2025-1.2.1-HU-RIZONT
Acronym and title of the project
| AITONOMY: Artificial Intelligence-driven Traffic Optimization and intelligent battery maNagement for interaction-aware autOnomous Mobility sYstems |
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.
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 |
References
- aitnm.github.io
- jkk-web.sze.hu/en/projektek/aitonomy
- go.sze.hu/aitonomy
- nkfih.gov.hu/english/international-cooperation/hurizon-programme
Acknowledgement
Grant No. / project ID: 2025-1.2.1-HU-RIZONT-2025-00129
Funding: Supported by the National Research, Development and Innovation Fund of Hungary (NRDI Fund) under the HU-RIZONT International Research Excellence Cooperation Programme (Grant No. 2025-1.2.1-HU-RIZONT-2025-00129).
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