The fast and frequent movement of vehicles creates many challenges in vehicular networks,
such as handling regular topological changes. Predicting a vehicle's future location by …

Intelligent Transportation Systems have recently received great deal of attention and
Vehicular networks and its applications represent a major part of ITS. Many vehicular …

Location information is very important for many applications of vehicular networks such as
routing, network management, data dissemination protocols, road congestion, etc. If some …

In recent years, the role of vehicular networks has become increasingly important for the
future of Intelligent Transportation Systems, as they are useful for providing safety …

In recent years, urban population growth and the diversity of vehicles have increased.
Location prediction in VANETs is extremely necessary for consumer applications such as …

Understanding traffic conditions, in an urban environment, by means monitoring or/and
predicting is not an easy task. In Intelligent Transportation Systems, the reliable vehicle route …

This work compares two innovative methodologies to predict the future locations of moving
vehicles when their current and previous locations are known. The two methodologies are …

This work presents an innovative methodology to predict the future trajectories of vehicles
when its current and previous locations are known. We propose an algorithm to adapt the …

The role of connected vehicular networks has become vital for the future of smart and
modern cities, as it can be envisioned as a stand alone connected network or a bridge …

Long-term vehicular motion prediction is a crucial function for both autonomous driving and
advanced driver-assistant systems. However, due to the uncertainties of vehicle dynamics …