Toward Air Traffic Complexity Assessment in New Generation Air Traffic Management Systems

Prandini, Maria; Piroddi, Luigi; Puechmorel, Stéphane; Brázdilová, Silvie Luisa

doi:10.1109/tits.2011.2113175

Cited by 113 publications

(63 citation statements)

References 25 publications

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“…In past decades, several research parties were concerned with the mathematical description of sector capacity and as a result, multiple methods were developed to solve the problem (as shown in (Prandini et al, 2011)). A large set of these methods consists of the ones based on regression models.…”

Section: Existing Methods Of Airspace Capacity Estimationmentioning

confidence: 99%

Applying Airspace Capacity Estimation Models to the Airspace of Hungary

Számel

Mudra

Géza

2015

Period. Polytech. Transp. Eng.

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Section: Existing Methods Of Airspace Capacity Estimationmentioning

confidence: 99%

Applying Airspace Capacity Estimation Models to the Airspace of Hungary

Számel

Mudra

Géza

2015

Period. Polytech. Transp. Eng.

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“…Thus, betweenaircraft interaction (e.g., proximity relationship) significantly affects the controller's workload and is the essence of traffic situation complexity [1,2,29]. Among all air traffic situations faced by the controller, in addition to the betweenaircraft relationships, there are also relationships between aircraft and airspace structure (e.g., an aircraft is approaching a metering fix or deviating from the authorized airway).…”

Section: Sector Complexitymentioning

confidence: 99%

Modeling Air Traffic Situation Complexity with a Dynamic Weighted Network Approach

Wang

Song

Ruiying

2018

Journal of Advanced Transportation

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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.

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“…Only specific areas of the ATM system have been elaborated ( (Zellweger and Donohue, 2001;AE Reports 1988;Nolan 2010). Nonetheless, they have awareness-raising effects, because the human, technical and information managing components of the functional ATM systems have been described jointly.…”

Section: Short Literature Reviewmentioning

confidence: 99%

Functional Modelling of the Air Traffic Control and the Integration Perspectives of the Integrated Services

Sándor¹

2017

Period. Polytech. Transp. Eng.

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Aviation is the sector within transportation which manages the most data during operation. Air traffic control has a specific position, because it needs a significant amount of data in order to fulfil its tasks and its complex processes require close cooperation between the organizational units within the whole sector. These data are provided by the industry partners on mandatory base, in their own interest, in good quality. This article explores the structure and organization of air traffic control, the functions fulfilled during the operation of the organization and the managed data connected to these functions as well as the strategic possibilities of forming integrated solutions. Necessary information for the tasks can be identified by the functional modelling of air traffic control. The elaborated model provides the basis for the establishment of complex content provider systems which can manage information regarding air traffic control and even aviation related data jointly. The application of these systems contributes to the increase of the efficiency of traffic operations and the more economical operations even in case of air or ground based aviation organizations. Keywords air traffic management, air traffic control, aviation information system, functional modelling, analysis of information systems, information structure IntroductionWithin transportation, aviation is the most standardized and most regulated sector due to its international nature. These processes started after the Second World War when the boom of the industry had begun. Nevertheless, it is the most under-documented sector from a scientific viewpoint. The international scientific literature contains few scientific publications which present research findings and methods conducted by a systemoriented approach in the field of comprehensive functional modelling of air traffic control.In connection with the shuttle of the aircrafts a significant amount of data is generated concerning the industry partners (airlines, airports, air navigation service centres, etc.) -more than in any other sector of transportation. However, the complex processing and usage of these data is not fulfilled, the data analysis is realized typically only on micro-level, although the need for the fulfilment of macro-level analyses also appears. Macro level analysis means the global summary of the available data, while micro level analysis refers to a more precise, detailed and comprehensive examination of the available data.Out of the collected data the actors process and storage only the ones that are necessary and useful date for their work. Partially it is because of the market competition and the fear of competitors, partially because of the significant fragmentation of the connected systems.This happens despite the fact that nowadays the computing and storage capacity can manage the data quantities which are generated in connection with aviation. Currently, air navigation service providers (ANSP) and airlines are those entities where aviation related dat...

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Toward Air Traffic Complexity Assessment in New Generation Air Traffic Management Systems

Cited by 113 publications

References 25 publications

Applying Airspace Capacity Estimation Models to the Airspace of Hungary

Applying Airspace Capacity Estimation Models to the Airspace of Hungary

Modeling Air Traffic Situation Complexity with a Dynamic Weighted Network Approach

Functional Modelling of the Air Traffic Control and the Integration Perspectives of the Integrated Services

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