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

Yufei Yuan (), Aurélien Duret () and Hans van Lint ()
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Yufei Yuan: Delft University of Technology
Aurélien Duret: IFSTTAR-ENTPE, LICIT
Hans van Lint: Delft University of Technology

A chapter in Traffic and Granular Flow '15, 2016, pp 555-562 from Springer

Abstract: Abstract ThisYuan, Yufei paperDuret, Aurélien presentsVan Lint, Hans 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.

Keywords: Data Assimilation; Traffic Flow Model; Supply Time; Assimilation Procedure; Probe Vehicle (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-33482-0_70

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DOI: 10.1007/978-3-319-33482-0_70

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