A Simulation Framework For Fast Design Space Exploration Of Unmanned Air System Traffic Management Policies
A Simulation Framework For Fast Design Space Exploration Of Unmanned Air System Traffic Management Policies
复制标题
无人机系统交通管理策略快速设计空间探索的仿真框架
DOI:
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发表时间:
2019
期刊:
影响因子:
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通讯作者:
Franco Basti
中科院分区:
文献类型:
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作者:
Ziyi Zhao;Chen Luo;Jin Zhao;Qinru Qiu;M. C. Gursoy;Carlos Caicedo;Franco Basti
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.