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Dynamic Real-time Scheduling of Terminal Traffic

机译:终端流量的动态实时调度

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This paper presents dynamic strategies for the integrated scheduling and runway assignment of both arrival and departure traffic over an airport. While a static scheduling scheme handles traffic over a specified planning horizon simultaneously, sequential dynamic schedulers divide the planning horizon into a series of smaller scheduling windows and apply a static scheduling scheme sequentially over each window. Dynamic scheduling strategies are desirable for obtaining real-time solutions of continual traffic streams and for taking advantage of updated traffic information. In this paper, a multiple-point scheduling framework is used in which scheduling locations include runway thresholds as well as fixes over the terminal airspace and gates on the airport surface. Integrated static scheduling of both arrival and departure traffic is formulated as mixed-integer linear programming (MILP). Solution variables include scheduled times of arrival (STA) at the multiple scheduling locations and aircraft sequences at merge points. In addition, aircraft route assignments for both ground and airborne traffic are included as discrete solution variables, from which optimal runway assignments can be determined. Then, different dynamic strategies with either overlapping or non-overlapping scheduling windows are developed and compared. Induced constraints for ensuring sufficient separations among traffic in neighboring windows are discussed. Real traffic data from the JFK airport is used in extensive numerical solutions to evaluate the computational speeds and scheduling performances of different dynamic strategies.
机译:本文介绍了机场抵达和离境交通的综合调度和跑道分配的动态战略。虽然静态调度方案同时处理指定规划地平线上的流量,但顺序动态调度器将规划范围分为一系列较小的调度窗口,并在每个窗口上顺序应用静态调度方案。为了获得持续交通流量的实时解和利用更新的流量信息,希望动态调度策略是期望的。在本文中,使用多点调度框架,其中调度位置包括跑道阈值以及在机场表面上的终端空域和栅极上固定。到达和出发流量的集成静态调度配制为混合整数线性编程(MILP)。解决方案变量包括在合并点的多个调度位置和飞机序列处的到达的预定时间(STA)。此外,接地和机载流量的飞机路由分配作为离散解决方案变量,可以确定最佳跑道分配。然后,开发并比较了具有重叠或非重叠调度窗口的不同动态策略。讨论了确保邻近窗口中交通充分分离的诱导约束。来自JFK机场的实际交通数据用于广泛的数字解决方案,以评估不同动态策略的计算速度和调度性能。

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