Hybrid Autonomous Connected Vehicle platooning with Federated Learning: State of the art and simulation Framework

In this paper, we present a brief overview about technologies
and state of art methods being used for Hybrid Autonomous
Connected Vehicles (HACV). Moreover, Federated Learning
(FL) help in avoiding transmission of raw local data in the design
of machine learning models for diverse purposes, which help to
ensure privacy of sensible data. On the other hand, to reduce
tailpipe emissions hybrid electric vehicles are required, as
complete conversion of engines to electric might take time.
Communication and connectivity of vehicles and infrastructure
are increasing for connected autonomous vehicles (CAV) that
play a vital role in future transportation. High speed, reliable and
efficient communication between vehicles and infrastructure is
made possible with fifth generation (5G) wireless technology.
Here, Platooning and 5G helps in joining a cluster of vehicles that
aids in reducing fuel consumption and allowing exchange of
energy using wireless charging.