scholarly journals Modeling Air Traffic Situation Complexity with a Dynamic Weighted Network Approach

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Hongyong Wang ◽  
Ziqi Song ◽  
Ruiying Wen
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Flow Characteristics ◽  
Air Traffic Management ◽  
Air Traffic ◽  
System Capacity ◽  
Traffic Situation ◽  
Flight Delays ◽  
Weighted Network ◽  
Potential Applications

In order to address the flight delays and risks associated with the forecasted increase in air traffic, there is a need to increase the capacity of air traffic management systems. This should be based on objective measurements of traffic situation complexity. In current air traffic complexity research, no simple means is available to integrate airspace and traffic flow characteristics. In this paper, we propose a new approach for the measurement of air traffic situation complexity. This approach considers the effects of both airspace and traffic flow and objectively quantifies air traffic situation complexity. Considering the aircraft, waypoints, and airways as nodes, and the complexity relationships among these nodes as edges, a dynamic weighted network is constructed. Air traffic situation complexity is defined as the sum of the weights of all edges in the network, and the relationships of complexity with some commonly used indices are statistically analyzed. The results indicate that the new complexity index is more accurate than traffic count and reflects the number of trajectory changes as well as the high-risk situations. Additionally, analysis of potential applications reveals that this new index contributes to achieving complexity-based management, which represents an efficient method for increasing airspace system capacity.

A Method for Predicting Air Traffic Network Flow by Short-Term Probability

2015 ◽  
Vol 713-715 ◽  
pp. 1500-1503
Author(s):  
Jin Feng Kong ◽  
Yu Wang
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Network Flow ◽  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Main Task ◽  
Traffic Flow Prediction ◽  
Flow Prediction ◽  
Probability Prediction

The main task of air traffic management is making adjustments when traffic flow reaches to the maximum capacity of air traffic control. It aims to increase the use ratio of airport and airspace. Air traffic flow prediction is one important part of air traffic management. Usually, air traffic prediction is divided into deterministic flow prediction and probability prediction .We research on the probability prediction on the basis of deterministic flow prediction. By analyzing aircrafts’ experienced flight time distribution, giving experienced distribution function and computing method. The data analysis shows that the accuracy rate increased by 22%.

scholarly journals Relationship between air traffic demand, safety and complexity in high density airspace in Europe

2020 ◽  
Vol 314 ◽  
pp. 01004
Author(s):  
Tamara Pejovic ◽  
Fedja Natjasov ◽  
Dusan Crnogorac
Keyword(s):  
Traffic Management ◽  
Flow Characteristics ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Traffic Demand ◽  
Traffic System ◽  
Traffic Distribution ◽  
Traffic Performance ◽  
Aircraft Type ◽  
Conflict Risk

Air traffic performance of the European air traffic system depends not only on traffic demand but also on airspace structure and its traffic distribution. These structural (airspace structure) and flow characteristics (factors such as traffic volume, climbing/descending traffic, mix of aircraft type, military area activity) influence airspace complexity, which can affect controller workload and influence the probability of safety occurrence. In other words, all these dynamic and static complexity components can potentially have an impact upon the safety of the air traffic management (ATM) system. Having in mind fluctuation in traffic on daily, seasonal or annual level in certain airspace, a few questions arise: How changes in traffic demand influence complexity and conflict risk? Is there any correlation between traffic demand, conflict risk and complexity? Are there any differences between seasons? For that purpose, an investigation is performed on FAB Europe Central (FABEC) airspace, based on two weeks of operated traffic during the summer and winter of 2017. Air traffic complexity is estimated using the EUROCONTROL complexity metrics, while conflict risk is assessed using the conflict risk assessment simulation tool. Results show that certain positive relationship exists between traffic demand, conflict risk and complexity.

scholarly journals Evaluation of Management System Effectiveness in the Preparation of the Aircraft for Flight in Faulty Conditions

2015 ◽  
Vol 2 (1) ◽  
pp. 13-18 ◽  
Author(s):  
Ruta Bogdane ◽  
Andris Vaivads ◽  
Dejan Dencic
Keyword(s):  
Traffic Management ◽  
Management System ◽  
Air Traffic Management ◽  
Spare Parts ◽  
Air Traffic ◽  
Maintenance Scheduling ◽  
Flight Delays ◽  
System Effectiveness

Abstract Most flight delays in aviation enterprises are related to air traffic management and technical centers. This can happen for various reasons: untimely removal of defects, lack of spare parts, deficiencies in maintenance scheduling, etc. Another reason may be inefficient management in the system of preparing the aircraft for departure. The article suggests a possible option of such an assessment as well as the results obtained from the use of this methodology applied to a specific airline.

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.

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 An improved 4D trajectory modeling approach for traffic management

2021 ◽  
Author(s):  
Zhou Shen ◽  
Xiaomo Yu
Keyword(s):  
Traffic Flow ◽  
Traffic Safety ◽  
Data Model ◽  
Traffic Management ◽  
Air Transportation ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Trajectory Prediction ◽  
Air Traffic Flow ◽  
Aircraft Performance

Abstract Under the premise that the capability of existing air transportation system can no longer meet the demand of air traffic flow, 4D trajectory operation based on accuracy is the basis of future air traffic management (ATM) system to achieve the optimization of flight trajectory. This article investigates the establishment of a data model system based on aircraft performance and operation procedures, which can be applied to 4D trajectory prediction to greatly reduce or avoid the possibility of flight conflicts in the air, enhance air traffic safety and improve air traffic flow.

Integer Programming Model for Solving Delay Problem in Air Traffic Management System

2020 ◽  
Vol 17 (7) ◽  
pp. 3160-3163
Author(s):  
Ellis Mardiana Panggabean ◽  
Herman Mawengkang ◽  
M. Zarlis ◽  
Syahril Efendi
Keyword(s):  
Integer Programming ◽  
Traffic Management ◽  
Management System ◽  
Programming Model ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Flight Delays ◽  
Integer Programming Model ◽  
Operational Costs ◽  
Traffic Management System

Nowadays, due to the rapid growth of air traffic and airspace congestion flight delays are becoming serious problems. This situation happens due to the demand capacity imbalances in air traffic management system. The deterioration of the expected service and operational costs would be the direct impact of this problem. Network-wide air traffic flow management can be regarded as an effective way to ease demand-capacity imbalances globally and would be able to reduce airspace congestion and flight delays. This paper proposes an integer programming model to solve the problem. The objective function consists of minimizing operational costs and risk costs.

scholarly journals Network Characteristics Analysis of Air Traffic Management Technical Support System Based on Multi-source Weighting

2019 ◽  
Author(s):  
Kai Fan ◽  
Songchen Han ◽  
Wei Li ◽  
Lisha Yu ◽  
Jiayu Qual ◽  
...  
Keyword(s):  
Complex Network ◽  
Support System ◽  
Traffic Management ◽  
Small World ◽  
Air Traffic Management ◽  
Technical Support ◽  
Air Traffic ◽  
Clustering Coefficient ◽  
Weighted Network ◽  
Characteristics Analysis

In order to make reasonable suggestions for the expansion of the Air Traffic Management Technical Support System (ATMTSS), it is necessary to conduct a comprehensive analysis of the ATMTSS network. This paper constructs a multi-source weighted ATMTSS network which considers the working characteristics and geographical locations of the facilities. The complex network metrics, such as degree, node strength, clustering coefficient, average path length, diameter, and the improved Fast-Newman (FN) algorithm, are used in the analysis of the network. The results show that the ATMTSS network is a complex network with small-world characteristics and random characteristics, and that the distribution of ATMTSS network support capability is not the same as the topology network structure. The weighted network is looser than the non-weighted network. The air traffic management in remote areas is less affected by facilities than that in developed areas.

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.

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