scholarly journals Optimization of standard arrival procedures at Sheremetyevo airport using rnav path terminators

2021 ◽  
Vol 24 (6) ◽  
pp. 17-26
Author(s):  
G. A. Gasparyan ◽  
M. V. Kulakov
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Probabilistic Method ◽  
Main Idea ◽  
Air Traffic Management ◽  
Control Area ◽  
Terminal Control ◽  
Flow Management ◽  
Traffic Flow Management ◽  
New Ideas

Holding patterns are established at international airports to make the arriving traffic flow smooth and efficient. One of the main aims of holding patterns is to extend the aircraft arrival route, which allows ATC units to arrange the sequence on the arrival routes more effectively. The article considers the current methods and offers new ideas to improve the efficiency of the inbound traffic flow management using Paths and Terminators concept with HA holding patterns for standard arrival routes at Sheremetyevo Airport. As the main idea for optimizing air traffic management on this stage and reducing the workload on the controller, it is proposed to create extra routes in addition to the existing ones which include holding patterns, that will be used when needed to ensure a well-ordered traffic. The probabilistic method is used to calculate the maximum capacity of existing and proposed arrival routes with holding patterns. The proposed options for restructuring the airspace of the Moscow Terminal Control Area with preserving waypoints of starting standard arrival routes are presented.

The Airline's Perception of Air Traffic Management

1990 ◽  
Vol 43 (2) ◽  
pp. 204-208 ◽  
Author(s):  
Colin Hume
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Flow Management ◽  
Air Traffic Flow Management ◽  
Air Traffic Flow ◽  
Traffic Flow Management ◽  
Reverse Situation

The situation today can be described as very frustrating for a variety of reasons. Air traffic flow-management (ATFM) has dominated the scene for many years since its conception in 1980. At that time, the principles of ATFM were directed at ensuring that temporary or isolated sector overloads could be handled by ATC and only when broad, prolonged overloads were expected was ATFM activated. Today, we have the reverse situation, where ATFM is active throughout 16 h or more during each day. The system as such was never intended or planned to cope with such a burden and the results are seen in a variety of forms, including departure delays as shown in Fig. 1.

A Multi-Agent Simulation of Collaborative Air Traffic Flow Management

2009 ◽  
pp. 357-381 ◽  
Author(s):  
Shawn R. Wolfe ◽  
Peter A. Jarvis ◽  
Francis Y. Enomoto ◽  
Maarten Sierhuis ◽  
Bart-Jan van Putten
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Air Traffic ◽  
Simulation Design ◽  
Flow Management ◽  
Air Traffic Flow Management ◽  
Air Traffic Flow ◽  
Traffic Flow Management ◽  
Agent Simulation ◽  
Traffic Management System

Today’s air traffic management system is not expected to scale to the projected increase in traffic over the next two decades. Enhancing collaboration between the controllers and the users of the airspace could lessen the impact of the resulting air traffic flow problems. The authors summarize a new concept that has been proposed for collaborative air traffic flow management, the problems it is meant to address, and our approach to evaluating the concept. The authors present their initial simulation design and experimental results, using several simple route selection strategies and traffic flow management approaches. Though their model is still in an early stage of development, these results have revealed interesting properties of the proposed concept that will guide their continued development, refinement of the model, and possibly influence other studies of traffic management elsewhere. Finally, they conclude with the challenges of validating the proposed concept through simulation and future work.

Artificial Intelligence-Based Architecture for Real-Time Traffic Flow Management

1998 ◽  
Vol 1651 (1) ◽  
pp. 53-58 ◽  
Author(s):  
Adel W. Sadek ◽  
Brian L. Smith ◽  
Michael J. Demetsky
Keyword(s):  
Artificial Intelligence ◽  
Real Time ◽  
Traffic Flow ◽  
Traffic Management ◽  
Traffic Information ◽  
Case Based Reasoning ◽  
Flow Management ◽  
Real Time Traffic ◽  
Highway Network ◽  
Traffic Flow Management

Real-time traffic flow management has recently emerged as one of the promising approaches to alleviating congestion. This approach uses real-time and predicted traffic information to develop routing strategies that attempt to optimize the performance of the highway network. A survey of existing approaches to real-time traffic management indicated that they suffer from several limitations. In an attempt to overcome these, the authors developed an architecture for a routing decision support system (DSS) based on two emerging artificial intelligence paradigms: case-based reasoning and stochastic search algorithms. This architecture promises to allow the routing DSS to ( a) process information in real time, ( b) learn from experience, ( c) handle the uncertainty associated with predicting traffic conditions and driver behavior, ( d) balance the trade-off between accuracy and efficiency, and ( e) deal with missing and incomplete data problems.

The Application of Cellular Automata in Traffic Flow Management and the Present Situation

2014 ◽  
Vol 513-517 ◽  
pp. 2702-2705
Author(s):  
Hong Xue Xu ◽  
Dong Mei Zhang
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Traffic Management ◽  
Research Direction ◽  
Development Trend ◽  
Research Process ◽  
Traffic Network ◽  
Flow Management ◽  
Cellular Automata Model ◽  
Traffic Flow Management

Review the research process and results of cellular automaton used for traffic flow, and against the theory based on cellular automata model established lane, two-lane model, multi-lane traffic network model and discuss the model. Then introduced the research status and development trends of various models. Finally, prospect the future of the cellular automata used to traffic flow managements development trend and research direction, and provide a reference for building traffic management mode suit to the characteristics of the transportation.

Development of a Style Guide for the Traffic Flow Management Traffic Situation Display Graphical User Interface

2016 ◽  
Vol 60 (1) ◽  
pp. 1394-1398 ◽  
Author(s):  
Robert Bastholm ◽  
Anthony Masalonis ◽  
Tanya Yuditsky
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Traffic Management ◽  
Federal Aviation Administration ◽  
Air Traffic ◽  
Management Tool ◽  
Traffic Situation ◽  
User Centered Design ◽  
Flow Management ◽  
Traffic Flow Management

Traffic Flow Management (TFM) functions to minimize airspace congestion and maximize safety and efficiency. TFM personnel at the U.S. Federal Aviation Administration use Traffic Situation Display (TSD) software to observe air traffic and weather systems and issue strategic congestion-mitigation initiatives to Air Traffic Control facilities. Since its initial deployment, the TSD has been augmented by many groups of developers. This distributed process has led to an inconsistent interface that does not always adhere to best usability practices, especially because during the initial stages of development there was little human factors involvement. This can have a detrimental effect on new users learning the interface and also may make experienced users more likely to make errors. We developed a style guide for an operational Air Traffic Management tool, and a companion consistency assessment, to help developers (a) adhere to usability principles for future software expansions and (b) bring older portions of the interface into compliance with user-centered design. We discuss the process of style guide development—including the unique aspects of the TFM user population and application domain and their implications for creating a style guide for TFM software—and the applicability of our guide beyond the TSD tool.

scholarly journals Investigation of Flight Traffic Arrangement With ICA Colonial Competition Algorithm In Air Traffic Management

2021 ◽  
Author(s):  
Mahdi Yousefzadeh Aghdam ◽  
Seyed Reza Kamel Tabbakh ◽  
Seyed Javad Mahdavi Chabok ◽  
Maryam Kheyrabadi
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Mathematical Problem ◽  
Air Traffic ◽  
Flight Delays ◽  
Flow Management ◽  
Air Traffic Flow Management ◽  
Air Traffic Flow ◽  
Traffic Flow Management ◽  
Using Data

Abstract Air traffic flow management is one of the most challenging work systems in the world. The issue of aircraft traffic arrangement to prevent interference and flight delays is one of the most important issues in the field of air traffic flow management. In most researches in this field, incoming or outgoing flights are usually dealt with separately and attempts have been made to provide solutions using data mining methods, mathematical problem solving, etc.‌ To solve the problem in this paper, to select the best aircraft ready for operation (landing or takeoff), we use the ICA colonial competition algorithm, which allows selecting aircraft for incoming or outgoing flights, according to various parameters. In designing the system, an attempt has been made to make the symbols more effective in flight, to give proper weight, and to optimize the selection of colonizers according to the lower cost. To evaluate the proposed method, flight data of Mashhad airport were used for testing. The results of the system test indicate better choices for landing or flying aircraft and the acceptable performance of the colonial competition algorithm compared to the latest work done to solve the flights landing and take off sequence problem as an innovative algorithm.

scholarly journals Insights of Models for Air Traffic Management System

2019 ◽  
Vol 8 (3S3) ◽  
pp. 459-467
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Flow Management ◽  
Air Traffic Flow Management ◽  
Traffic Flow Management ◽  
The Usa ◽  
Comprehensive Survey ◽  
Traffic Management System

In many airports and air markets, congestion problems & weather are becoming more and more severe. To keep Air Traffic Control (ATC) against the overload of Air Traffic Flow Management (ATFM) activity, attempts to anticipate and prevent the resulting overload and limit the delays. A delay in the arrival of the flight (so-called congestion) occurs when the traffic expects to surpass the arrival and departure capacity of the airport or the airsector capacity. There is a very extensive over general reasoning to be considered in this area. Generally speaking, most of the references found in the literature published a few years ago refer to the simplest versions, those that do not take airsector into account. This happens because the research was first done in the USA only, where traffic issues basicallylimited to the airports congestion. In the paper we present a comprehensive survey of the key optimization models of literature.

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