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Author: Konstantinos Zografos Publisher: John Wiley & Sons ISBN: 1118535472 Category : Technology & Engineering Languages : en Pages : 254
Book Description
Modelling and Managing Airport Performance provides an integrated view of state-of-the-art research on measuring and improving the performance of airport systems with consideration of both airside and landside operations. The considered facets of performance include capacity, delays, economic costs, noise, emissions and safety. Several of the contributions also examine policies for managing congestion and allocating sparse capacity, as well as for mitigating the externalities of noise, emissions, and safety/risk. Key features: Provides a global perspective with contributing authors from Europe, North and South America with backgrounds in academia, research institutions, government, and industry Contributes to the definition, interpretation, and shared understanding of airport performance measures and related concepts Considers a broad range of measures that quantify operational and environmental performance, as well as safety and risk Discusses concepts and strategies for dealing with the management of airport performance Presents state-of-the-art modelling capabilities and identifies future modelling needs Themed around 3 sections – Modelling Airport Performance, Assessing Airport Impacts, and Managing Airport Performance and Congestion Modelling and Managing Airport Performance is a valuable reference for researchers and practitioners in the global air transportation community.
Author: Yufeng Tu Publisher: VDM Verlag ISBN: 3836422301 Category : Air traffic control Languages : en Pages : 100
Book Description
The U.S. National Airspace System (NAS) is inherently highly stochastic. Yet, many existing decision-support tools for air traffic flow management take a deterministic approach to problem solving. This study aims to focus on the random and dynamic nature of flight departure delays to provide a more ac-curate picture of the airspace traffic situation, improve the prediction of the airspace congestion, and advance the level of decision making in aviation systems. Several models were proposed in this work based on the trends and patterns demonstrated by the delays. These models show reasonable goodness of fit, robustness to the choice of the model parameters, and good predictive capabilities. They could further advance the Enhanced Traffic Management System that is currently adopted by the Federal Aviation Administration. Mathematical algorithms used in this work can be adapted to similar pro-blems in other fields. The book is addressed to professionals and researchers in Air Transportations and Statistics.
Author: Milan Janic Publisher: CRC Press ISBN: 9789056992446 Category : Technology & Engineering Languages : en Pages : 322
Book Description
Presenting a comprehensive coverage, Air Transport System Analysis and Modelling is a unique text dealing with the analysis and modelling of the processes and operations carried out in all three parts of the air transport system, namely, airports, air traffic control and airlines. Seen from a planners point of view, this book provides insights into current methods and also gives details of new research. Methods are given for the analysis and modelling of the capacity, quality and economics of the service offered to users and includes illustrative analytical and simulation models of the systems operations supported by an appropriate analysis of real world events and applications. Undergraduates and graduates in the field of air transport planning and technology, applied operations research and applied transport economics will find this book to be of interest, as will specialists involved with transport institutes and consulting firms, policy makers dealing with air transport and the analysts and planners employed at air transport enterprises.
Author: National Research Council Publisher: National Academies Press ISBN: 9780309090698 Category : Transportation Languages : en Pages : 92
Book Description
As recently as the summer of 2001, many travelers were dreading air transportation because of extensive delays associated with undercapacity of the system. That all changed on 9/11, and demand for air transportation has not yet returned to peak levels. Most U.S. airlines continue to struggle for survival, and some have filed for bankruptcy. The situation makes it difficult to argue that strong action is urgently needed to avert a crisis of undercapacity in the air transportation system. This report assesses the visions and goals for U.S. civil aviation and technology goals for the year 2050.
Author: Alexandre Jacquillat Publisher: ISBN: Category : Languages : en Pages : 121
Book Description
Since the phasing-out of the High Density Rule, access to major commercial airports in the United States has been unconstrained or, in the case of the airports of New York, weakly constrained. This largely unregulated demand combined with capacity constraints led to record delay levels in 2007, whose costs were estimated as in excess of $30 billion a year. Mitigating airport congestion may be achieved through demand management measures. Quantifying the benefits of such measures requires careful modeling of flight delays as a function of flight schedules. This thesis applies a stochastic and dynamic queuing model to analyze operations at JFK and Newark (EWR), two of the most congested airports in the United States. Two models are used to approximate the dynamics of the queuing system: a numerical model called DELAYS and a new Monte Carlo simulation model, which combines time-varying stochastic models of demand and capacity. These two models are then calibrated and validated using historical records of operations. In particular, they provide estimates of the average throughput rate at JFK and EWR under different weather conditions. The models are then shown to predict accurately both the magnitude of the delays and their evolution over the course of a day of operations. In addition, the Monte Carlo simulation model evaluates reasonably well the variability of the delays between successive days of operations. These two models are then applied to a study of recent trends in scheduling and ontime performance at JFK and EWR. The analysis indicates that the significant delay reductions observed between 2007 and 2010 can be largely attributed to the relatively small reduction of airport demand over this period. In particular, it demonstrates the strongly nonlinear relationship between demand and delays when airports operate close to capacity. It also shows that, for a given daily number of flights, the more evenly they are distributed in a day, the lower the resulting delays are likely to be.