This study presents a thorough microscopic simulation investigation of a recently developed
model-based approach for per-lane density estimation, as well as on-ramp and off-ramp flow …

A model-based traffic state estimation approach is developed for per-lane density estimation
as well as on-ramp and off-ramp flows estimation for highways in presence of connected …

This paper presents a thorough microscopic simulation investigation of a recently proposed
methodology for highway traffic estimation with mixed traffic, ie, traffic comprising both …

The paper proposes a model-based framework for estimating traffic states from Eulerian
(loop) and/or Lagrangian (probe) data. Lagrangian-Space formulation of the LWR model …

We present a macroscopic model-based approach for estimation of the total density and flow
of vehicles, for the case of" mixed" traffic, ie, traffic comprising both ordinary and connected …

We present a macroscopic model-based approach for the estimation of the total density and
flow of vehicles, for the case of “mixed” traffic, ie, traffic comprising both ordinary and …

This article presents a procedure to estimate the macroscopic traffic state in a pre-defined
space-time mesh using relative flow data collected by stationary and moving observers. The …

Macroscopic model-based schemes are appropriate for real-time estimation of traffic density,
which is an important congestion indicator. Conservation of vehicles equation is one of the …

This paper presents two case studies where a macroscopic model-based approach for traffic
state estimation, which we have recently developed, is employed and tested. The estimation …

Real-time estimation of the traffic state in urban signalized links is valuable information for
modern traffic control and management. In recent years, with the development of in-vehicle …