The Unmanned Aerial Vehicles (UAVs) commonly also known as drones are considered as
one of the most dynamic and multi-dimensional emerging technologies of the modern era …

A real-life motorway in Belgium is studied and a comparison is made between a simulation
of a morning rush hour situation without control and a simulation of a morning rush hour …

To facilitate the development of dynamic activity-based models for transport demand, the
FEATHERS framework was developed. This framework suggests a four-stage development …

There is often a large discrepancy between the questions raised by policy makers and the
responses offered by scientists. Current modeling approaches do not answer some of the …

Many studies nowadays make the effort of determining personal exposure rather than
estimating exposure at the residential address only. While intra-urban air pollution can be …

Owing to their dynamic and multidisciplinary characteristics, Unmanned Aerial Vehicles
(UAVs), or drones, have become increasingly popular. However, the civil applications of this …

Generalized linear models (GLMs) are the most widely used models utilized in crash
prediction studies. These models illustrate the relationships between the dependent and …

Traffic models play an important role in both today's traffic research and in many traffic
applications such as traffic flow prediction, incident detection and traffic control. In this paper …

In both ambient air pollution epidemiology and health impact assessment an accurate
assessment of the population exposure is crucial. Although considerable advances have …

Unmanned aerial vehicles (UAVs), commonly referred to as drones, are one of the most
dynamic and multidimensional emerging technologies of the modern era. This technology …