Imperial College London

Dr Ke Han

Faculty of EngineeringDepartment of Civil and Environmental Engineering

Senior Lecturer



+44 (0)20 7594 5682k.han Website CV




Mrs Maya Mistry +44 (0)20 7594 6100




605Skempton BuildingSouth Kensington Campus






BibTex format

author = {Han, K and Yao, T and Jiang, C and Friesz, TL},
doi = {10.1007/s11067-017-9380-z},
journal = {Networks and Spatial Economics},
pages = {1071--1094},
title = {Lagrangian-based Hydrodynamic Model for Traffic Data Fusion on Freeways},
url = {},
volume = {17},
year = {2017}

RIS format (EndNote, RefMan)

AB - 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.
AU - Han,K
AU - Yao,T
AU - Jiang,C
AU - Friesz,TL
DO - 10.1007/s11067-017-9380-z
EP - 1094
PY - 2017///
SN - 1566-113X
SP - 1071
TI - Lagrangian-based Hydrodynamic Model for Traffic Data Fusion on Freeways
T2 - Networks and Spatial Economics
UR -
UR -
VL - 17
ER -