Decentralized Control Synthesis for Air Traffic Management in Urban Air Mobility

被引:19
|
作者
Bharadwaj, Suda [1 ]
Carr, Steven [1 ]
Neogi, Natasha [2 ]
Topcu, Ufuk [1 ]
机构
[1] Univ Texas Austin, Dept Aerosp Engn & Engn Mech, Austin, TX 78712 USA
[2] NASA, Langley Res Ctr, Hampton, VA 23666 USA
来源
关键词
Safety; Aircraft; Urban areas; Computer architecture; Scalability; Runtime; Vehicle dynamics; Air traffic management (ATM); assured autonomy; reactive synthesis; system safety; urban air mobility (UAM); FRAMEWORK;
D O I
10.1109/TCNS.2021.3059847
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Urban air mobility (UAM) refers to air transportation services within an urban area, often in an on-demand fashion. We study air traffic management (ATM) for vehicles in a UAM fleet, while guaranteeing system safety requirements such as traffic separation. Existing ATM methods for unmanned aerial systems, such as UAS traffic management, utilize alternative approaches which do not provide strict safety guarantees. No established infrastructure exists for providing ATM at scale for UAM. We provide a decentralized, hierarchical approach for UAM ATM that allows for scalability to high traffic densities as well as providing theoretical guarantees of correctness with respect to user-provided safety specifications. Our main contributions are two-fold. First, we propose a novel UAM ATM architecture that divides the control authority between vertihubs that are each in charge of all UAM vehicles in their local airspace. Each vertihub also contains a number of vertiports that are in charge of UAM vehicle takeoffs and landings. The resulting architecture is decentralized and hierarchical, which not only enables scalability, but also robustness in the event of any individual vertihub or vertiport no longer being operational. Second, we provide a contract-based correct-by-construction reactive synthesis approach that provably guarantees safety properties with respect to user-provided specifications in linear temporal logic. We demonstrate the approach on large-volume UAM air traffic data.
引用
收藏
页码:598 / 608
页数:11
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