filter is proposed based on …

… which combines the unscented transformation and the Kalman filter to estimate the state
of a non-linear system, having that in mind the following topics are introduced. …

… Papageorgiou, “Highway traffic state estimation with mixed connected and conventional
vehicles,” … Papageorgiou, “Highway traffic state estimation per lane in the presence of connected …

… There are some works in the literature on traffic state estimation for highway networks both
for static (1, 2, 3, 4), and moving GPS sensors (5, 6). One key issue in all these approaches is …

… Thus, the highway … highway networks covered by such infrastructure, it has become common
practice to perform both system identification of highway parameters (free flow speed, traffic …

… evaluate the proposed traffic state estimation system using … The unknown traffic model
parameters presented in Eq. (3), … traffic state estimators by means of a real time freeway traffic …

… In this section, Kalman filtering technique is used to estimate traffic states. Kalman filtering
[15] is an algorithm that … Horowitz, “Highway traffic state estimation using improved mixture …

… In this paper we study the same highway section with a lane-drop bottleneck as in [11]. …
Immers, “An extended kalman filter application for traffic state estimation using ctm with implicit …

… traffic flow modeling on a freeway network This section describes the employed approach for
dynamic traffic state estimation… implementation of the Unscented Kalman Filter (UKF) used …

… Three representative approaches to the design of freeway traffic state estimators using
mixed sensing data are then investigated, which are based on a first-order, a second-order …