TY - JOUR
T1 - Characterization of Strategic Deconflicting Service Impact on Very Low-Level Airspace Capacity
AU - Liu, Zhiqiang
AU - Muñoz Gamarra, Jose Luis
AU - Ramos González, Juan José
N1 - Publisher Copyright:
© 2024 by the authors.
PY - 2024/8/25
Y1 - 2024/8/25
N2 - European airspace is poised for significant transformation as it prepares to accommodate a new class of unmanned traffic that will reshape the transport of people and goods. Unmanned aerial vehicle traffic will introduce a new level of services, but it remains unclear how safety and operators' time flexibility in flight planning will impact capacity. This study focuses on the impact of strategic deconflicting services on the capacity of the very low-level airspace, a critical area in the future management of unmanned aerial vehicle traffic. The results validate the assumptions regarding the roles of airspace managers and drone operators through simulation studies; highlight the limitations of the first come, first served policy; and propose a batch policy as a potential optimization strategy for future airspace capacity management. The forecasting model developed using regression techniques provides a general method for predicting airspace capacity under specific conditions, contributing to the safe and efficient integration of unmanned aerial vehicles into European airspace.
AB - European airspace is poised for significant transformation as it prepares to accommodate a new class of unmanned traffic that will reshape the transport of people and goods. Unmanned aerial vehicle traffic will introduce a new level of services, but it remains unclear how safety and operators' time flexibility in flight planning will impact capacity. This study focuses on the impact of strategic deconflicting services on the capacity of the very low-level airspace, a critical area in the future management of unmanned aerial vehicle traffic. The results validate the assumptions regarding the roles of airspace managers and drone operators through simulation studies; highlight the limitations of the first come, first served policy; and propose a batch policy as a potential optimization strategy for future airspace capacity management. The forecasting model developed using regression techniques provides a general method for predicting airspace capacity under specific conditions, contributing to the safe and efficient integration of unmanned aerial vehicles into European airspace.
KW - U-space
KW - capacity
KW - UAV traffic simulator
UR - http://www.scopus.com/inward/record.url?scp=85205120528&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/3e34b9a1-d50e-3a38-ab35-c96304543816/
U2 - 10.3390/drones8090426
DO - 10.3390/drones8090426
M3 - Article
SN - 2504-446X
VL - 8
JO - Drones
JF - Drones
IS - 9
M1 - 426
ER -