报告题目：Aircraft timing, sequencing and routing optimization in terminal control areas during disturbances
报告人：Andrea D
邀请人：王江波 副教授
报告时间及地点：2026年8月27日09:00-11:00 经济管理学院B312
专家简介：
Professor Andrea D'Ariano obtained his Bachelor’s and Master’s degrees in Computer Science, Automation and Management Engineering from Roma Tre University, Italy. In November 2003, he joined the TRAIL Research School for Transport, Infrastructure and Logistics and the Department of Transport and Planning, Faculty of Civil Engineering and Geosciences, Delft University of Technology, for his doctoral research. In April 2008, he successfully completed his Ph.D. studies under the supervision of Prof. Ingo A. Hansen.In 2018 and 2022, he obtained the Full Professor Italian Scientific Habilitation in the fields of Operations Research and Transportation Science, respectively. He has served as an expert andrapporteur for the European Commission and several national research funding agencies. He was the coordinator of the AIRO (Italian Association of Operations Research) Chapter on “Optimization in Public Transport and Shared Mobility”.Currently, he is Full Professor at the Department of Civil, Computer Science and Aeronautical Technologies Engineering, Roma Tre University. He serves as Associate Editor or Editorial Board Member for several renowned international journals, including Transportation Research Part B, Transportation Research Part C, and Transportation Research Part E, as well as international conferences such as the IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC). His main research interests focus on the development of novel scheduling and routing methods with applications in public transportation and logistics.
报告摘要：
This presentation focuses on the real-time joint optimization of aircraft routing, timing, and sequencing in terminal control areas (TCAs) under disturbed conditions. It considers aircraft trajectory prediction, safety separation, delays, flight duration, and fuel consumption. By generating feasible trajectories and schedules and rerouting selected aircraft, the proposed approach improves airspace and runway operational efficiency. The method is validated through case studies of flight delays and runway disruptions at Rome Fiumicino Airport and Milan Malpensa Airport.
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