Collision avoidance strategies for advanced air mobility using UAS-to-UAS communications
Advanced air mobility (AAM) has introduced a new mode of air transportation that can be integrated, providing services including air taxis, which can quickly transport people and cargo from one place to another. However, urban airspace is already congested with commercial air traffic, so there is a need for an efficient and autonomous airspace management system. Establishing structured air corridors and enabling UAS-to-UAS (U2U) communications are essential to achieve autonomy. Air corridors are designated airspace primarily reserved for AAM traffic, which will streamline the movement of unmanned aircraft systems (UAS). Meanwhile, U2U communications facilitate efficient collision avoidance strategies (CAS). A key aspect of this system is the development of CAS, which requires advanced communication protocols to monitor traffic patterns and detect potential collisions. This paper explores designing and implementing CAS using U2U communications. Use cases for U2U communications include merging, minimum separation, information relay, collaborative sensing, and rerouting. All these use cases demand real-time solutions for managing traffic conflicts involving multiple UAS. The CAS discussed in this paper utilizes U2U communications to mitigate the risk of collisions in the airspace and demonstrates how U2U communications can assist in efficient AAM traffic management through simulations.
Authors
- Kamesh Namuduri (ORCID: https://orcid.org/0000-0003-1051-9925)
- Nathan Smith (ORCID: https://orcid.org/0000-0003-2359-5388)
- Jaya Sravani Mandapaka (ORCID: https://orcid.org/0000-0002-9886-0716)
- Skyler Hawkins
- Logan McCorkendale
- Zachary McCorkendale
- Mathias Feriew Kidane
Institutions
- University of North Texas (US)
Publication Details
- Journal
- Drone Systems and Applications
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1139/dsa-2024-0044
- Citations
- 1
- Primary Topic
- Air Traffic Management and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 4.99