Traffic state estimation is important input to traffic information and traffic management
systems. A wide variety of traffic state estimation methods exist, either data-driven or model …

Traffic state estimation is important input to traffic information and traffic management
systems. A wide variety of traffic state estimation methods exist, either data-driven or model …

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 …

Real-time traffic states and origin-destination (OD) flows are essential inputs for on-line
traffic control and management systems. With the final goal to unify the problem of real-time …

Traffic state estimation and forecasting are central components in dynamic traffic
management and information applications. This paper proposes a traffic state estimation …

Real-time freeway traffic state estimation plays an important role in Dynamic Traffic
Management (DTM) and Advanced Traveler Information Systems (ATIS). One of the model …

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 state estimations and predictions are essential parts for dynamic traffic management
applications. This thesis consists of two parts: firstly the requirements for application of a …

The estimation of the state of traffic provides a detailed picture of the conditions of a traffic
network based on limited traffic measurements and, as such, plays a key role in intelligent …

This paper presents a novel approach for freeway traffic state estimation. Although there is
currently a wide variety of estimation methods, new designs and technologies can still be …