Conflict Management Algorithms Development Using the Automated Framework for Autonomous Vehicles

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Abstract
The fields of autonomous ground and aerial vehicles are a young, dynamically expanding field of industry. The current traffic management solutions are inadequate to support the predicted high volume of operations efficiently and safely. As such, novel, automated management solutions are required. This paper presents the research work performed on the automated conflict management prototype system, combining conflict management for autonomous ground and aerial vehicles. This paper briefly presents the background and architecture of the system prototype developed, then highlights the research directions related to the conflict management algorithm development. Algorithms need to provide the desired amount of safety, while at the same time ensuring acceptable levels of performance, cost, and efficiency. Potential conflict management algorithms are investigated, and a computational methodology developed for objective comparison, to enable the future, data-based development of the conflict management framework.- Title
- Conflict Management Algorithms Development Using the Automated Framework for Autonomous Vehicles
- Author
- Sziroczák, Dávid
- Rohács, Dániel
- Date of issue
- 2022
- Access level
- Open access
- Copyright owner
- Budapest University of Technology and Economics
- Conference title
- The First Conference on ZalaZONE Related R&I Activities of Budapest University of Technology and Economics 2022
- Conference place
- Budapest University of Technology and Economics
- Conference date
- 2022.03.31
- Language
- en
- Page
- 89 - 93
- Subject
- Autonomous conflict management, UAV, UGV, UTM
- Version
- Kiadói változat
- Identifiers
- DOI: 10.3311/BMEZalaZONE2022-019
- Title of the container document
- Proceedings of The First Conference on ZalaZONE Related R&I Activities of Budapest University of Technology and Economics 2022
- ISBN, e-ISBN
- ISBN 978-963-421-873-9
- University
- Budapest University of Technology and Economics
- Faculty
- Faculty of Transportation Engineering and Vehicle Engineering
- Department
- Department of Automotive Technologies