This paper is concerned with highway traffic estimation using traffic sensing data, in a Lagrangian-based modeling framework. We consider the Lighthill-Whitham-Richards (LWR) model (Lighthill and Whitham, 1955; Richards, 1956) in Lagrangian-coordinates, and provide rigorous mathematical results regarding the equivalence of viscosity solutions to the Hamilton-Jacobi equations in Eulerian and Lagrangian coordinates. We derive closed-form solutions to the Lagrangian-based Hamilton-Jacobi equation using the Lax-Hopf formula (Daganzo, 2005; Aubin et al., 2008), and discuss issues of fusing traffic data of various types into the Lagrangian-based H-J equation. A numerical study of the Mobile Century field experiment (Herrera et al., 2009) demonstr...
On freeways, congestion always leads to capacity drop. This means the queue discharge rate is lower ...
ii THE GRADUATE COLLEGE We recommend the thesis prepared under our supervision b
The research presented in this dissertation is motivated by the need for well-posed mathematical mod...
The paper proposes a model-based framework for estimating traffic states from Eulerian (loop) and/or...
The kinematic wave model, also known as the Lighthill–Whitham– Richards, or LWR, model (1, 2), is us...
AbstractThis paper proposes a new model-based traffic state estimation framework using the LWR model...
The purpose of this study is to develop a traffic estimation framework which combines different data...
Traditionally, one of the ways traffic flow has been studied is by using the kinematic wave model. T...
The traffic state estimation process estimates various traffic states from available data in a road ...
This article is motivated by the practical problem of highway traffic estimation using velocity meas...
This dissertation is motivated by the practical problem of highway traffic estimation using velocity...
26 pagesInternational audienceThis paper deals with numerical methods providing semi-analytic soluti...
We present a semi-Lagrangian scheme for the approximation of a class of Hamilton-Jacobi-Bellman equa...
This dissertation presents a new convex optimization-based estimation framework for systems modeled ...
We show how to view the standard Follow-the-Leader (FtL) model as a numerical method to compute nume...
On freeways, congestion always leads to capacity drop. This means the queue discharge rate is lower ...
ii THE GRADUATE COLLEGE We recommend the thesis prepared under our supervision b
The research presented in this dissertation is motivated by the need for well-posed mathematical mod...
The paper proposes a model-based framework for estimating traffic states from Eulerian (loop) and/or...
The kinematic wave model, also known as the Lighthill–Whitham– Richards, or LWR, model (1, 2), is us...
AbstractThis paper proposes a new model-based traffic state estimation framework using the LWR model...
The purpose of this study is to develop a traffic estimation framework which combines different data...
Traditionally, one of the ways traffic flow has been studied is by using the kinematic wave model. T...
The traffic state estimation process estimates various traffic states from available data in a road ...
This article is motivated by the practical problem of highway traffic estimation using velocity meas...
This dissertation is motivated by the practical problem of highway traffic estimation using velocity...
26 pagesInternational audienceThis paper deals with numerical methods providing semi-analytic soluti...
We present a semi-Lagrangian scheme for the approximation of a class of Hamilton-Jacobi-Bellman equa...
This dissertation presents a new convex optimization-based estimation framework for systems modeled ...
We show how to view the standard Follow-the-Leader (FtL) model as a numerical method to compute nume...
On freeways, congestion always leads to capacity drop. This means the queue discharge rate is lower ...
ii THE GRADUATE COLLEGE We recommend the thesis prepared under our supervision b
The research presented in this dissertation is motivated by the need for well-posed mathematical mod...