Manual On Collaborative Air Traffic Flow Management Atfm
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Manual On Collaborative Air Traffic Flow Management Atfm
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Author :
language : en
Publisher:
Release Date : 2018
Manual On Collaborative Air Traffic Flow Management Atfm written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Air traffic control categories.
Manual On Collaborative Air Traffic Flow Management
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Author :
language : en
Publisher:
Release Date : 2014
Manual On Collaborative Air Traffic Flow Management written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Air traffic control categories.
Cost Based Linear Holding Practice And Collaborative Air Traffic Flow Management Under Trajectory Based Operations
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Author : Yan Xu
language : en
Publisher:
Release Date : 2018
Cost Based Linear Holding Practice And Collaborative Air Traffic Flow Management Under Trajectory Based Operations written by Yan Xu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
The current air transportation system is reaching the capacity limit in many countries/regions across the world. It tends to be less efficient or even incapable sometimes to deal with the enormous air traffic demand that continues growing year by year. This has been evidenced by the record-breaking flight delays reported in various places in recent years, which, have resulted in notable economical loses. To mitigate this imbalance between demand and capacity, air traffic flow management (ATFM) is usually one of the most useful options. It regulates traffic flows according to air traffic control capacity while preserving safety and efficiency of flights. ATFM initiatives can be considered well in advance of the flight execution - more than one year earlier - based on air traffic forecasts and capacity plans, and continue in effect, with information updated, to eventually the day of operation. This long effective period will inevitably allow substantial collaboration among different stakeholders, including the ATFM authority, airspace users (AUs), air navigation service providers (ANSPs), airports, etc. Under the forthcoming paradigm of trajectory based operations (TBO), the flight 4-Dimensional trajectory has been anticipated to further enhance the connection between flight planning and execution phases, thus fostering such collaboration in ATFM. Moreover, under nowadays operations, ground holding is a typical measure undertaken in many widely-used ATFM programs. Even though holding on the ground, at the origin airport, has the advantage of fuel efficiency over the air holding, it turns out that its feature of low flexibility would, in some circumstances, affect the ATFM performance. Yet, with proper flight trajectory management, it is also possible to have delay airborne at no extra fuel cost than performing ground holding. This PhD thesis firstly focuses on this trajectory management, specifically on a cost-based linear holding practice. The linear holding is realized progressively along the planned trajectory through precise speed control which can be enabled by aircraft trajectory optimization techniques. Some typical short/mid haul flights are simulated for achieving the maximum airborne delay that can be yielded using same fuel consumption as initially scheduled. Based on this, its potential applicability is demonstrated. A network ATFM model is adapted from the well-studied Bertsimas Stock-Patterson (BSP) model, incorporating different types of delay (including the linear holding) to flexibly handle the traffic flow with a set of given (yet changeable) capacities. In order that the benefits of the model can be fully realized, AUs are required to participate in the decision-making process, submitting for instance the maximum linear holding bound per flight along the planned trajectory. Next, increased AUs' participation is expected for a proposed Collaborative ATFM framework, in which not only various delay initiatives are considered, but also alternative trajectories which allow flights to route out of the identified hotspot areas. A centralized linear programming optimization model then computes for the best trajectory selections and the optimal delay distributions across all concerned flights. Finally, ANSPs' involvement is additionally considered for the framework, through dynamic airspace reconfiguration, further enhancing the collaboration between ATFM stakeholders. As such, the traffic flow regulation and sector opening scheduling are bounded into an integrated optimization model, and thus are conducted in a synchronized way. Results indicate that the performance of demand and capacity balancing can be even improved if compared with the previous ATFM models presented in this PhD thesis.
Manual On Collaborative Air Traffic Flow Management
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Author :
language : en
Publisher:
Release Date : 2012
Manual On Collaborative Air Traffic Flow Management written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Air traffic control categories.
New Concepts And Methods In Air Traffic Management
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Author : Lucio Bianco
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
New Concepts And Methods In Air Traffic Management written by Lucio Bianco and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Business & Economics categories.
This volume is a compendium of papers presented during the International Workshop on Air Traffic Management, which took place in Capri, Italy, on September 26-30, 1999. The workshop was organized by Italian National Research Council in co-operation with the University of Rome "Tor Vergata", and the Massachusetts Institute of Technology (MIT). This was the fifth in a series of meetings held periodically over a ten-year span for the purpose of encouraging an exchange of views and fmdings by scientists in the field of Air Traffic Management (A TM). The papers presented at the workshop dealt with a wide range of topics and covered different aspects that are currently important in Air Traffic Control and Air Traffic Management. This volume contains only a subset of the papers presented, namely the ones that addressed the main area emphasis in the workshop, new concepts and methods. The subject of the first two papers is Collaborative Decision Making (CDM), a concept which embodies, to a large extent, the new philosophy of partial decentralization and increased delegation of responsibilities to users in A TM operations. In the first of these papers Wambsganss describes the original CDM project and its initial implementation in the form of the Ground Delay Program Enhancements. He also provides a brief description of some of the tools that have been developed as part of the CDM effort and identifies future research and development requirements.
A Tractable Optimization Framework For Air Traffic Flow Management Addressing Fairness Collaboration And Stochasticity
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Author : Shubham Gupta (Ph. D.)
language : en
Publisher:
Release Date : 2012
A Tractable Optimization Framework For Air Traffic Flow Management Addressing Fairness Collaboration And Stochasticity written by Shubham Gupta (Ph. D.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
We propose a tractable optimization framework for network Air Traffic Flow Management (ATFM) with an eye towards the future. The thesis addresses two issues in ATFM research: a) fairness and collaboration amongst airlines; and b) uncertainty inherent in capacity forecasts. A unifying attraction of the overall dissertation is that the Collaborative Decision-Making (CDM) paradigm, which is the current philosophy governing the design of new ATFM initiatives, is treated as the starting point in the research agenda. In the first part of the thesis, we develop an optimization framework to extend the CDM paradigm from a single-airport to a network setting by incorporating both fairness and airline collaboration. We introduce different notions of fairness emanating from a) First-Scheduled First-Served (FSFS) fairness; and b) Proportional fairness. We propose exact discrete optimization models to incorporate them. The first fairness paradigm which entails controlling number of reversals and total amount of overtaking is especially appealing in the ATFM context as it is a natural extension of Ration-By-Schedule (RBS). We allow for further airline collaboration by proposing discrete optimization models for slot reallocation. We provide empirical results of the proposed optimization models on national-scale, real world datasets that show interesting tradeoffs between fairness and efficiency. In particular, schedules close to the RBS policy (with single digit reversals) are possible for a less than 10% increase in delay costs. We utilize case studies to highlight the considerable improvements in the internal objective functions of the airlines as a result of slot exchanges. Finally, the proposed models are computationally tractable (running times of less than 30 minutes). In the second part, we address the important issue of capacity uncertainty by presenting the first application of robust and adaptive optimization in the ATFM problem. We introduce a weather-front based approach to model the uncertainty inherent in airspace capacity estimates resulting from the impact of a small number of weather fronts. We prove the equivalence of the robust problem to a modified instance of the deterministic problem; solve the LP relaxation of the adaptive problem using affine policies; and report extensive empirical results to study the inherent tradeoffs.
Collaborative Resource Allocation Strategies For Air Traffic Flow Management
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Author : Amy Miyoung Kim
language : en
Publisher:
Release Date : 2011
Collaborative Resource Allocation Strategies For Air Traffic Flow Management written by Amy Miyoung Kim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
The Airspace Flow Program (AFP) is a traffic management initiative that aims to mitigate delays arising from en route capacity constraints, by holding flights on the ground and metering their flow through constrained regions. It has been successful in controlling traffic with reasonable delays, but the procedures must be improved upon to handle future projected demands. This dissertation explores a future AFP concept that incorporates structured user preference inputs in a centrally-managed assignment of ground delays as well as reroutes. However, the commercial aviation industry is very competitive, and airlines are reticent to share detailed operational information without clear benefits in return. This idea must be taken into consideration when designing flight resource assignment strategies, as we address a very fundamental question in transportation service provision: how does a central authority allocate resources efficiently when they are uncertain about what users want? A modeling framework was developed to evaluate and compare allocation strategies, under differing assumptions regarding the information that traffic managers may (or may not) have about airline flight costs. We introduce several resource allocation strategies that feature different allocation rules and route preference inputs requested of flight operators. We assess the total user-cost impact of each allocation strategy through a simple generalized cost function that represents the cost of delay for each flight caught in the AFP. This flight cost function consists of two parts: the first is a simple representation of operator flight cost characteristics that the traffic managers have adopted, while the second consists of a flight's routing preferences that are not captured by the first, and therefore are privately known to each flight's operator but not to traffic managers unless the information is offered. In one allocation strategy, users are asked to provide their private information in exchange for the employment of a resource allocation rule that rewards flights for early submission. In another, users are not asked to provide their proprietary information but are not offered the same "guarantee" regarding resource allocations, i.e. flights have less idea about what resources they will receive in the allocation. We identify some basic properties about the relationships of the assignment schemes' total flight cost efficiency results, under changing assumptions about the quality of the central decision maker's knowledge about the flight operators' route preferences. Numerical examples illustrate situations where sacrificing a system-optimal allocation rule for a sequential one (First Submitted, First Assigned, or FSFA), in order to obtain and utilize flight operators' private information about route preferences, will result in more user cost efficient resource allocations. The examples also illustrate situations where the opposite is true, i.e. it is more efficient to use a system-optimal allocation without private route preference information. Also it is found that the existing Ration-by-Schedule algorithm performs poorly in the context of our modeling framework. The above results do not consider the effects of gaming behavior. As a result, we also study the gaming and truth-telling behavior of flight operators in response to the competition for limited en route resources. It is demonstrated that operators are incentivized to provide untruthfully high inputs in schemes where a system-optimal allocation rule is used. Using a gaming analysis, it is also demonstrated that the operators' equilibrium submission strategies in the FSFA scheme can vary significantly depending on the conditions of the AFP and their private information. However, it is also shown that flights are highly incentivized to submit at the very beginning of the FSFA planning period, which is favorable for air traffic flow management (ATFM) planning and coordination.
Integrated Plan For Air Traffic Management Research And Technology Development
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Author : Thomas H. Proeschel
language : en
Publisher:
Release Date : 1999
Integrated Plan For Air Traffic Management Research And Technology Development written by Thomas H. Proeschel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Air traffic control categories.
Stochastic Programming Approaches To Air Traffic Flow Management Under The Uncertainty Of Weather
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Author : Yu-Heng Chang
language : en
Publisher:
Release Date : 2010
Stochastic Programming Approaches To Air Traffic Flow Management Under The Uncertainty Of Weather written by Yu-Heng Chang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Air traffic capacity categories.
As air traffic congestion grows, air traffic flow management (ATFM) is becoming a great concern. ATFM deals with air traffic and the efficient utilization of the airport and airspace. Air traffic efficiency is heavily influenced by unanticipated factors, or uncertainties, which can come from several sources such as mechanical breakdown; however, weather is the main unavoidable cause of uncertainty. Because weather is unpredictable, it poses a critical challenge for ATFM in current airport and airspace operations. Convective weather results in congestion at airports as well as in airspace sectors. During times of congestion, the decision as how and when to send aircraft toward an airspace sector in the presence of weather is difficult. To approach this problem, we first propose a two-stage stochastic integer program by emphasizing a given single sector. By considering ground delay, cancellation, and cruise speed for each flight on the ground in the first stage, as well as air holding and diversion recourse actions for each flight in the air in the second stage, our model determines how aircraft are sent toward a sector under the uncertainty of weather. However, due to the large number of weather scenarios, the model is intractable in practice. To overcome the intractability, we suggest a rolling horizon method to solve the problem to near optimal. Lagrangian relaxation and subgradient method are used to justify the rolling horizon method. Since the rolling horizon method can be solved in real time, we can apply it to actual aircraft schedules to reduce the costs incurred on the ground as well as in airspace. We then extend our two-stage model to a multistage stochastic program, which increases the number of possible weather realizations and results a more efficient schedule in terms of costs. The rolling horizon method as well as Lagrangian relaxation and subgradient method are applied to this multistage model. An overall comparison among the previously described methodologies are presented.
Advanced Technologies For Air Traffic Flow Management
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Author : Heinz Winter
language : en
Publisher: Springer
Release Date : 1994
Advanced Technologies For Air Traffic Flow Management written by Heinz Winter and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Science categories.
Papers in this volume address the relationship between society and traffic, the potential of demand management, and the methods of mathematical modelling of traffic flows. A comprehensive overview is given of the present state of the art of flow management. As leading examples the flow management systems of EUROCONTROL and FAA are discussed in great detail. Examples of advanced new concepts and products using machine intelligence for the optimization of air traffic flow are described. The situation at the Frankfurt Airport is used to demonstrate the potential for capacity improvements by the use of these advanced technologies.
