Mesoscopic traffic state estimation based on a variational formulation of the LWR model in Lagrangian-space coordinates and Kalman filter

Y Yuan, A Duret, H Van Lint - Transportation Research Procedia, 2015 - Elsevier
This paper proposes a new model-based traffic state estimation framework using the LWR
model formulated in vehicle number–space (Lagrangian–space) coordinates. This …
被引用次数：40 相关文章

Mesoscopic Traffic State Estimation based on a Variational Formulation of the LWR Model in Lagrangian-space Coordinates and Kalman Filter

Y Yuan, A Duret, H Van Lint - Transportation Research Procedia, 2015 - trid.trb.org
This paper proposes a new model-based traffic state estimation framework using the
Lighthill-Whitham-Richards (LWR) model formulated in vehicle number–space (Lagrangian …
[PDF] academia.edu

[PDF][PDF] Mesoscopic traffic state estimation based on a variational formulation of the LWR model in Lagrangian-space coordinates and Kalman filter

Y Yuan, A Duret, H van Lint - Transportation Research Procedia, 2015 - academia.edu
This paper proposes a new model-based traffic state estimation framework using the LWR
model formulated in vehicle number–space (Lagrangian–space) coordinates. This …

Mesoscopic Traffic State Estimation based on a Variational Formulation of the LWR Model in Lagrangian-space Coordinates and Kalman Filter

Y Yuan, A Duret, H van Lint - Transportation Research Procedia, 2015 - infona.pl
This paper proposes a new model-based traffic state estimation framework using the LWR
model formulated in vehicle number–space (Lagrangian–space) coordinates. This …
[PDF] cyberleninka.org

[PDF][PDF] Mesoscopic traffic state estimation based on a variational formulation of the LWR model in Lagrangian-space coordinates and Kalman filter

Y Yuan, A Duret, H van Lint - Transportation Research Procedia, 2015 - cyberleninka.org
This paper proposes a new model-based traffic state estimation framework using the LWR
model formulated in vehicle number–space (Lagrangian–space) coordinates. This …

[引用][C] Mesoscopic traffic state estimation based on a variational formulation of the LWR model in Lagrangian-space coordinates and Kalman filter

Y Yuan, A Duret, JWC van Lint - 18th Euro working group on …, 2015 - research.tudelft.nl
Mesoscopic traffic state estimation based on a variational formulation of the LWR model in
Lagrangian-space coordinates and Kalman filter — TU Delft Research Portal Skip to main …

[引用][C] Mesoscopic Traffic State Estimation based on a Variational Formulation of the LWR Model in Lagrangian-space Coordinates and Kalman Filter

Y Yuan, A Duret, H van Lint - Transportation Research Procedia, 2015 - cir.nii.ac.jp
Mesoscopic Traffic State Estimation based on a Variational Formulation of the LWR Model in
Lagrangian-space Coordinates and Kalman Filter | CiNii Research CiNii 国立情報学研究所 …
[PDF] core.ac.uk

[PDF][PDF] Mesoscopic traffic state estimation based on a variational formulation of the LWR model in Lagrangian-space coordinates and Kalman filter

Y Yuan, A Duret, H van Lint - Transportation Research Procedia, 2015 - core.ac.uk
This paper proposes a new model-based traffic state estimation framework using the LWR
model formulated in vehicle number–space (Lagrangian–space) coordinates. This …
[PDF] researchgate.net

[PDF][PDF] Mesoscopic traffic state estimation based on a variational formulation of the LWR model in Lagrangian-space coordinates and Kalman filter

Y Yuan, A Duret, H van Lint - Transportation Research Procedia, 2015 - researchgate.net
This paper proposes a new model-based traffic state estimation framework using the LWR
model formulated in vehicle number–space (Lagrangian–space) coordinates. This …

Mesoscopic traffic state estimation based on a variational formulation of the LWR model in Lagrangian-space coordinates and Kalman filter

Y Yuan, A Duret, H van Lint - Transportation Research Procedia, 2015 - hal.science
Résumé This paper proposes a new model-based traffic state estimation framework using
the LWR model formulated in vehicle number-space (Lagrangian-space) coordinates. This …