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.

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

Further information

Integration of autonomous, cooperative, and electric vehicles (ACEVs) into urban transport systems is relevant to ongoing societal and technological trends. Ensuring these vehicles can safely coexist with vulnerable road users (VRUs), as well as human drivers, is crucial for public acceptance and reducing accidents. Given that human error accounts for a significant majority of serious crashes, ACEVs have the potential to enhance road safety, provided they interact transparently and predictably with all other road users, particularly those most at risk.

For more details about the project, please visit the the following URL's:

  • jkk-web.sze.hu/en/projektek/aitonomy
  • aitnm.github.io
  • go.sze.hu/aitonomy

    • 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}
}