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 …

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 …

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 …

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 …

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 …

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 …

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 …

Real-time traffic flow estimation is important for online traffic control and management. The
traffic state estimator optimally matches traffic measurements from detectors with traffic flow …

The objective of this paper is to present a new analytical tool that predicts highway
congestion in real time by utilizing a macroscopic traffic flow model, and to investigate a data …

Short term traffic flow forecasting has received sustained attention for its ability to provide the
anticipatory traffic condition required for proactive traffic control and management. Recently …