… is a fundamental task for freeway traffic … traffic state estimation algorithms that were almost
exclusively based on macroscopic traffic flow modeling and (extended) Kalman filtering; see [1…

… 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 …

… Intelligent transport systems for traffic surveillance require some fundamental information
including traffic density. Traffic density is defined as the number of vehicles that occupy one unit …

… on the extended Kalman filter is presented for real-time traffic estimation. The effectiveness
… both the availability of data and highway traffic flow models. For TSE of highway networks, a …

… (20) estimated real-time traffic state using Kalman filter approach based on the cell … real-time
traffic-state estimation (11–14). New cycle length and green times are estimated after every …

… This study aims to develop a conceptually simple framework for motorway traffic estimation
… estimation and multi-source data fusion In traffic state estimation, we seek to estimate the …

… variables are based on the application of Extended Kalman Filtering (EKF) in macroscopic
… traffic flow model and a particle filter traffic state estimation is designed. The particle filters …

… Furthermore, a comparative study using the Extended Kalman Filter (EKF), which is the
most used in the area of traffic state estimators, is proposed in order to demonstrate the …

… the freeway context and has not been applied to the estimation of the urban flow. In general,
traffic state estimation … The Kalman filter uses Gaussian PDFs in order to approximate the …