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Network-Wide Mesoscopic State Estimation based on a Variational Formulation of the LWR Model and using Lagrangian Observations

Résumé : This paper presents a generic data assimilation framework based on a mesoscopic-LWR model formulated in Lagrangian-space coordinates and using both Lagrangian observations. This is a challenge 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.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01246544
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Submitted on : Friday, December 18, 2015 - 4:40:32 PM
Last modification on : Tuesday, December 8, 2020 - 10:20:49 AM

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  • HAL Id : hal-01246544, version 1

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Yufei Yuan, Aurélien Duret, Hans van Lint. Network-Wide Mesoscopic State Estimation based on a Variational Formulation of the LWR Model and using Lagrangian Observations. Traffic Granular Flow, Oct 2015, DELFT, France. 8 p. ⟨hal-01246544⟩

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