Macroscopic traffic flow models are of paramount importance to traffic surveillance and
control. Before their employments in applications, the models need to be calibrated and …

This introductory paper reviews the current state-of-the-art scientific methods used for
modelling, analysing and controlling the dynamics of vehicular traffic. Possible mechanisms …

Using induced L2-norm minimization, a robust controller was developed for insulin delivery
in Type I diabetic patients. The high-complexity nonlinear diabetic patient Sorensen-model …

Second order macroscopic traffic flow models are often used to replicate non-linear traffic
flow phenomena such as phantom traffic jams or traffic instabilities. In contrast to the (first …

Traffic jams may occur due to various reasons, such as traffic accidents, lane reductions and
on-ramps. In order to suppress the traffic congestion in an optimal velocity traffic model …

Considered in this paper is a novel model-based, coordinated ramp metering strategy. It
aims at maximizing the discharge flow in motorway networks by minimizing the divergence …

The problem of validating the Modéle d'Écoulement de Trafic sur Autoroute NETworks
(METANET) model of a motorway section is considered. Model calibration is formulated as a …

This paper deals with linear parameter varying (LPV) modeling and identification of a
generic, second-order freeway traffic flow model. A non-conventional technique is proposed …

The paper suggests a novel alternative to generalized traffic incident descriptions within the
macroscopic traffic model framework. The contribution of the paper is twofold. First, by …

It has not been an easy start. However, in hindsight, doing a PhD was the right choice that I
have made. Indeed the “tour” has demanded me perseverance and hard work, as it has …