AITONOMY

Artificial Intelligence-driven Traffic Optimization and intelligent battery maNagement for interaction-aware autOnomous Mobility sYstems*

*Hurizon International Research Excellence Cooperation Programme
Partners Overview Objectives Repositories

Project overview

The project aims to develop an integrated framework for autonomous, cooperative and electric vehicles (ACEVs) addresses two critical and interdependent challenges: ensuring safe and socially aware navigation in complex urban environments and managing battery health and energy efficiency.

Enabling easy data exchange is achieved through a unified layer, promoting cooperation between vehicles from different manufacturers.

AITONOMY Overview

Partners

Partner name Country Role
Széchenyi István University Hungary Lead partner
Karlsruhe Institute of Technology Germany Cooperating partner
Delft University of Technology Netherlands Cooperating partner
Embry-Riddle Aeronautical University USA Associated partner

AITONOMY Partners

BibTeX

@article{TODOYourPaperKey2026,
  title={TODO Your Paper Title Here},
  author={TODO First Author and Second Author and Third Author},
  journal={Conference/Journal Name},
  year={2026},
  url={https://aitnm.github.io}
}