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

Conference Paper (2016)
Author(s)

Yufei Yuan (TU Delft - Transport and Planning)

A Duret (Université de Lyon)

Hans van Lint (TU Delft - Transport and Planning)

Transport and Planning
More Info
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Publication Year
2016
Language
English
Transport and Planning
Pages (from-to)
555-562
Publisher
Springer
ISBN (print)
978-319-33481-3
ISBN (electronic)
978-3-319-33482-0

Abstract

This paper presents a generic data assimilation framework based on a mesoscopic-LWR model formulated in Lagrangian-space coordinates and using both Lagrangian and Eulerian 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.

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