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

Yufei Yuan; A Duret; Hans van Lint

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

Transport and Planning

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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.

Original language	English
Title of host publication	Traffic and Granular Flow '15
Subtitle of host publication	Proceedings of the 11th Conference on Traffic and Granular Flow, Nootdorp, The Netherlands
Publisher	Springer
Pages	555-562
Number of pages	8
ISBN (Electronic)	978-3-319-33482-0
ISBN (Print)	978-319-33481-3
Publication status	Published - 2016
Event	11th Traffic and Granular Flow Conference - Nootdorp, Netherlands Duration: 27 Oct 2015 → 30 Oct 2015

Conference

Conference	11th Traffic and Granular Flow Conference
Abbreviated title	TGF15
Country/Territory	Netherlands
City	Nootdorp
Period	27/10/15 → 30/10/15

Cite this

@inproceedings{ddf00f4c636b4a5d99b3408cec86bcf8,

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

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. ",

author = "Yufei Yuan and A Duret and {van Lint}, Hans",

year = "2016",

language = "English",

isbn = "978-319-33481-3",

pages = "555--562",

booktitle = "Traffic and Granular Flow '15",

publisher = "Springer",

address = "Germany",

note = "11th Traffic and Granular Flow Conference, TGF15 ; Conference date: 27-10-2015 Through 30-10-2015",

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Yuan, Y, Duret, A & van Lint, H 2016, Network-Wide Mesoscopic State Estimation Based on a Variational Formulation of the LWR Model and Using Lagrangian Observations. in Traffic and Granular Flow '15: Proceedings of the 11th Conference on Traffic and Granular Flow, Nootdorp, The Netherlands. Springer, pp. 555-562, 11th Traffic and Granular Flow Conference, Nootdorp, Netherlands, 27/10/15.

Network-Wide Mesoscopic State Estimation Based on a Variational Formulation of the LWR Model and Using Lagrangian Observations. / Yuan, Yufei; Duret, A; van Lint, Hans.

Traffic and Granular Flow '15: Proceedings of the 11th Conference on Traffic and Granular Flow, Nootdorp, The Netherlands. Springer, 2016. p. 555-562.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Network-Wide Mesoscopic State Estimation Based on a Variational Formulation of the LWR Model and Using Lagrangian Observations

AU - Yuan, Yufei

AU - Duret, A

AU - van Lint, Hans

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

M3 - Conference contribution

SN - 978-319-33481-3

SP - 555

EP - 562

BT - Traffic and Granular Flow '15

PB - Springer

T2 - 11th Traffic and Granular Flow Conference

Y2 - 27 October 2015 through 30 October 2015

ER -

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

Abstract

Conference

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