In addressing the detrimental impacts of greenhouse gas emissions and decarbonization
targets, the imperative shift towards electrification in the transportation sector is underscored …

A novel control method for the artificial swarm system is proposed in this paper. To reflect the
biological swarm performance (aggregation), a kinematic model of the artificial swarm …

Purpose The promotion of autonomous vehicles introduces privacy and security risks,
underscoring the pressing need for responsible innovation implementation. To more …

Abstract Connected and Autonomous Vehicles (CAVs) are reshaping urban systems,
demanding substantial computational support. While existing research emphasizes the …

In the near future, fully autonomous vehicles may revolutionise mobility and contribute to the
development of the smart city concept. In this work, we assume that vehicles are not only …

We present a method for the signal-free path-free intersection control (SPIC) problem which
involves coordinating connected vehicles under automated driving (CVAD) at urban …

Deep reinforcement learning has shown promise in various engineering applications,
including vehicular traffic control. The non-stationary nature of traffic, especially in the lane …

Neste artigo, aborda-se o problema de interações em tempo real de múltiplos veículos em
interseções livres de semáforos e com caminhos livres, denominadas de plazas, para um …

This paper presents a joint trajectory optimization algorithm for a number of connected and
automated vehicles in a lane-free traffic environment with vehicle nudging. A double …

Accurate tracking of a given path is one of the primary factors in the maneuverability of a
vehicle and is also an important topic in autonomous vehicle research. To solve the problem …