ICCK

Bingyu Zhu

Beihang University

Section 01

Academic Profile

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Section 02

ICCK Publications

Free Access | Research Article | 23 March 2026 | Cited: Crossref logo  2 , Scopus 2
Design of Low-Altitude Air Route Networks with Robustness Boundary via Reinforcement Learning
ICCK Transactions on Systems Safety and Reliability | Volume 2, Issue 2: 54-81, 2026 | DOI: 10.62762/TSSR.2026.164131
Abstract
The rapid expansion of the low-altitude economy is reshaping urban transportation systems, while large-scale operations of dynamic and high-density low-altitude unmanned aerial vehicles pose significant challenges to performance and robustness of airspace infrastructure. Traditional free-flight and point-to-point paradigms have revealed inherent limitations in conflict resolution and congestion mitigation, making the construction of adaptive, structured, and dynamic low-altitude air route networks a critical pathway to achieve both route controllability and efficient operation. However, existing design approaches may struggle to rapidly adapt to dynamic flight requirements while ensuring hig... More >

Graphical Abstract
Design of Low-Altitude Air Route Networks with Robustness Boundary via Reinforcement Learning