Design Principles and Algorithms for Air Traffic Arrival Scheduling
Design Principles and Algorithms for Air Traffic Arrival Scheduling
复制标题
空中交通到达调度的设计原则和算法
DOI：
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发表时间：
2014
期刊：
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通讯作者：
H. Erzberger
中科院分区：
文献类型：
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作者：
E. Itoh;H. Erzberger
提出了一种基于先到先服务(FCFS)调度协议的飞机到达实时调度器的设计原理和算法。这些算法为中心/航站楼雷达进场控制设施(TRACON)自动化系统的交通管理顾问(TMA)提供了概念和计算基础，该系统包括一套用于管理美国主要机场到达交通的决策支持工具。调度器的主要目标是将到达的飞机分配到一个有利的着陆跑道，并安排它们在最大限度地减少延误的时间降落。调度器的另一个目标是在远离机场的高空空域和机场附近的低空空域之间分配延误。描述了一种在将飞机控制到指定着陆时间的错误存在的情况下最小化平均操作成本的延误分配方法。本报告是对早些时候的一份文件的修订，该文件于1995年9月作为航空航天研究和发展咨询小组(阿加德)系列讲座的一部分首次提出。在对本文细节的激烈讨论中，作者认为，对空中交通管理(ATM)社区来说，修订和扩展1995年的原始论文非常重要，提供了更详细和清晰的内容，从而使未来的研究人员能够理解这项基础性工作，作为TMA调度算法的基础。
This report presents design principles and algorithms for building a real-time scheduler of arrival aircraft based on a first-come-first-served (FCFS) scheduling protocol. The algorithms provide the conceptual and computational foundation for the Traffic Management Advisor (TMA) of the Center/terminal radar approach control facilities (TRACON) automation system, which comprises a set of decision support tools for managing arrival traffic at major airports in the United States. The primary objective of the scheduler is to assign arrival aircraft to a favorable landing runway and schedule them to land at times that minimize delays. A further objective of the scheduler is to allocate delays between high-altitude airspace far away from the airport and low-altitude airspace near the airport. A method of delay allocation is described that minimizes the average operating cost in the presence of errors in controlling aircraft to a specified landing time. This report is a revision of an earlier paper first presented as part of an Advisory Group for Aerospace Research and Development (AGARD) lecture series in September 1995. The authors, during vigorous discussions over the details of this paper, felt it was important to the air-trafficmanagement (ATM) community to revise and extend the original 1995 paper, providing more detail and clarity and thereby allowing future researchers to understand this foundational work as the basis for the TMA's scheduling algorithms.