Anzeige
Erschienen in:
2016 | OriginalPaper | Buchkapitel
Network-Wide Mesoscopic State Estimation Based on a Variational Formulation of the LWR Model and Using Lagrangian Observations
verfasst von : Yufei Yuan, Aurélien Duret, Hans van Lint
Erschienen in: Traffic and Granular Flow '15
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
This paper presents a generic data assimilation framework based on a mesoscopic-LWR model formulated in Lagrangian-space coordinates and using Lagrangian observations. This is a challenging work since probe trajectories are not directly related to specific vehicle/platoon indexes in the simulation model. Therefore, we develop a method to incorporate probe information and to further estimate states. The proposed method has been validated on a homogeneous road stretch, and it provides promising results for further extension of the framework.