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 …

Recently, development in intelligent transportation systems (ITS) requires the input of
various kinds of data in real-time and from multiple sources, which imposes additional …

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 …

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 …

In recent years, rapid advances in information technology have led to various data collection
systems which are enriching the sources of empirical data for use in transport systems …

Urban transport contributes more than a quarter of the global greenhouse gas emissionns
that drive climate change; it also produces significant air pollution emissions. Furthermore …

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

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 …

This paper proposes a method of estimating a traffic state based on probe vehicle data that
contain spacing and position of probe vehicles. The probe vehicles were assumed to …