Short-term traffic condition forecasting has long been argued as essential for developing
proactive traffic control systems that could alleviate the growing congestion in the United …

Current or historic traffic states are essential input to advanced traveler information, dynamic
traffic management, and model predictive control systems. As traffic states are usually not …

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 …

Traffic flow measurement is very important for traffic management systems. However, the
existing traditional measurement approaches are highly time-consuming and expensive to …

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 …

Traffic congestion has become a major challenge in recent years in many countries of the
world. One way to alleviate congestion is to manage the traffic efficiently by applying …

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 …

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 …

We present a macroscopic model-based approach for the estimation of the total density and
flow of vehicles, for the case of “mixed” traffic, ie, traffic comprising both ordinary and …

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 …