Traffic congestion on motorways is a serious threat for the economic and social life of
modern society as well as for the environment, which calls for drastic and radical solutions …

We develop a Kalman filter for predicting traffic flow at urban arterials based on data
obtained from connected vehicles. The proposed algorithm is computationally efficient and …

This paper addresses real-time joint traffic state and model parameter estimation on
freeways using data from fixed sensors and connected vehicles. It investigates how the …

Aiming at operating effectively future traffic systems, we propose here a novel methodology
for integrated lane-changing and ramp metering control that exploits the presence of …

Observability and controllability are two critical requirements for a partially observable
transportation system. This paper proposes a stepwise signal optimization framework with …

The ability to obtain accurate estimates of city-wide urban traffic patterns is essential for the
development of effective intelligent transportation systems and the efficient operation of …

Cooperative Adaptive Cruise Control (CACC) systems can increase roadway capacity, but
the benefits are marginal at low market penetration rates (MPRs). Thus, a CACC dedicated …

The recently introduced TrafficFluid concept proposes that automated vehicles drive lane-
free, thus enabling capacity sharing between the two opposite road directions via real-time …

Traffic state prediction forms the basis for effective and efficient traffic control and
management strategies. A model-based traffic state prediction approach based on a …

Abstract A Model Predictive Control (MPC) strategy for motorway traffic management, which
takes into account both conventional control measures and control actions executed by …