一种用于无人机系统交通管理政策快速设计空间探索的仿真框架
A Simulation Framework for Fast Design Space Exploration of Unmanned Air System Traffic Management Policies
AI总结：
本文提出了一种多智能体空气交通和资源使用仿真框架，用于快速评估不同的空交通管理政策及其与环境和交通模式的关系，同时为智能城市建设中的资源分配和发射站点选址提供工具。
摘要：
每天在不受控制的低空空域中进行的小型无人机系统(sUAS)操作数量预计将达到数百万。无人机交通管理(UTM)是一个新兴概念，旨在安全有效地管理这种非常密集的交通，但很少有研究涉及如何满足这种需求以及在郊区或城市环境中所需的地面基础设施。寻找最优空交通管理政策是一个组合优化问题，当sUAS数量和约束条件增加时，其复杂性难以处理。随着对空域的需求增加和交通模式变得复杂，预测潜在的低空空域热点及其相应的地面资源需求变得困难。本文提出了一种多智能体空气交通和资源使用仿真(MATRUS)框架，旨在快速评估不同的空交通管理政策以及政策、环境和由此产生的交通模式之间的关系。它也可以作为工具，用于智能城市建设规划中的资源分配和发射站点选址。作为案例研究，详细比较了受管理(集中协调)和未受管理(自由飞行)交通场景下的sUAS飞行时间、冲突比率和蜂窝通信资源使用情况。
英文摘要：
The number of daily small Unmanned Aircraft Systems (sUAS) operations in uncontrolled low altitude airspace is expected to reach into the millions. UAS Traffic Management (UTM) is an emerging concept aiming at the safe and efficient management of such very dense traffic, but few studies are addressing the policies to accommodate such demand and the required ground infrastructure in suburban or urban environments. Searching for the optimal air traffic management policy is a combinatorial optimization problem with intractable complexity when the number of sUAS and the constraints increases. As the demands on the airspace increase and traffic patterns get complicated, it is difficult to forecast the potential low altitude airspace hotspots and the corresponding ground resource requirements. This work presents a Multi-agent Air Traffic and Resource Usage Simulation (MATRUS) framework that aims for fast evaluation of different air traffic management policies and the relationship between policy, environment and resulting traffic patterns. It can also be used as a tool to decide the resource distribution and launch site location in the planning of a next-generation smart city. As a case study, detailed comparisons are provided for the sUAS flight time, conflict ratio, cellular communication resource usage, for a managed (centrally coordinated) and unmanaged (free flight) traffic scenario.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
