Freeway traffic state estimation is one of the central components in real-time traffic
management and information applications. Recent studies show that the classic kinematic …

Feedback approach for real-time traffic state estimation on urban road with signalized
intersection is presented. The conventional discretization of kinematic wave model for …

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 …

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 …

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

Reliable road traffic state identification systems should be designed to provide accurate
traffic state information anywhere and anytime. In this paper we propose a road traffic …

To develop mathematical models and estimate their parameters are an essential issue for
studying dynamic behaviors of traffic systems. METANET model is one of the most …

We present a comparison for several filter configurations for freeway traffic state estimation.
Since the environmental conditions on a freeway may change over time (eg, changing …

Recent researches have shown the potential benefits of using Lagrangian coordinates in
modeling mobile sensor data such as GPS, Bluetooth, Wi-Fi, and cellphone probe data …