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Bilateral Decentralized Federated Multi-Agent Deep Reinforcement Learning for Longitudinal Vehicle Platoon Control
PA: Research Project (INF-PM-FPA / INF-PM-FPG) or
BA: Bachelor Thesis (or Studienarbeit / Großer Beleg)
A platoon is a group of vehicles driving close to each other in order to reduce air drag, save fuel (or electric energy) and increase road capacity. In order to avoid accidents due to the reduced gap between the vehicles, the distance is controlled automatically, supported by wireless messages between the vehicles.
Goals of the thesis
In this thesis, a control approach using reinforcement learing is developed and compared with controllers from the Plexe simulation framework. The trainig and operation performance have to be evaluated.
Keywords
Simulation, Reinforcement Learning, Plexe, Platooning, Control Performance, Python