A survey of collaborative machine learning using 5G vehicular communications

SV Balkus, H Wang, BD Cornet… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
By enabling autonomous vehicles (AVs) to share data while driving, 5G vehicular
communications allow AVs to collaborate on solving common autonomous driving tasks …

Mobility management in 5G-enabled vehicular networks: Models, protocols, and classification

N Aljeri, A Boukerche - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Over the past few years, the next generation of vehicular networks is envisioned to play an
essential part in autonomous driving, traffic management, and infotainment applications. The …

A novel reinforcement learning-based cooperative traffic signal system through max-pressure control

A Boukerche, D Zhong, P Sun - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Improving the efficiency of traffic signal control is an effective way to alleviate traffic
congestion at signalized intersections. To achieve effective management of the system-wide …

A two-tier machine learning-based handover management scheme for intelligent vehicular networks

N Aljeri, A Boukerche - Ad Hoc Networks, 2019 - Elsevier
With the increasing demand for real-time road safety services and infotainment applications
on vehicles, the development of an efficient wireless mobile communication became crucial …

Mobility trace analysis for intelligent vehicular networks: Methods, models, and applications

C Celes, A Boukerche, AAF Loureiro - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Intelligent vehicular networks emerge as a promising technology to provide efficient data
communication in transportation systems and smart cities. At the same time, the …

Traffic efficiency applications over downtown roads: A new challenge for intelligent connected vehicles

MB Younes, A Boukerche - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Vehicular network technology is frequently used to provide several services and
applications for drivers on road networks. The proposed applications in the environment of …

An efficient handover trigger scheme for vehicular networks using recurrent neural networks

N Aljeri, A Boukerche - Proceedings of the 15th ACM International …, 2019 - dl.acm.org
The future of intelligent transportation systems has become in-creasingly dependent on the
integration of heterogeneous wireless technologies over connected vehicular networks. In …

On the prediction of large-scale road-network constrained trajectories

RS de Sousa, A Boukerche, AAF Loureiro - Computer Networks, 2022 - Elsevier
Trajectory data mining-based applications benefit from the increasing availability of vehicle
trajectory and road network datasets. For instance, the application of trajectory prediction …

An optimized link duration-based mobility management scheme for connected vehicular networks

N Aljeri, A Boukerche - Proceedings of the 16th ACM International …, 2019 - dl.acm.org
Recently, both academia and automotive industries have shown an increasing interest in
autonomous driving and real-time services for new modern vehicles, including adaptive …

Multi‐objective emperor penguin handover optimisation for IEEE 802.21 in heterogeneous networks

M Naresh, D Venkat Reddy… - IET …, 2020 - Wiley Online Library
IEEE concentrates on the development of effective media independent handover (IEEE
802.21 MIH) services. The major aim of IEEE 802.21 MIH is to optimise the handover …