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Simulating Shared Airspace for Service UAVs with Conflict Resolution

机译:模拟共享空域,具有冲突解决方案的服务无人机

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In future UAV-based services, UAV fleets will be managed by independent service providers in shared low-altitude airspace. Therefore, Conflict Detection and Resolution (CDR) methods that solve conflicts, i.e. possible collisions, between UAVs of all service providers are a key element of the Unmanned Aircraft System Traffic Management (UTM) system. We present a top-to-bottom algorithmic system with an extension to UAV operations of ORCA, a state-of-the-art algorithm in robotics. Then, using extreme-conflict situations, we empirically determine optimal parameter values for our adapted ORCA, and we observe a better performance compared to the standard use of ORCA. Finally, using realistic UAV traffic situations for delivery, we perform extensive simulations to study the potential occurrence and distribution of collisions, and to assess safety parameters for CDR.
机译:在未来的无人机服务中,UAV车队将由共享低空空域的独立服务提供商管理。因此,解决冲突的冲突检测和分辨率(CDR)方法,即所有服务提供商的无人机之间的可能碰撞是无人机系统流量管理(UTM)系统的关键要素。我们介绍了一个顶到底部的算法系统,扩展了ORCA的UAV操作,是机器人中的最先进的算法。然后,使用极端冲突的情况,我们经验确定了我们改进的ORCA的最佳参数值,并且与ORCA的标准使用相比,我们观察更好的性能。最后,利用现实的UAV流量局面进行交付,我们执行广泛的模拟,以研究碰撞的潜在发生和分配,并评估CDR的安全参数。

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