In this paper, we consider a kinetic description of follow-the-leader traffic models, which we
use to study the effect of vehicle-wise driver-assist control strategies at various scales, from …

Adaptive traffic signal control plays a crucial role in enhancing the traffic situation in urban
cities. Recently, reinforcement learning-based methods have demonstrated remarkable …

Vehicular Social Networks (VSNs) consist of groups of individuals (ie, people) who may
share common interests, preferences and needs in the context of temporal spatial proximity …

Graph theory is a promising approach in handling the problem of estimating the connectivity
probability of vehicular ad hoc networks (VANETs). With a communication network …

In vehicular networks, the instantaneous connectivity between any two consecutive vehicles
is a function of both the headway distance between them and the communication channel …

Several developed vehicle spaces and time headway distribution models in traffic flow
theory have been widely used in the literature, reflecting the primary uncertainty in drivers' …

Recently, the new paradigm of Vehicular Social Networks (VSNs) has stimulated a lot of
interest in the research community. The rationale behind this interest relies on the …

In this paper we consider a Boltzmann-type kinetic description of Follow-the-Leader traffic
dynamics and we study the resulting asymptotic distributions, namely the counterpart of the …

This chapter discusses the connectivity in freeway vehicular ad hoc networks (VANETs).
Estimating connectivity is necessary to measure the effectiveness of vehicular …

We present three different approaches how to estimate the number of preceding cars
influencing a decision-making procedure of a given driver moving in saturated traffic flows …