Hybrid Data-Model-Knowledge Architecture for Platooning

Research2026

Project Overview

This project focuses on the development of a multi-layer supervisor control architecture. The goal is to bridge the gap between high-level Reinforcement Learning policies and low-level vehicle dynamics using Digital Twins.

System Architecture

Hybrid hierarchical control architecture for vehicle platooning
Hybrid hierarchical control architecture: High-Level AI Decision Maker, Safety Supervisor, and Low-Level Model-Based Controller.

Project Documentation

Final Report

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