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A Low-Altitude Urban Air Mobility Operations Platform with Mission Lifecycle Assetization

Submitted:

26 December 2025

Posted:

30 December 2025

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Abstract
Urban Air Mobility (UAM) and low-altitude drone operations are emerging as a critical component of next-generation urban transportation and logistics systems. As mission volumes increase, operators face growing challenges in coordinating large-scale low-altitude missions, managing heterogeneous operational states, and closing the loop between mission execution and platform-level resource utilization. Existing UAM platforms primarily focus on flight scheduling and monitoring, while lacking systematic mechanisms to model mission lifecycles and their operational value within an integrated platform architecture. This paper presents SkyNetUAM, a low-altitude UAM operations platform that introduces a structured mission lifecycle model to bridge mission planning, execution, and post-mission settlement within a unified system. We propose a hierarchical operational asset model covering individual missions, service packages, and air-corridor time slots, enabling fine-grained tracking of mission states and operational performance. The platform architecture integrates real-time mission scheduling, operational monitoring, and lifecycle state management, allowing mission-level events to drive platform-wide coordination and resource allocation. As an operational extension, the system incorporates a lightweight on-chain persistence mechanism to record mission states and support automated settlement workflows without altering the core operational logic. A prototype implementation demonstrates the end-to-end workflow from mission creation to completion across simulated low-altitude scenarios, and a reproducible 100k-missions/day experiment quantifies approval rate, delay behavior, and latency distributions under congestion and regulatory constraints.
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Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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