Evaluation of collision detection and avoidance methods for urban air mobility through simulation DOI Creative Commons

Isha Panchal,

Sophie F. Armanini, Isabel C. Metz

et al.

CEAS Aeronautical Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 6, 2024

Abstract Urban Air Mobility is a new concept of regional aviation that has been growing in popularity as solution to the issue ever-increasing ground traffic. Electric vehicles with vertical take-off and landing capabilities are developed by numerous market companies result push toward environmentally sustainable aviation. The next stage this development process would be define operation these conceptual aircraft then integrate them existing airspace once they airborne. In addition coordinating conventional air traffic other vehicles, collision avoidance uncooperative users addressed. Birds drones all sizes pose serious risk low-flying aircraft. Innovative detection techniques need employed due non-cooperative nature different performance characteristics compared classical fixed-wing aim study evaluate one such system means fast-time simulations. This builds, similarly Airborne Collision Avoidance System, on safety envelopes rule-based prevent collisions members. designed work configurations used for operations. To assess its influence capacity, scenarios modeled varying parameters, intruder type, location, flight path. parameters assessed differences time closest point approach without place. Moreover, analyzed. results show separation between ownship increased substantially which leads safe operations at bearable delay costs.

Language: Английский

Validation of Collision Detection and Avoidance Methods for Urban Air Mobility through Simulation DOI Creative Commons

Isha Panchal,

Sophie F. Armanini, Isabel C. Metz

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: June 6, 2024

Abstract Urban Air Mobility is a new concept of regional aviation that has been growing in popularity as solution to the issue ever-increasing ground traffic. Electric vehicles with vertical take-off and landing capabilities are being developed by numerous market companies result push toward environmentally sustainable aviation. The next stage this development process would be define operation these conceptual aircraft then integrate them existing airspace once they airborne. In addition coordinating conventional air traffic other vehicles, collision avoidance uncooperative users addressed. Birds drones all sizes pose serious risk low-flying aircraft. Innovative detection techniques need employed due nature different performance characteristics compared classical fixed-wing aim study validate one such system means fast-time simulations. This builds, similarly Airborne Collision Avoidance System, on safety envelopes rule-based collision-avoidance prevent collisions non-cooperative members. designed work configurations used for operations. To assess its influence capacity, scenarios modelled varying parameters intruder type, location, flight path. assessed differences time closest point approach without place. Moreover, analysed. results show separation between ownship increased substantially which leads safe operations at bearable delay costs.

Language: Английский

Citations

0
Evaluation of collision detection and avoidance methods for urban air mobility through simulation DOI Creative Commons

Isha Panchal,

Sophie F. Armanini, Isabel C. Metz

et al.

CEAS Aeronautical Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 6, 2024

Abstract Urban Air Mobility is a new concept of regional aviation that has been growing in popularity as solution to the issue ever-increasing ground traffic. Electric vehicles with vertical take-off and landing capabilities are developed by numerous market companies result push toward environmentally sustainable aviation. The next stage this development process would be define operation these conceptual aircraft then integrate them existing airspace once they airborne. In addition coordinating conventional air traffic other vehicles, collision avoidance uncooperative users addressed. Birds drones all sizes pose serious risk low-flying aircraft. Innovative detection techniques need employed due non-cooperative nature different performance characteristics compared classical fixed-wing aim study evaluate one such system means fast-time simulations. This builds, similarly Airborne Collision Avoidance System, on safety envelopes rule-based prevent collisions members. designed work configurations used for operations. To assess its influence capacity, scenarios modeled varying parameters, intruder type, location, flight path. parameters assessed differences time closest point approach without place. Moreover, analyzed. results show separation between ownship increased substantially which leads safe operations at bearable delay costs.

Language: Английский

Citations

0