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 …
A Duret, Y Yuan - Transportation research part B: methodological, 2017 - Elsevier
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 …
S Fulari, A Thankappan, L Vanajakshi… - Transportation …, 2019 - Taylor & Francis
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 …