Requiring low dissemination delays and thorough vehicles coverage in the vicinity of an
emergency event, Vehicular Ad-hoc NETworks (VANETs) were considered as the most …

The connected automated vehicle has been often touted as a technology that will become
pervasive in society in the near future. One can view an automated vehicle as having …

Intersections are known for their integral and complex nature due to a variety of the
participants' behaviors and interactions. This paper presents a review of recent studies on …

Intersections are the most complex and hazardous areas of the road network, and 89% of
accidents at intersection are caused by driver error. We focus on these accidents and …

This paper proposes a novel approach to risk assessment at road intersections. Unlike most
approaches in the literature, it does not rely on trajectory prediction. Instead, dangerous …

Accurate collision prediction algorithms are important to provide drivers reliable warning
messages. This study introduces a novel approach for collision prediction at intersections …

This work tackles the risk estimation problem from a new perspective: a framework is
proposed for reasoning about traffic situations and collision risk at a semantic level, while …

Abstract Personal Mobility Devices (PMDs) have witnessed an extraordinary surge in
popularity, emerging as a favored mode of urban transportation. This has sparked significant …

Collision warning is one of the most important functions of a vehicle safety system. The
emergence and expansion of the applications of positioning techniques and dedicated short …

The massive and increasing availability of mobility data enables the study and the prediction
of human mobility behavior and activities at various levels. In this paper, we tackle the …