Lagrangian-based Hydrodynamic Model for Traffic Data Fusion on Freeways
File(s)Manuscript_final.pdf (580.12 KB)
Accepted version
Author(s)
Han, K
Yao, T
Jiang, C
Friesz, TL
Type
Journal Article
Abstract
This paper conducts a comprehensive study of the Lagrangian-based hydrodynamic model with application to highway state estimation. Our analysis is motivated by the practical problems of freeway traffic monitoring and estimation using multi-source data measured from mobile devices and fixed sensors. We conduct rigorous mathematical analysis on the Hamilton-Jacobi representation of the Lighthill-Whitham-Richards model in the transformed coordinates, and derive explicit and closed-form solutions with piecewise affine initial, boundary, and internal conditions, based on the variational principle. A numerical study of the Mobile Century field experiment demonstrates some unique features and the effectiveness in traffic estimation of the Lagrangian-based model.
Date Issued
2017-12-18
Date Acceptance
2017-11-28
Citation
Networks and Spatial Economics, 2017, 17 (4), pp.1071-1094
ISSN
1566-113X
Publisher
Springer Verlag
Start Page
1071
End Page
1094
Journal / Book Title
Networks and Spatial Economics
Volume
17
Issue
4
Copyright Statement
The final publication is available at Springer via http://dx.doi.org/10.1007/s11067-017-9380-z
Subjects
traffic flow model
Lagrangian coordinates
Hamilton-Jacobi equation
traffic data fusion
Publication Status
Published
Date Publish Online
2017-12-18