This paper presents a case study of real-time traffic state estimation. The adopted general
approach to the design of universal traffic state estimators for freeway stretches is based on …

This paper reports on real data testing of a real-time freeway traffic state estimator, with a
particular focus on its adaptive capabilities. The pursued general approach to the real-time …

A general approach to the real-time estimation of the complete traffic state in freeway
stretches is developed based on the extended Kalman filter. First, a general stochastic …

Real-data testing results of a real-time nonlinear freeway traffic state estimator are presented
with a particular focus on its adaptive features. The pursued general approach to the real …

Freeway traffic state estimation and prediction are central components in real-time traffic
management and information applications. Model-based traffic state estimators consist of a …

This paper presents a real-time freeway network traffic surveillance tool RENAISSANCE.
Based on a stochastic macroscopic freeway network traffic flow model and the extended …

The paper presents a unified macroscopic model-based approach to real-time freeway
network traffic surveillance as well as a software tool RENAISSANCE that has been recently …

Traffic information from probe vehicles has great potential for improving the estimation
accuracy of traffic situations, especially where no traffic detector is installed. A method for …

A methodology for the online calibration of the speed–density relationship is formulated as a
flexible state–space model. Applicable solution approaches are discussed and three of them …

This article presents a procedure to estimate the macroscopic traffic state in a pre-defined
space-time mesh using relative flow data collected by stationary and moving observers. The …