Article
Management
Daniel Guimarans, Silvia Padron
Summary: This paper proposes a stochastic approach for ground support resource work plans, enhancing the robustness of the schedule and identifying potential causes of delay.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2022)
Article
Computer Science, Information Systems
Yoshiaki Kawagoe, Ryohei Chino, Satori Tsuzuki, Eri Itoh, Tomonaga Okabe
Summary: This study developed a cellular automaton simulator to accurately model the surface traffic of Tokyo International Airport, and validated its accuracy by comparing with actual data. It quantitatively analyzed the impact of surface traffic features on airport operations, improving the prediction of future air traffic and airport management.
Article
Computer Science, Artificial Intelligence
Xinwei Wang, Alexander Edward Ian Brownlee, Michal Weiszer, John R. Woodward, Mahdi Mahfouf, Jun Chen
Summary: Airports and their related operations are causing major concerns in air traffic management system due to predictability, safety, and environmental issues. This article proposes a new interval type-2 fuzzy logic-based map matching algorithm to optimize airport ground movement. Experimental results show that the designed fuzzy rules have the potential to handle map matching uncertainties, and the extra checking step can effectively improve map matching accuracy. The proposed algorithm is demonstrated to be robust with a map matching accuracy of over 96% without compromising the run time.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Transportation Science & Technology
Paolo Scala, Miguel Mujica Mota, Cheng-Lung Wu, Daniel Delahaye
Summary: This paper presents an innovative approach that combines optimization and simulation techniques to solve scheduling problems under uncertainty. By applying the Opt-Sim framework, potential aircraft conflicts could be reduced significantly, offering a general framework for solving scheduling problems in various fields.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Engineering, Civil
Stephanie Atallah, Susan Hotle
Summary: The study found that most delay propagation chains originate at large-hub airports, but these delays recovered quickly. Each additional flight affected by downstream delay adds 18.7 minutes on average to total arrival delay, with weather as the original causal factor leading to an increase of 11.6 minutes in total propagated delay.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Transportation Science & Technology
Yuan Wang, Yu Zhang
Summary: This study introduces a data-driven deep-learning framework for predicting airport runway configurations and acceptance rates, aiming to enhance the efficiency of air traffic management in complex multi-airport systems. The proposed method improves weather forecasting and operational interdependency aspects, achieving higher prediction accuracy through numerical experiments at three major airports in the New York Metroplex.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Economics
Ming Hsin Lin
Summary: The study finds that choosing per-passenger charges can lead to the best outcome when positive and negative externalities cancel out, while choosing movement-related per-flight charges alone cannot achieve the best outcome. Capacity investment efficiency varies under different pricing approaches.
RESEARCH IN TRANSPORTATION ECONOMICS
(2021)
Article
Engineering, Aerospace
Marc Christopher Gelhausen, Peter Berster, Dieter Wilken
Summary: This research aims to investigate the long-term impact of the COVID-19 crisis on global air transport services and predict the challenges of rebuilding airport capacity after the pandemic. Results show that airport capacity constraints will continue to be a concern for airports even after the recovery.
Article
Economics
Yechenfeng Guo, Minghua Hu, Bo Zou, Mark Hansen, Ying Zhang, Hua Xie
Summary: This study introduces a new ATFM model that integrates Minutes-In-Trail and ground holding, considering system efficiency and inter-airline equity. By incorporating robustness and equity into the optimization models, various solution approaches are proposed and extensively analyzed for their performance in numerical simulations.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Article
Transportation Science & Technology
Xinwei Wang, Alexander E. Brownlee, Michal Weiszer, John R. Woodward, Mahdi Mahfouf, Jun Chen
Summary: This study proposes a new model and algorithm for optimizing taxi time in airport ground movement, and empirical simulations demonstrate that the new method can more efficiently allocate routes and reduce the number of aircraft stops during taxiing.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Computer Science, Artificial Intelligence
Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen
Summary: Dispatching vehicle fleets to serve flights is a challenging task in airport ground handling due to the growth of flights. This study presents a learning assisted large neighborhood search method to effectively schedule multiple types of operations for a large number of flights. Experimental results show that the proposed method outperforms state-of-the-art methods and demonstrates versatility and scalability.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Mohamed Tarek, Tapabrata Ray
Summary: This paper proposes approximation schemes for handling load uncertainty in compliance-based topology optimization problems and efficiently evaluates and differentiates the mean compliance or a class of scalar-valued function of individual load compliances. The computational time complexities are analyzed, compared, and experimentally verified.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Transportation
Liying Ruan, Alessandro Gardi, Roberto Sabatini
Summary: This paper proposes a macroscopic empirical approach to estimate capacity penalties in multi-airport systems, using Beijing as a numerical case study. The study statistically analyses the Pareto envelopes of theoretical and observed peak hour capacities to quantify penalties in comparable metroplexes, modulated by a sigmoid correlation function. Findings highlight the needs for further research in this area.
JOURNAL OF AIR TRANSPORT MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
Bernard Dusseault, Philippe Pasquier
Summary: Hybrid ground-coupled heat pump systems can efficiently heat and cool buildings, but their financial profitability is hard to establish during the design phase. By using the net present value-at-risk indicator, uncertainties can be addressed throughout the design process, leading to shorter payback periods and reduced financial risks. Describing uncertain parameters statistically during sizing can result in more conservative, efficient, and financially viable designs.
Article
Environmental Sciences
Paola Di Mascio, Riccardo Carrara, Luca Frasacco, Eleonora Luciano, Andrea Ponziani, Laura Moretti
Summary: Air traffic controllers aim to optimize airport capacity by evaluating the impact of tower air traffic controllers' workload, using fast-time simulation software to determine hourly percentage of work for each controller. Results show that the maximum airside traffic load would create unacceptable workload for tower controllers.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Economics
Songyot Kitthamkesorn, Anthony Chen, Seungkyu Ryu, Sathaporn Opasanon
Summary: The study introduces a new mathematical model to determine the optimal location of park-and-ride facilities, addressing the limitations of traditional models and considering factors such as route similarity and user heterogeneity.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2024)