报告主题：Aircraft timing, sequencing and routing optimization in terminal control areas during disturbances /干扰期间终端管制区的飞机调度、排序与航线优化

报告时间：2026年8月26日 09:00-11:00

报告地点：航海楼321

报告专家：Prof. Andrea D'Ariano

报告摘要：在繁忙的终端管制区（TCA）中，需要智能决策支持工具来实现飞机的监控与控制。有效管理TCA运行面临巨大挑战，因为航空流量需求持续增长，而TCA正逐渐成为空中交通管制系统中的瓶颈。由此导致的机场拥堵、经济和环境处罚，可通过与起飞和降落操作相关的绩效指标来衡量，例如飞机延误时间、飞行时长和燃油消耗等。

本报告针对交通繁忙的空中交通管制区域（TCAs）中实时飞机航路规划与调度问题，通过优化上述性能指标来解决。该问题的数学建模需考虑以下关键方面：必须准确预测并优化飞机航迹与航线；在每个空地TCAs资源中，需精确建模相邻飞机之间的安全规则；同时，飞机的时刻安排与排序决策必须在短时间内完成。报告探讨了整合这些建模特征与性能指标的求解方法。所提出的框架可为每架飞机计算初始航迹，提出基于预设路线的可行航班时刻表，并通过在TCAs内重新分配部分飞机航线来改进该时刻表。研究在罗马菲乌米奇诺和米兰马尔彭萨的混合模式跑道实例上进行了计算实验。干扰交通场景是通过模拟多架延迟飞机及临时中断的跑道生成的。与实际调度规则相比，基于优化的方法显著提升了解决方案的性能。然而，在选择合适的方法和范式以进行实际实施时，会存在权衡取舍。

Intelligent decision support tools for aircraft monitoring and control are required in a busy Terminal Control Area (TCA). The problem of effectively managing TCA operations is particularly challenging, since there is a significant growth of traffic demand and the TCAs are becoming a bottleneck of the air traffic control system. The resulting increase in airport congestion, economic and environmental penalties can be measured in terms of performance indicators related to take-off and landing operations, e.g., aircraft delays, travel times and fuel consumption.

This talk addresses the real-time aircraft routing and scheduling problem at congested TCAs by optimizing the above-mentioned performance indicators. The mathematical formulation of this problem requires to consider the following key aspects: the aircraft trajectory and routing should be accurately predicted and optimized, the safety rules between consecutive aircraft need to be precisely modelled in each air/ground TCA resource, the aircraft timing and ordering decisions have to be taken in a short time. We discuss solving methods to integrate these modelling features and performance indicators. The proposed framework computes an initial trajectory for each aircraft, proposes a feasible aircraft schedule with pre-defined routes, and improves this schedule by rerouting some aircraft in the TCA. Computational experiments are performed on mixed-mode runway instances from Roma Fiumicino and Milano Malpensa. The disturbed traffic situations are generated by simulating multiple delayed aircraft and temporarily disrupted runways. The optimization-based approaches improve the solutions significantly compared to practical scheduling rules. However, trade-offs emerge in picking the right approach and paradigms for practical implementation.

报告人简介：安德烈亚・达里亚诺在罗马第三大学获学士和硕士学位，2008 年获代尔夫特理工大学博士学位。2018 年和 2022 年两次获得意大利运筹学与交通科学正教授任职资格。现任罗马第三大学土木、计算机科学与航空技术工程系正教授。

安德烈亚・达里亚诺入选了斯坦福大学编制的2023年全球顶尖科学家排名前2%榜单。他的研究成果曾被工业工程与运筹管理学会（IEOM）授予“杰出教授奖”；被国际运筹学学会航空应用分会、INFORMS铁路应用分会、国际铁路运筹学协会（IAROR）、荷兰交通、基础设施与物流研究学校（TRAIL）评为最佳学术论文；被IEEE智能交通系统学会评为最佳博士论文；被意大利运筹学学会（AIRO）评为最佳硕士论文。他发表了250多篇经同行评审的国际性学术论文（其中包括在高影响力期刊上被引用最多的论文）。担任多个国际期刊的编委，同时作为外部专家和报告员为欧盟委员会及众多国家基金会提供咨询与支持。主要研究方向为交通运输与物流领域的调度和路径规划方法创新。

Andrea D'Ariano received his B.S. and M.S. degrees from Roma Tre University, and his Ph.D. from Delft University of Technology in 2008. He obtained the Full Professor Italian Scientific Habilitation in Operations Research in 2018 and Transportation Science in 2022. He is currently a Full Professor at the Department of Civil, Computer Science and Aeronautical Technologies Engineering at Roma Tre University.

Andrea D'Ariano is listed in the 2023 ranking of the top 2% of the world’s best scientists, compiled by Stanford University, DOI:10.17632/btchxktzyw.6. His research publications were acknowledged by Industrial Engineering and Operations Management (IEOM) Society as Outstanding Professor Award; Airline Group of the International Federation of Operational Research Societies (AGIFORS), INFORMS Aviation Applications Section, INFORMS Railway Applications Section, International Association of Railway Operations Research (IAROR), and Netherlands Research School on Transport, Infrastructure and Logistics (TRAIL) as best scientific papers; by IEEE Intelligent Transportation Systems Society as best PhD thesis; and by Italian Operations Research Society (AIRO) as best Master thesis. He has published more than 250 peer-reviewed international publications (including top-cited papers in high-impact journals). He serves as an editorial board member for several international journals, and works as an External Expert and Rapporteur for the European Commission and numerous National Foundations. His main research interest is the development of novel scheduling and routing methods with application to transportation and logistics.

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