详情

原文传递 3D Simulation Platform for Decentralized Decision-Making in Advanced Air Mobility.

题名：	3D Simulation Platform for Decentralized Decision-Making in Advanced Air Mobility.
作者：	Das, A. N; Hicks, S. D.
摘要：	This paper presents a general purpose, plug-and-play simulation platform forthe use of future aviation stakeholders, such as urban airspace planners, air vehicle operators,ground operation managers, air traffic controllers and aviation researchers. The presentedsimulator platform is envisioned to serve as a toolkit to visualize, evaluate, and configurefuture advanced air mobility (AAM) operations. Highlighting features of this toolkit includea modular architecture that allows multiple smart unmanned aerial systems (UASs) toremotely connect to the simulation server and participate in decentralized decision-makingscenario simulations. As an example of the decentralized decision-making scenario, an inter-agent negotiation-based conflict resolution use case is considered in this paper, where theUASs leverage the on-board/on-the-edge artificial intelligence (AI) capability to continuallybuild situational awareness, and use this information to predict future conflicts and resolvethem through machine-to-machine negotiation. As such operations are non-existent at scalecurrently, the presented simulation platform offers a viable and cost-effective alternative forassessing the efficacy of AAM research outcomes and challenges in future shared airspaceusage. The simulation platform allows plug-n-play connectivity with AI and non-AI computemodules representing individual UAS’s flight control. Each module can interact with thesimulation platform independently to communicate current and desired future states,situational awareness, and conflict resolution utilization costs for inter-agent negotiation. Thesimulation environment orchestrates realistic operational scenarios with spatiotemporaldetails, dynamic events, tactical conflict-resolution methods, interfaces for customizing airtraffic control parameters, and information exchange uncertainties. In the future, this canserve as a community focused cloud simulation platform, incorporating multi-stakeholderairspace constraints from regulatory, government, city, and local agencies.
总页数：	12 pages