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Collision probability between intruding drone and commercial aircraft in airport restricted area based on collision-course trajectory planning

机译:基于碰撞课程轨迹规划的机场限制区域侵入无人机与商用飞机的碰撞概率

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摘要

With the significant improvements in drone technology and the popularization of drones among their hobbyists, the incidents of drones intruding airports have resulted in a large number of flight delays and temporary closure of runways. To minimize the interference of drones on normal operations in the airports, a collision probability evaluation scheme based on collision-course trajectories modeling is proposed in this work. Firstly, a trajectory planning model of drones intruding restricted airspace is derived based on a given trajectory of the commercial aircraft (CA) and the collision-course scenario of the drone. Subsequently, according to the trajectories of the drone and CA, a probabilistic model based on the stochastic kinematic model is developed to implement the collision risk evaluation. The proposed method is first comparatively demon-strated with the Monte-Carlo (MC) simulation and several special cases with known drone's trajectories. Subsequently, the cases covering different drone's initial positions, positions updates, and different collision zones are simulated and analyzed using the proposed collision-course based model. The simulation results show that the established model can be employed to evaluate the collision probability, even if the trajectory information of the intruding drone is limited.
机译:随着无人机技术的显着改善和其余爱好者中无人机的普及,无人机侵入机场的事件导致了大量的飞行延误和临时关闭跑道。为了最大限度地减少机场正常操作的无人机的干扰,在这项工作中提出了一种基于碰撞课程轨迹建模的碰撞概率评估方案。首先,基于商用飞机(CA)的给定轨迹和无人机的碰撞课程场景,推导出侵入限制空域的无人机侵入限制空域的轨迹规划模型。随后,根据无人机和CA的轨迹,开发了一种基于随机运动学模型的概率模型来实现碰撞风险评估。所提出的方法首先与Monte-Carlo(MC)仿真和已知的无人机轨迹的若干特殊情况相对讲话。随后,使用所提出的基于碰撞过程的模型来模拟和分析覆盖不同的无人机初始位置,位置更新和不同的碰撞区域的情况。仿真结果表明,即使侵入无人机的轨迹信息有限,也可以采用建立的模型来评估碰撞概率。

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