A Stochastic And Dynamic Model Of Delay Propagation Within An Airport Network For Policy Analysis

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A Stochastic and Dynamic Model of Delay Propagation Within an Airport Network for Policy Analysis

Author : Nikolaos Pyrgiotis
Publisher :
ISBN 13 :
Total Pages : 227 pages
Book Rating : 4.:/5 (795 download)

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Book Synopsis A Stochastic and Dynamic Model of Delay Propagation Within an Airport Network for Policy Analysis by : Nikolaos Pyrgiotis

Download or read book A Stochastic and Dynamic Model of Delay Propagation Within an Airport Network for Policy Analysis written by Nikolaos Pyrgiotis and published by . This book was released on 2012 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: As demand for air travel increases over the years and many busy airports operate close to their capacity limits, congestion at some airports on any given day can quickly spread throughout the National Aviation System (NAS). It is therefore increasingly important to study the operation of large networks of airports as a group and to understand better the interactions among them under a wide range of conditions. This thesis develops a fundamental tool for this purpose, enhances it with several capabilities designed to address issues of particular interest, and presents some early insights and observations on the system-wide impacts of various scenarios of network-wide scope. We first describe an analytical queuing and network decomposition model for the study of delays and delay propagation in a large network of airports. The Airport Network Delays (AND) model aims to bridge the gap in the existing modeling tools between micro-simulations that track aircraft itineraries, but require extensive resources and computational effort, and macroscopic models that are simple to use, but typically lack aircraft itinerary tracking capabilities and credible queuing models of airport congestion. AND operates by iterating between its two main components: a queuing engine (QE), which is a stochastic and dynamic queuing model that treats each airport in the network as a M(t)/Ek(t)/1 queuing system and is used to compute delays at individual airports and a delay propagation algorithm (DPA) that updates flight schedules and demand rates at all the airports in the model in response to the local delays computed by the QE. We apply AND to two networks, one consisting of the 34 busiest airports in the United States and the other of the 19 busiest in Europe. As part of the development of AND, we perform a statistical analysis of the minimum ground turn-around times of aircraft, one of the fundamental variables that determine delay propagation. In addition, we show that the QE, with proper calibration, can model very accurately the airport departure process, predicting delays at two major US airports within 10% of observed values. We also validate the AND model on a network-wide scale against field data reported by the FAA. Finally, we present insights into the complex interactions through which delays propagate through a network of airports and the often-counterintuitive consequences. In the third part of the thesis, we present two important extensions of the AND model designed to expand its usability and applicability. First, in order to provide a more accurate representation of NAS operations, we develop an algorithm that replicates quite accurately the execution of Ground Delay Programs (GDPs). The algorithm operates consistently with the rules of the Collaborative Decision-Making (CDM) process under which GDPs are currently conducted in the United States. The second extension is the implementation in AND of a deterministic queuing engine (D(t)/D(t)/1) which can be used as an alternative to the original stochastic QE. This deterministic model can be used to study delay-related performance in a future system that operates at a higher level of predictability than the current one, as the one envisioned by FAA in the Next Generation Air Transportation System. In the final part of the thesis we describe a Mixed Integer optimization model for studying the impact of introducing slot controls at busy airports. The model generates new flight schedules at airports by reducing the number of available slots, while respecting all existing aircraft itineraries and preserving all passenger connections. We test the model at Newark Airport (EWR) and conclude that, with a small schedule displacement (less than 30 minutes for any flight during the day), it is possible to obtain a feasible schedule that obeys slot limits that are as low as the IFR capacity of the airport. We test the new schedule in AND and find that the local delay savings that would result from "slot-controlling" EWR in this way are of the order of 10% for arrivals and of 50% for departures, while we may also expect a reduction of 23% in propagated delays to the rest of the US network of airports.

Air Transportation System Performance

Author : Yufeng Tu
Publisher : VDM Verlag
ISBN 13 : 3836422301
Total Pages : 100 pages
Book Rating : 4.8/5 (364 download)

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Book Synopsis Air Transportation System Performance by : Yufeng Tu

Download or read book Air Transportation System Performance written by Yufeng Tu and published by VDM Verlag. This book was released on 2007 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Proceedings of International Conference of Aerospace and Mechanical Engineering 2019

Author : Parvathy Rajendran
Publisher : Springer Nature
ISBN 13 : 9811547564
Total Pages : 592 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Proceedings of International Conference of Aerospace and Mechanical Engineering 2019 by : Parvathy Rajendran

Download or read book Proceedings of International Conference of Aerospace and Mechanical Engineering 2019 written by Parvathy Rajendran and published by Springer Nature. This book was released on 2020-06-12 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected papers from the International Conference of Aerospace and Mechanical Engineering 2019 (AeroMech 2019), held at the Universiti Sains Malaysia's School of Aerospace Engineering. Sharing new innovations and discoveries concerning the Fourth Industrial Revolution (4IR), with a focus on 3D printing, big data analytics, Internet of Things, advanced human-machine interfaces, smart sensors and location detection technologies, it will appeal to mechanical and aerospace engineers.

A Queuing Model of Airport Congestion and Policy Implications at JFK and EWR

Author : Alexandre Jacquillat
Publisher :
ISBN 13 :
Total Pages : 121 pages
Book Rating : 4.:/5 (88 download)

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Book Synopsis A Queuing Model of Airport Congestion and Policy Implications at JFK and EWR by : Alexandre Jacquillat

Download or read book A Queuing Model of Airport Congestion and Policy Implications at JFK and EWR written by Alexandre Jacquillat and published by . This book was released on 2012 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Model to Design a Stochastic and Dynamic Ground Delay Program Subject to Non-linear Cost Functions

Author : Michael John Hanowsky
Publisher :
ISBN 13 :
Total Pages : 247 pages
Book Rating : 4.:/5 (263 download)

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Book Synopsis A Model to Design a Stochastic and Dynamic Ground Delay Program Subject to Non-linear Cost Functions by : Michael John Hanowsky

Download or read book A Model to Design a Stochastic and Dynamic Ground Delay Program Subject to Non-linear Cost Functions written by Michael John Hanowsky and published by . This book was released on 2008 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: When inclement weather reduces the arrival capacity of a busy metropolitan airport, it may lead to significant airborne delays. Delaying aircraft in the air consumes additional fuel, increases overall air traffic congestion, and may lead to costly flight diversions. As a result, during periods of inclement weather, the FAA may implement a Ground Delay Program (GDP) to proactively delay flights on the ground before they depart and reduce the possibility of future airborne delays. However, in order to assign ground delays to flights, a GDP must be implemented before they depart, at a time when the future airport arrival capacity may be uncertain. This dissertation discusses two analyses in regards to the design of a GDP. The first analysis proposes a model that solves for the optimal assignment of ground delay to aircraft for a stochastic and dynamic forecast of the airport arrival capacity, with nonlinear delay cost functions, and a capacity of the airborne arrival queue. This model is applied to several hypothetical examples and, in comparison to prior models from the literature, identifies solutions with a lower total expected cost, a smaller maximum observed arrival queue, or both. The second analysis compares the salience, or importance, of various stakeholder groups to their roles in the design of a GDP in practice. Passengers, in particular, are shown to be an important, but under-represented stakeholder group. A second model is proposed that solves for an assignment of ground delay that minimizes the total passenger delay cost. A comparison of these results to those of the first model show that the total cost of delays to passengers could be reduced by more than 30% if the FAA were to directly consider the cost of delays to passengers during the design of a GDP.

Building Reliable Air-Travel Infrastructure Using Empirical Data and Stochastic Models of Airline Networks

Author : Mazhar Arikan
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Building Reliable Air-Travel Infrastructure Using Empirical Data and Stochastic Models of Airline Networks by : Mazhar Arikan

Download or read book Building Reliable Air-Travel Infrastructure Using Empirical Data and Stochastic Models of Airline Networks written by Mazhar Arikan and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Flight delays have been a growing issue and they have reached an all-time high in recent years, with the airlines' on-time performance at its worst level in 2007 since 1995. A recent report by the Joint Economic Committee of the U.S. Congress chaired by Senator Charles E. Schumer has estimated that the total cost to the U.S. economy because of flight delays was as much as $41 billion in 2007. The goal of this paper is to build stochastic models of airline networks and utilize publicly available data to answer the following policy questions: Which are the bottleneck airports in the U.S. air-travel infrastructure (i.e., airports that cause most delay propagation)? How would increasing airport capacity at these airports alleviate delay propagation? What are the appropriate metrics for measuring the robustness of airline schedules? How could these schedules be made more robust? Which flight in an aircraft rotation is a bottleneck flight (and, hence, deserves managerial attention)? Flight delays are typically attributed to two factors: (i) the randomness in the intrinsic travel time for a scheduled flight (which is the travel time excluding propagated delays), and (ii) the propagation of this randomness through the air-travel network and infrastructure. We model both of these factors that cause travel delays. The contribution of this paper is twofold. First, we develop stochastic models, using empirical data, to analyze the propagation of delays through air-transportation networks. Our stochastic models allow us to develop three important robustness measures for airline networks. Second, our analysis enables us to make policy recommendations regarding managing bottleneck resources in the air-travel infrastructure, which, if addressed, could lead to a significant improvement in air-travel reliability.

Airport Systems, Second Edition

Author : Richard L. de Neufville
Publisher : McGraw Hill Professional
ISBN 13 : 0071770593
Total Pages : 811 pages
Book Rating : 4.0/5 (717 download)

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Book Synopsis Airport Systems, Second Edition by : Richard L. de Neufville

Download or read book Airport Systems, Second Edition written by Richard L. de Neufville and published by McGraw Hill Professional. This book was released on 2013-03-22 with total page 811 pages. Available in PDF, EPUB and Kindle. Book excerpt: THE MOST PRACTICAL, COMPREHENSIVE GUIDE TO THE PLANNING, DESIGN, AND MANAGEMENT OF AIRPORTS--UPDATED BY LEADING PROFESSIONALS "With the accelerated rate of change occurring throughout the aviation industry, this edition is a timely and very effective resource for ensuring both airport professionals and those interested in airports acquire a comprehensive understanding of the changes taking place, and how they impact airports and the communities they serve. A must read." -- James M. Crites, Executive Vice President of Operations, Dallas/Fort Worth International Airport "Airport Systems has been a must read for my management team and my graduate students because of its outstanding comprehensiveness and clarity. Now further enhanced by an expanded treatment of both environmental and air carrier issues, it promises to retain its place as the foremost text in the airport planning, engineering and management field." -- Dr. Lloyd McCoomb, retired CEO Toronto-Pearson Airport, Chair of Canadian Air Transport Security Authority "The chapter on Dynamic Strategic Planning should be required reading for every airport CEO and CFO. As de Neufville and Odoni emphasise, the aviation world is constantly changing and airport master planning must evolve to be more strategic and adaptable to ever changing conditions." -- Dr. Michael Tretheway, Chief Economist, InterVISTAS Consulting Group Over the past decade, the airport industry has evolved considerably. Airport technology has changed. New research has taken place. The major airlines have consolidated, changing demand for airport services. In order to reflect these and other major shifts in the airport industry, some of the world's leading professionals have updated the premier text on airport design – making it, now more than ever, the field's most comprehensive resource of its kind. NEW TO THIS EDITION: Chapter-ending conclusions, with reference material, and exercises Coverage of the latest aircraft technology and air traffic control Advances in the design, planning, and management of airports Additional chapter on Aircraft Impact on Airports Updated environmental regulations and international rules Two contributing authors from Massachusetts Institute of Technology

Transient Analysis of D(t)/M(t)/1 Queuing System with Applications to Computing Airport Delays

Author : Shubham Gupta (Ph. D.)
Publisher :
ISBN 13 :
Total Pages : 49 pages
Book Rating : 4.:/5 (71 download)

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Book Synopsis Transient Analysis of D(t)/M(t)/1 Queuing System with Applications to Computing Airport Delays by : Shubham Gupta (Ph. D.)

Download or read book Transient Analysis of D(t)/M(t)/1 Queuing System with Applications to Computing Airport Delays written by Shubham Gupta (Ph. D.) and published by . This book was released on 2010 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis is motivated by the desire to estimate air traffic delays at airports under a range of assumptions about the predictability of (a) inter-arrival times of demands (arrivals and departures) and (b) service times of aircraft movements (landings and takeoffs). It consists of two main parts. In the first, a transient analysis of a D(t)/M(t)/1 queuing system is presented. The reason for focusing on such a system is that it may be useful in evaluating some of the benefits of a future Air Traffic Management (ATM) system, such as the Next Generation Air Transportation System (NGATS or NextGen) currently being developed in the United States. One of the main features of these future ATM systems will be high predictability and regularity of the inter-arrival times of airport demands, i.e., a nearly deterministic demand process. This will be achieved through significant reductions in aircraft trajectory uncertainty, with the expectation that airport delays will also decrease substantially as a result. We develop a novel, computationally-efficient numerical approach for solving D(t)/M(t)/1 queuing systems with general, dynamic demand and service rates. We also discuss the complexity of the approach and some characteristics of the resulting solutions. In the second part of the thesis, we use a set of models of dynamic queuing systems, in addition to our D(t)/M(t)/1 model to explore the range of values that airport delays may assume under different sets of assumptions about the level of uncertainty associated with demand inter-arrival times and with service times. We thus compute airport delays under different queuing systems in a dynamic setting (where demand and service rates are time-varying) to capture the entire range of uncertainties expected during the deployment of various future ATM system technologies. The specific additional models we consider are: a deterministic D(t)/D(t)/1 model in which it is assumed that airport demands for landings and takeoffs occur at exactly as scheduled; and a M(t)/Ek(t)/1 model which, because of the "richness" of the family of Erlang distributions, Ek, can be used to approximate most M(t)/G(t)/1 models that may arise in airport applications. It can be seen that these models, when used together, provide bounds on estimated airport delays, with the D(t)/D(t)/1 model most likely to offer a lower bound and the M(t)/M(t)/1 model (i.e., the special case of M(t)/Ek(t)/1 with k = 1), an upper bound. We show through a set of examples based on a few of the busiest airports in the United States that: the closeness of the delay estimates provided by the different models depend on the level of congestion at an airport and the relative shapes of the dynamic profiles of capacity and demand at the airport; the difference (on a "percentage" basis) between the estimates provided by the deterministic model and the stochastic ones is largest for uncongested airports and decreases as the level of congestion increases; D(t)/M(t)/1 and M(t)/D(t)/1 produce estimates of the same order of magnitude, and reflect delays in the presence of "moderate" uncertainty at an airport; and delays under a D(t)/M(t)/1 queuing system are always higher than under a M(t)/D(t)/1 system.

Modeling and Control of Queuing Networks

Author : Sandeep Badrinath
Publisher :
ISBN 13 :
Total Pages : 228 pages
Book Rating : 4.:/5 (133 download)

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Book Synopsis Modeling and Control of Queuing Networks by : Sandeep Badrinath

Download or read book Modeling and Control of Queuing Networks written by Sandeep Badrinath and published by . This book was released on 2021 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significant growth in air traffic over the past few decades has led to increased congestion at major airports worldwide. Airport congestion results in increased flight delays, fuel burn and emissions. There is consequently a need to accurately model airport traffic operations and to design control algorithms that mitigate airport congestion. In this thesis, we propose a new class of queuing network models of airport surface operations that are capable of capturing congestion at multiple locations, and that can account for the time-varying nature of demand and capacity. The proposed queuing models are based on point-wise steady state approximation that result in a simple ordinary differential equation representation for the dynamics of the ensemble queue length. Further, the models can account for propagation delays between servers in the network, and handle general service time distributions, overcoming some of the limitations of the traditional probabilistic queuing models. The queuing models are developed, adapted, and validated using actual operational data from several major airports. These models also allow us to apply techniques from reachability analysis to better understand the performance of queuing networks. The second part of this thesis focuses on the development of airport congestion control algorithms using the proposed queuing network models. The dynamical systems representation of the queuing process allows us to use optimal and robust control techniques to regulate the queue length, and to obtain theoretical guarantees for certain special cases. We compare our algorithms with NASA's logic that was recently field-tested, using stochastic simulations. We also investigate the impact of uncertainty in airline-supplied estimates of traffic demand on the efficacy of congestion control algorithms, and quantify the benefits of reducing this uncertainty. Finally, we note that the modeling and control techniques for queuing networks developed in this thesis have broad applicability in other contexts beyond airport surface operations.

An Integrated Model of Flight and Passenger Delay for Policy Analysis in the National Air Transportation System

Author : He Sun (S.M.)
Publisher :
ISBN 13 :
Total Pages : 99 pages
Book Rating : 4.:/5 (958 download)

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Book Synopsis An Integrated Model of Flight and Passenger Delay for Policy Analysis in the National Air Transportation System by : He Sun (S.M.)

Download or read book An Integrated Model of Flight and Passenger Delay for Policy Analysis in the National Air Transportation System written by He Sun (S.M.) and published by . This book was released on 2016 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demand for air travel has increased over the years and so have airport delays and congestion. Delays have a huge impact on airline costs and influence the satisfaction of passengers, thus becoming an important topic of research in the field of air transportation. In recent literature, a Passenger Delay Calculator (PDC) was proposed to estimate passenger delays. The PDC computes passenger delays for a specified day based on actual flight schedules, fight cancellation information, and ticket booking information. However, since actual fight schedules are a necessary input, the PDC cannot be applied directly to hypothetical scenarios, in which different cancellation strategies are implemented and their impact on passenger delays are evaluated. A different model. Airport Network Delays (AND), has also been developed recently. The AND model estimates fight delays and relies on an input in which demand consists of the national planned fight schedule for any given day. In this thesis, we have attempted to incorporate these two models, the AND and the PDC, within a single framework, so that the resulting new integrated model can compute passenger delays without requiring an actual flight-schedule input. The integrated model would certainly increase the usefulness and applicability of the PDC since it could be used with hypothetical scenarios, different flight cancellation strategies, etc. We first describe the framework of the integrated model for studying flight delays and passenger delays at a daily scale. The integrated model includes four components: a Tail Recovery Model, Flight Cancellation Algorithms, a Refined Airport Network Delay (RAND) model, and the PDC. The Tail Recovery Model recovers missing tail numbers for many flights recorded in the Aviation System Performance Metrics (ASPM) database. The Flight Cancellation Algorithms implement alternative strategies for flight cancellations in the presence of large delays, such as cancelling flights with long flight delays or flights with a large ratio of flight delay divided by the seating capacity of the aircraft. The RAND model is an extension of the AND, in which two implicit assumptions of the AND model have been modified. The RAND model produces better estimates of flight delays in the sense of replicating actual flight delays obtained from the ASPM database. The overall integrated model is able to compute passenger delays and relies only on planned flight schedules rather than actual flight schedules. Moreover, the integrated model facilitates the study of factors that influence flight delays, such as weather conditions and demand fluctuations, and evaluates the impact of different cancellation strategies on passenger delays. Using actual data from different days, we conclude that passenger delays can be reduced on the busiest traffic days through improved flight cancellation strategies. In the second part of the thesis, we extend the RAND model to compute flight delays on a monthly scale using different capacity profiles as input. These capacity profiles can be directly obtained from Federal Aviation Administration (FAA) reports or constructed by using classical machine learning algorithms on airport-level data. We validate our estimation of flight delays by using data of January, 2008, showing that both the capacity profiles and the RAND perform well in terms of replicating the actual monthly flight delays. These results imply that an effort can be made to develop an integrated model incorporating the RAND, the PDC etc. at a monthly scale or even at any generic time scale.

The Global Airline Industry

Author : Peter Belobaba
Publisher : John Wiley & Sons
ISBN 13 : 1118881141
Total Pages : 536 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis The Global Airline Industry by : Peter Belobaba

Download or read book The Global Airline Industry written by Peter Belobaba and published by John Wiley & Sons. This book was released on 2015-07-06 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extensively revised and updated edition of the bestselling textbook, provides an overview of recent global airline industry evolution and future challenges Examines the perspectives of the many stakeholders in the global airline industry, including airlines, airports, air traffic services, governments, labor unions, in addition to passengers Describes how these different players have contributed to the evolution of competition in the global airline industry, and the implications for its future evolution Includes many facets of the airline industry not covered elsewhere in any single book, for example, safety and security, labor relations and environmental impacts of aviation Highlights recent developments such as changing airline business models, growth of emerging airlines, plans for modernizing air traffic management, and opportunities offered by new information technologies for ticket distribution Provides detailed data on airline performance and economics updated through 2013

Modeling Disruption Propagation in Networks

Author : Vishwakant Malladi
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis Modeling Disruption Propagation in Networks by : Vishwakant Malladi

Download or read book Modeling Disruption Propagation in Networks written by Vishwakant Malladi and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Propagation of disruptions across networks is a feature of the modern economy. An example of disruption propagation is in airline networks where disruptions, like hurricanes, cause delays which propagate through the network. Modeling the propagation of delays in airlines is difficult due to the complexity of schedules, the size of the network, and the inter-temporal nature of propagation. We propose a new parsimonious framework called time-lagged subordinated Markov chains to model propagation in networks directly from the delay data. We also develop an algorithm to calibrate the model and estimate the lag and the intensity of delay propagation across the nodes of the network. Through simulation, we quantify the total impact of propagation on delay times in the network and the contribution of each airport to delays for four airlines in USA. Our research helps managers separate the quantum of propagated delays from total delays, and identify the nodes in the network with the highest impact on propagation of delays.

Modelling and Managing Airport Performance

Author : Konstantinos Zografos
Publisher : John Wiley & Sons
ISBN 13 : 1118535472
Total Pages : 254 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Modelling and Managing Airport Performance by : Konstantinos Zografos

Download or read book Modelling and Managing Airport Performance written by Konstantinos Zografos and published by John Wiley & Sons. This book was released on 2013-06-17 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Dynamic Disruption Management in Airline Networks Under Airport Operating Uncertainty

Author : Lavanya Marla
Publisher :
ISBN 13 :
Total Pages : 41 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Dynamic Disruption Management in Airline Networks Under Airport Operating Uncertainty by : Lavanya Marla

Download or read book Dynamic Disruption Management in Airline Networks Under Airport Operating Uncertainty written by Lavanya Marla and published by . This book was released on 2020 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: Air traffic disruptions result in flight delays, cancellations, passenger misconnections, and ultimately high costs to aviation stakeholders. This paper proposes a jointly reactive and proactive approach to airline disruption management, which optimizes recovery decisions in response to realized disruptions and in anticipation of future disruptions. The approach forecasts future disruptions partially and probabilistically by estimating systemic delays at hub airports (and the uncertainty thereof) and ignoring other contingent disruptions. It formulates a dynamic stochastic integer programming framework to minimize network-wide expected disruption recovery costs. Specifically, our Stochastic Reactive and Proactive Disruption Management (SRPDM) model combines a stochastic queuing model of airport congestion, a flight planning tool from Boeing/Jeppesen, and an integer programming model of airline disruption recovery. We develop a solution procedure based on look-ahead approximation and sample average approximation, which enables the model's implementation in short computational times. Experimental results show that leveraging even partial and probabilistic estimates of future disruptions can reduce expected recovery costs by 1-2%, as compared to a myopic baseline approach based on realized disruptions alone. These benefits are mainly driven by the deliberate introduction of departure holds to reduce expected fuel costs, flight cancellations and aircraft swaps.

Dynamic Air Holding Program for Delay Assignment Applied to Barcelona Airport Case

Author : Danlin Zheng
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (112 download)

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Book Synopsis Dynamic Air Holding Program for Delay Assignment Applied to Barcelona Airport Case by : Danlin Zheng

Download or read book Dynamic Air Holding Program for Delay Assignment Applied to Barcelona Airport Case written by Danlin Zheng and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, the aircraft is the most used transport to travel between two very distanced places since it is the fastest way. For these last years, the demand of flights has been increasing immensely, so the airports have been also suffering the same increase in workload. Congestion is the word for the imbalance between demand and capacity. After applying a Ground Holding Program (GHP) optimization process before departure to solve this problem in a previous work [1], in this project the Air Holding Program (AHP) is presented in order to minimize the economic costs once in the landing phase. The main goal of this final degree project is to implement a basic model of AHP to minimize the delay costs near the single destination airport, Barcelona-El Prat in this case. The model of AHP is based on a dynamic stochastic GHP. The problem is solved using Gurobi libraries. Firstly, a pre-tactical phase in [1] of GHP is applied to make flights wait on ground according to capacity constraints in the Barcelona Airport. Then, once the flights are already flying towards the destination and entering the analysed area (500 km from destination airport), these flights will perform a Free Route Airspace (FRA) route in order to make them fly a straight route trajectory to possibly shorten the flight duration, which will cause that the arrival queue be again disordered making the capacity constraint again violated. In order to minimize the air delay costs, a second optimization to assign air delay is applied called AHP. Once the flights are leaving this airspace, they will be communicated their final assigned holding. Finally when they are entering the landing phase, they should first pass through the holding procedure to hold the time needed according to the delay assigned. Some of the conclusions after this research is that if capacity is reduced in destination airport, firstly a GHP can be applied before departure [1]. Then, an AHP can be applied for a second optimization purpose. If traffic is directly taken to be applied an AHP, the capacity flexibility is very reduced, while using pre-tactical regulation the capacity could be as small as desired. This outlines the advantage of using GHP and AHP together. Furthermore, although the main objective is to minimize the delay costs, if the flights are arriving earlier than scheduled in the most optimal case, the delays could be negative values, which means that costs are saved.

Urban Operations Research

Author : Richard C. Larson
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 598 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Urban Operations Research by : Richard C. Larson

Download or read book Urban Operations Research written by Richard C. Larson and published by Prentice Hall. This book was released on 1981 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt:

New Concepts and Methods in Air Traffic Management

Author : Lucio Bianco
Publisher : Springer Science & Business Media
ISBN 13 : 9783540416371
Total Pages : 248 pages
Book Rating : 4.4/5 (163 download)

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Book Synopsis New Concepts and Methods in Air Traffic Management by : Lucio Bianco

Download or read book New Concepts and Methods in Air Traffic Management written by Lucio Bianco and published by Springer Science & Business Media. This book was released on 2001-05-08 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents new concepts and methods in Air Traffic Management, in particular: Collaborative Decision Making, as it incorporates for the first time airline companies in the management process; Congestion Pricing, as many part of the systems are and will remain saturated, hence only leveling of demand can contribute to global efficiency; Flow Management Methods, as the most important tools in planning and analysis; Models of Controller-Pilot Interaction, as deregulation increases the workload of this communication; Weather Forecast, as airport capacity is strongly affected by weather conditions.