Traffic state estimation (TSE) refers to the process of the inference of traffic state variables
(ie, flow, density, speed and other equivalent variables) on road segments using partially …

Traffic density estimation is a very important component of an automated traffic monitoring
system. Traffic density estimation can be used in a number of traffic applications–from …

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 …

In this paper, we evaluate the ability of connected roadside infrastructure to provide traffic
predictions on highways based on the motion of connected vehicles. In particular, we …

Road traffic density estimation provides important information for road planning, intelligent
road routing, road traffic control, vehicular network traffic scheduling, routing and …

In this paper we present a robust mode selector for the uncertain graph-constrained
Switching Mode Model (SMM), which we use to describe the highway traffic density …

An important problem in traffic estimation, forecasting, and control is the reconstruction of
densities in portions of the road links not equipped with sensors. In this paper, and based on …

This article provides an overview of the converging areas of control for autonomous
vehicles, and control of the larger transportation system in which a small number of …

Network-wide traffic control policies determine the optimal values for the different kinds of
controllers equipped on a transportation network, with the objective of reducing delays and …

This work proposes a distributed local Kalman consensus filter (DLKCF) for large-scale multi-
agent traffic density estimation. The switching mode model (SMM) is used to describe the …