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Aircraft Landing Scheduling in the Small Aircraft Transportation System

机译:小型飞机运输系统中的飞机着陆调度

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Aircraft Scheduling in terminal areas is the key technology for diminishing delay and cost. Especially in SATS (Small Aircraft Transportation System), without the guidance of ATC (Air Traffic Control), efficiency is hard to reach. Considering diversity of aircrafts in SATS, traditional approaches to solve these problems, such as CPS (Constraint Position Switch) is not available. Promote to sequence aircrafts based on flying ability, and improve genetic algorithm by introduce local fitness value, using it as optimize function. Also, take vortex and conflict-free as the constraint. A potential algorithm is introduced to de-conflict for its ability to cover all possible conflict scenarios involving multiple agents. As a dynamic system, the cost of resolve conflict during the approach will feed back to the system to rescheduling. Simulation shows, a conflict-free sequence with lower delay is reached. Besides, the improved algorithm is more directive and convergence quickly, accelerating solving process. It can meet the application's needs in real-time.
机译:终端区的飞机调度是减少延误和降低成本的关键技术。特别是在SATS(小型飞机运输系统)中,如果没有ATC(空中交通管制)的指导,效率就很难达到。考虑到SATS中飞机的多样性,没有解决这些问题的传统方法,例如CPS(约束位置开关)。促进基于飞行能力的飞机排序,并通过引入局部适应度值并将其用作优化功能来改进遗传算法。同样,以涡旋和无冲突为约束。引入了一种潜在的算法来消除冲突,因为它具有涵盖涉及多个代理的所有可能冲突场景的能力。作为动态系统,解决方法期间解决冲突的成本将反馈给系统以进行重新计划。仿真表明,实现了具有较低延迟的无冲突序列。此外,改进后的算法具有更强的指令性和收敛性,加速了求解过程。它可以实时满足应用程序的需求。

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