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- 1. 1Functional Modelling of the Air Traffic Control Abstract 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 mandatorybase,intheirowninterest,ingoodquality.Thisarticle 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 1 Introduction Within transportation, aviation is the most standardized and most regulated sector due to its international nature. These pro- cesses started after the Second World War when the boom of the industry had begun. Nevertheless, it is the most under-doc- umented sector from a scientific viewpoint. The international scientific literature contains few scientific publications which present research findings and methods conducted by a system- oriented 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 com- plex 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 avail- able 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. Par- tially 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 data are mostly concentrated. While airlines manage data connected to their flights and fleet (typically air side data), air navigation service providers collect and manage data on a border spectrum in their area of competence. For more efficient traffic management, ANSPs have already formed the channels with which information can be shared, thus increas- ing the efficiency of traffic control on every time scale of flying (strategic, tactical and operational level of planning). 1 ATS Operations and Airport Coordination Department, HungaroControl Hungarian Air Navigation Services H-1185 Budapest, 33-35. Igló Street, Hungary Corresponding author email: [email protected] Volume(2017), paper 9270 DOI: 10.3311/PPtr.9270 Creative Commons Attribution b research article PP Periodica Polytechnica Transportation Engineering Functional Modelling of the Air Traffic Control and the Integration Perspectives of the Integrated Services Zsolt Sándor1 Received 30 May 2016; accepted 03 December 2016
- 2. 2 Period. Polytech. Transp. Eng. Zs. Sándor The sharing of different information is realized by the use of diverse, totally independent systems in most cases. Thus the information sharing between the adjacent or directly (function- ally) connected services is achieved whereas the integrated data management with other systems and services is not (ICAO Doc 10039). Information sharing can be done by event and / or time controlled direct data handling between two services or with data queries from a central system to which the access is granted in advance. The purpose of the SWIM (System Wide Information Man- agement) initiation – supported by the FAA and EUROCON- TROL – is to perform a common platform for the industry partners where all the necessary information is available com- prehensively in this way supporting them in the development of more efficient air transport. In the interest of this, the indus- try has set the objective of the integrated management of the data comming from different systems (Kampichler and Eier, 2014; SWIM Concept of Operations, 2013). The aim of the article is to present the model of the system of information of air traffic control, which contains the man- aged information systematically and comprehensively with the detail analysis of the air navigation service provider and air traffic control fulfilled by the service provider. The model is based on the results of the functional modelling of the ser- vices fulfilled by the ANSP. The elaborated analysis connected to the model presents the explored relationships between the identified data elements, thus the results can be considered as a detailed system specification of a complex data model in the field of air transportation management. The system of information model may provide a basis for the development of complex systems which are able to manage the data related to air traffic control and the data connected to air transport jointly. The interoperable application of complex systems contributes to the increase of the effectiveness of traf- fic management, safer air transportation, the reduction of envi- ronmental effects and the more economical operation of both ground and air operational services. The comprehensive telematics integration consists of sev- eral steps and requires significant time expenditure. The results summarized in the article support these processes by the sys- tematization of the available information, thus facilitating the realization of the SWIM project. 2 Short literature review Relatively few scientific publications have been published in the field of the functional modelling of air traffic management systems. Therefor the completion of modelling work was sig- nificantly inhibited and in addition, the use of the earlier works was not feasible. System developers conduct this kind of research activity in order to analyse customer demands and the possible field of interest, but they are not published due to the intense competitive environment. Documents made by system thinking approach serve primarily demonstration and education purposes, non-ac- ademic goals (Bayen and Tomlin, 2005; Boeing NEXTOR Report, 1997; Haraldsdottir et al., 1998; Bayen 2003). These published documents are not regarded as complex and comprehensive materials because the complex modelling of the air traffic management system is missing from it. 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, tech- nical and information managing components of the functional ATM systems have been described jointly. A significant finding of the literature overview in the field of modelling is that the authors define the “functions” and “func- tionality” very differently. Authors and scientists typically refer to them as a specific and usually stand-alone activity, yet the expression “function” covers a greater and a significant infor- mation managing unit. Most researchers fully simplify the system thinking approach to a specific action conducted by the air traffic controller. It is generally used for human factor analysis with the application of a psychological approach. Thus researchers examine only a single human action in connection with the controlling during the modelling, in order to alternate the human components with machine systems (Woltjer and Hollnagel, 2008; Ahmad and Saxena, 2008; Cognitive Aspects of Air Traffic Control, 1997; Loft et al., 2007; Prandini et al., 2011). The different interpretation of the terminology and the rela- tionships results in the fact that researchers mean traffic model- ling under the expression “modelling”. Within traffic modelling, researchers mean traffic flow modelling and its different aspects. The use of the expression “function” and “structure” is mixed in literature. Current research is closer to the expression of “structure” but in international literature the word “struc- ture” and its combination is used for the physical structure of the airspace and the computer network (Menon et al., 2004; Filho and Falcão 2012). Despite the fact that a number of modelling methods are described in literature, its use for the comprehensive modelling of the functional AMT system with system thinking approach has not been conducted yet. The structured analysis and design technique (SADT) (Marca and McGowan, 1988; Ross, 1977; 1985), later standardized into the modelling language IDEF0, is an elaborate and well-defined functional modelling language. The functional resonance accident model (FRAM) describes socio-technical systems by the functions they perform rather than by their structure, and aims to capture the dynamics of such systems by modelling non-linear dependencies and variability with which functions are performed (Hollnagel, 2004). These kinds of modelling methods are used only for the description of specific tasks, while they have significant potential.
- 3. 3Functional Modelling of the Air Traffic Control 3 The model of the information system of air traffic control During the modelling, both the information system1 and the system of information2 were analysed from a structural and operational viewpoint in order to identify the components (services), processes inside them (information managing pro- cedures) and the connected information (managed data) as well as the machine systems required for the performance of these. During the development of the model I took the static (con- struction) and dynamic (operation) structures of the ANSP and the functional air traffic management (ATM) system into con- sideration, moreover the system of air traffic control were also analysed. The machine systems and the process inside them were not analysed in detail because their solutions significantly depend on the actual level of technical development. Nevertheless, the functions of the machine systems were identified in each case. Thus, the conclusions are limited to the system of information of the air traffic management in order to achieve a result valid for a long period. The modelling of the system of information also assumes the (structural and operational) modelling of the functional ATM system, because the data map the components and processes. As a system air transportation consists of the members involved in the aviation processes and the multitude of the information systems of the industry members together. The lat- ter one influences the operation. The system of information of the air traffic management, which is the basis of current article, is located within the information system. The information sys- tems provide the management of the basic processes and, built upon it, serving the industry members. Figure 1 illustrates the elaborated information model of air traffic management and its environment. The system compo- nents are indicated in the figure (services, functions, datasets). Regarding the service-function approach the main arranging principle is the function. The characteristics of organizations may often change, while the functions are mostly permanent (in the field of air traffic management pre-defined functions must be provided). Machine (sub)systems – which contain several functional subsystems – interconnect the components of the informa- tion system and they provide the storage, transmission and 1 Information system: is part of the company (subsystem), which provides procedures for creating, recording, processing and accessing the information. It is related either to the organization or to its specific part and it assists the organization to reach its goal. Information systems are the representations of the organizations, which provide information about the status of the organization for the managing elements located at different levels in the hierarchy. For this purpose the machine system of the organization is used, which may consist of several subsystems. 2 System of information: is a structured system of data, a set of well- structured and well-systematized information considering certain aspects. Part of the information system. procession of the information necessary for the operation. In addition, they are interfaces between the users, the information system and the (main and sub)systems of the industrial mem- bers in order to perform the data transmission. In the field of air traffic management, due to the high level of standardization and controlling, the information managing procedures are well and precisely defined. Thus, the informa- tion managing procedures can be unequivocally assigned to the information managing elements (human components) – in most cases. Accordingly, as far as functionality is concerned, connections between the services and functions can be formed without overlapping. The machine systems may overlap functionally due to com- plexity. From the point of view of functions, the assignment between the information managing elements and procedures, as far as the subsystems are concerned, can be defined unequiv- ocally and without overlapping. Based on the relationships of the components I elaborated the system of information of air traffic management. In order to this, I revealed and analysed the information managed by the air traffic management agencies. Incorporating the managed information into a uniform system, I developed the model of the system of information of air traffic management. 4 Modelling method of the information structure During the elaboration of the model within the ANSP, the structure, components and the procedures of the air traffic man- agement system were mapped and the machine (sub)systems were also identified. An approach with sequence of service, function, dataset has been applied – supplemented with the applied machine (sub)systems. The investigation was gradually broadened both horizontally (model wideness) and vertically (model breakdowns). The broadening directions are discretely separated from each other. Figure 2 summarizes the modelling steps and its logic. The sequence of the steps follow a logi- cal superposition according to the system and process-oriented approach. 4.1 Step 1: Identification of components Main components: • Service (notation: Sn ), • Function (notation: Fn ), • Dataset (notation: ), • Machine (sub)system (notation: Mn )*.3 * The analysis of the machine (sub)system does not form the basis of this article. It is indicated only for better understanding.
- 4. 4 Period. Polytech. Transp. Eng. Zs. Sándor Services (Sn ) Within the air navigation service provider the members of the functional ATM system were grouped based on their scope of duties (main tasks related to the base process of aviation) (Table 1). Regarding the complexity of the functional ATM system, the table contains the higher level classification of the given ser- vices into functional blocks. Descriptions of the services are indicated in the brackets after their name. Functions (Fn ) Based on the duties and the connecting services related to the provision of air traffic control, the main functions have been determined and these functions have been classified into higher level functional blocks (FBn ). The results are indicated in Table 2. The not well-known features are explained after the table. Datasets ( i nD ) The managed data were sorted into groups by the content and the temporal validity in order the conformability and the orderliness. Table 3 illustrates the results with examples. In this way, the data which are similar but map different content can be managed together. During the analysis those data were iden- tified which are directly connected to the operative air traffic control activities. The following datasets were identified: 1. Traffic and route data (flights, aircrafts and movements data) 2. Airspace and sector data (data related to airspace structure and air infrastructure) 3. Information data (data necessary for the safe operation of flights) 4. Equipment data (data related to technical infrastructure) Systemof informationof airtraffic managementAirtransport system Aviation basic process 3 …1 2 users… n4 5 D1 s sd d F1 Information structure Information managing elements Information managing procedures Machine system of air traffic management Functional subsystems t11 t1a D1 s sd d Dn s sd d Datasets (D) Functions (F) / Tasks (t) Services (S) … Fn tnx tny …SnS1 … … … Machine systems of industry members S1 F1 D1 Sn Fn Dn S1 F1 D1 Sn Fn Dn … … 3. 2. 1. Services (Sn) (Table 1.) Functions (Fn) (Table 2.) Datasets (𝐷 𝑛 𝑖 ) (Table 3.) Machine (sub)systems (Mn) (Table 4.)* Assignment of the functions to the services (S-F connections). (Table 5.) Identification of information, assignment of (part) datasets to the services and the functions. (Table 6.) Analysis of the functions Information assignment Identi- ficationof components Fig. 1 Model of the system of information of air traffic management Fig. 2 Steps of the modelling of the information structure
- 5. 5Functional Modelling of the Air Traffic Control Static data are unchanged for a longer period, their temporal invariance is greater than one month. Semi-dynamic data may contain a more frequently changing content, thus their temporal invariance may change between one month and a few hours. The temporal invariance of the dynamic data has a much smaller invariance, it may change even every second. Notation of the data: n indicates the number of the dataset, i indicates the dynamism. Dynamism: • S - static, • SD - semi-dynamic, • D - dynamic (included the real time data too). Machine systems (Mn ) The machine systems - and functional subsystems within them - support the fulfilment of activities related to air traf- fic control. In most cases, each system operates independently without any integration. Table 4 summarizes the main func- tional systems used directly or indirectly for air traffic control. The indicated systems are presented in order to illustrate the operation of the whole and complex services. Therefor devia- tions can be discovered at different ANPSs (some systems can be integrated and contracted based on the real installation and site-specific considerations). Notation Decomposition of the ANSP for different services and their classification into higher level of functional blocks S1 Area Control Centre (ACC) (service which is responsible for the controlling of en-route aircrafts in a particular volume of controlled airspace ) Air Traffic Control services (ATC) Air Traffic Services (ATS) Air Traffic Management (ATM) Air Navigation Service Provider (ANSP) S2 Approach Control Centre (APP) (service which is responsible for the controlling of the departing and arriving aircrafts from / to an airport in the terminal manoeuvring area) S3 Tower Control (TWR) (service which is responsible for the airport movements, departures and arrivals of flights and the safe landings and take-offs) S4 Air Traffic Advisory Service (ADV) (service witch informs the aircraft pilots about the traffic situation in the uncontrolled airspace) Flight Information Centre (FIC)S5 Flight Information Service (FIS) (service which controlls the mandatory information communication in the uncontrolled airspace) S6 Airspace Management Cell (AMC) (service which coordinates the civil and military airspace needs) S7 Flow Management (Unit) (FMP) (service which performs flight control depending on the available airspace and air traffic controllers in order to avoid overloaded air traffic controller work) S8 (Aeronautical) Meteorology service (MET) (service which is responsible for the provision of meteorological data ) S9 AFTN network service (service which ensures the handling of messages transmitted by the AFTN network) CNS-ATM technical services S10 Infrastructure operator technical service for the ATM (CNS) (service which ensures the operation of the communication, navigation and surveillance systems necessary for air traffic control – out of ops room) S11 System operation service (service witch ensure the operation of the systems and equipment necessary for the air traffic control – ops room side) S12 NOTAM office (service which is responsible for the creation and transmission of NOTAM telegrams) Aeronautical Information Services (AIS) S13 Aerodrome Reporting Office (ARO) (service which is responsible for the administration of international departing flights) S14 Publication and static data management service (PUB/SDM) (service which manages the aviation related static data and creates the connecting publications) S15 Flight safety service (Safety) (service which manages the aviation safety issues) other, ATM supporting services S16 System development service (service which takes part in the design and development of the air traffic management and control systems) S17 Administration service (collective term for the supporting areas: law, HR, education, training, etc.) Table 1 Services
- 6. 6 Period. Polytech. Transp. Eng. Zs. Sándor Description of the functions: F1 : Control of aircrafts, flying through the responsible sector; ensuring the horizontal and vertical separation between them necessary for safe fly- ing. F2 : Control of departing aircrafts in the terminal movement area from the airborne until they reach the predefined transfer level handed over to the ACC. Control of arriving aircrafts while they approach the aerodrome. Ensuring the necessary horizontal and vertical separation between the aircrafts for safe flying. F3 : Issuing take-off and landing permissions, preparation of departing flights, requesting and giving the necessary permissions and clearances, coordinating the aerodrome movements, receiving the arriving flights, coordinating the surface movements between the runway and the stand assigned to the aircraft. F4, F8 : Management of flight data which require manual intervention and their transmission through international networks and communication plus data transmission with the ATS unit of the adjacent nations. F5, F9 : Notification of the competent organizations in case of an aircraft needs search and rescue services in the controlled and uncontrolled airspace. Notation Function Function block F1 Control of en-route fights Operative air traffic control of the controlled airspace – insurance of safe transportation of aircrafts within the controlled airspace F2 Control of departing, arriving flights within the terminal manoeuvring area (TMA) F3 Control of aerodrome departing and arriving flights F4 Flight data management - Data processing and transmission F5 Insuring the alerting service F6 Air traffic advisory service Managing of uncontrolled airspace F7 Flight information service F8 Aviation data management - Data processing and transmission F9 Insuring the alerting service F10 Pre-tactical airspace management Airspace managementF11 Tactical airspace management F12 Administration F13 Pre-tactical coordination Air traffic flow management F14 Tactical coordination F15 Cooperation F16 Administration F17 Aviation meteorology observation and forecasting Aviation meteorology services F18 Management of aviation meteorology information necessary for flight services F19 Management of aviation meteorology bulletins (METAR, TAF, SIGMET, VOLMET, etc.) F20 Ensuring the AFTN network services (service supervision, management of messages) F21 Operation of communication and data transmission devices Operation of the extra-ops room installed technical infrastructure necessary for air traffic control Operation of technical infrastructure F22 Operation of navigation devices F23 Operation of surveillance and radar systems F24 Technical supervision and operation of the sys- tems of the air traffic control centre Operation of the inter-ops room and airport related technical infrastructure. F25 Operation of outdoor (aerodrome) installed techni- cal equipment F26 Operation of aeronautical telecommunication networks F27 Management of NOTAM (edition, publishing) Aeronautical information service F28 Processing flight plans Flight reportingF29 Pre-flight information F30 Post-fight incident reporting F31 Static data management F32 AIP edition F33 Incident investigation Supporting the operation of ATM F34 Performance of aviation safety checks, research and analysis F35 Development of the ATM systems (hardware and software) F36 Administration and other supporting activities necessary for air traffic control Table 2 Functions
- 7. 7Functional Modelling of the Air Traffic Control F6 -F7 : Information provision for the aircrafts pilots about the actual traffic and meteorology situations and airspace-structure in the uncontrolled airspace. F10 : Management, coordination of the civil and military airspace usage needs, creation of airspace usage plans. F11 : Management of actual airspace usage requisitions, coordination about the usage with the airspace claimer. F12 : All administration action in connection with airspace usage. F13 : Determination of the expected traffic data and the tactical measures, exchange of environmental data (new capacity data in case of capacity reduction), coordination with the relevant international organizations, load calculation. F14 : Traffic monitoring, reporting and managing of events influencing the capacity, slot coordination. F15 : Communication with industry members who are affected by capacity reduction. F16 : All administration action in connection with air traffic flow manage- ment. F20 : Insuring the continuous services of the national and international AFTN network, continuous monitoring of the telegram forwarding function ensured by the system. F31 : Management of static data related to flights. F32 : Editing Aeronautical Information Publications. F33 : Investigating events and incidents connected to air traffic control. F36 : All activities which ensure the operation of the service and are essential to its operation. Static data - s Semi-dynamic data - sd Dynamic data - d 1.Trafficandroutedata - - schedule data - slot data - expected load and traffic flow data - planned flight route details - details of the expected restrictions - coordination data for planning - actual traffic data (traffic flow data, capacity limitation data) - flight plan data - flown route data - actual position and route data of the aircraft - coordination data for traffic management and slot assignment - aerodrome traffic management data - emergency data 2.Airspaceand sectordata - routes and waypoints data - airspace and sector data - preliminary data capacity - strategic airspace management data - strategic airspace usage plan data - expected sectorial load data - sectorial plans - preliminary airspace usage data (claims and bookings) - Daily airspace usage plan - actual and short-term forecast sector load and sector usage data - corrected, coordinated and actual airspace usage data 3.Information data - aeronautical static data - AIP data - aeronautical telegrams (e.g. NOTAM, SIGMET, etc.) - forecast meteorology data - actual meteorology data and telegrams (SIGMET, VOLMET, TAF, etc.) - aeronautical telegrams (NOTAM) 4.Equipmentdata - general data concerning equipment - maintenance data - status data of equipment - operational data of services Table 3 Datasets
- 8. 8 Period. Polytech. Transp. Eng. Zs. Sándor 4.2 Enhancement of the model resolution All components of the model of the system of information can be divided into lower-level elements. Figure 3 illustrates the enhancement of the resolution of the components. The inverted pyramid represents the decreasing elements as the resolution becomes more detailed. The extension and the numerosity of the elements are in inverse proportion. The expressions in the brackets contain the notation of the elements for all resolution levels at each component. The expressions clearly identify which element belongs to which component. Fig. 3 The vertical enhancement of the model of the system of information by components) Nota- tion Name of the system group Nota- tion Name of the system MI Airspace Management System M1 LARA - Local And sub-Regional Airspace Management Support System (system which provides centralized capacity management and it ensures airspace usage data on a European scale across the borders, interoperable) MII Systems for air traffic flow management M2 IFPS - Integrated Initial Flight Plan Processing System (central flight plan processing system operated by the EUROCONTROL) M3 ETFMS - Enhanced Tactical Flow Management System (flow management system which provides temporal forecast about the expected traffic situations) M4 CASA - Computer Assisted Slot Allocation (slot coordination system) MIII Systems for air traffic services M5 Complex air traffic control system (radar and flight data processing, information display for the operative users, supervision and management function for the technical staff) e.g. MATIAS (Magyar AuTomated and Integrated Air Traffic Control System) by Thales M6 Back – up air traffic control system (backup radar and flight data display system) MIV Communications systems M7 Voice communication system (Speech communication between the air traffic controllers (within and outside the country) and external ATS services) M8 Radio and data communication system (Air-ground connection on 118–137 MHz (VHF) and 225-400 MHz (UHF) frequency and the ground-air datalink - CPDLC) M9 AFTN network - Aeronautical Fixed Telecommunication Network (network witch provide the management and transmission of operative aviation data and aviation related announcements) M10 OLDI connections – on-line data interchange (ensure the exchange of operational flight data with the adjacent ATC units through the aviation announcements) MV Navigation systems M11 Ground based navigation devices (VOR, DME, NDB) M12 Runway status signalling and ILS control system M13 Aerodrome lighting system MVI Surveillance systems M14 A-SMGCS - Advanced Surface Movement Guidance and Control System (monitoring and control system for the ground movement) M15 Terminal and en-route area surveillance radar equipment (surveillance equpiment for the monitor of the airport vicinity and the en-route area – primary, secondary and MODE-S radar systems) MVII Systems for aeronautical information services M16 Automatic terminal information service (ATIS) (Radio system of the automatic terminal information service, which insures actual, routine aviation and airport information for the arriving and departing aircrafts) M17 EAD - European AIS Database (European database which contains all aviation related static data) MVIII Systems for the use of meteorological information M18 Aerodrome meteorology data collection and processing system (ensure data collection and the preparation of the aviation meteorology telegrams) M19 Aerodrome and aviation meteorological forecasting system Table 4 Machine systems R1 R2 R3 R4 RS,1 RS,2 RS,3 RS,4 RF,1 RF,2 RF,3 RF,4 RD,1 RD,2 RD,3 RD,4 RM,1 RM,2 RM,3 RM,4 R1 R2 R3 R4 R1 R2 R3 R4 R1 R2 R3 R4 Service (S) Department (d) Unit (u) Inf.manag. element (e) Function (F) Task (t) Process (p) Action (a) Dataset (D) Partial dataset (pD) Data record (dr) Dataelement (de) Machine system (M) Machine subsystem (sM) Machine unit (mU) Hardware (h)
- 9. 9Functional Modelling of the Air Traffic Control 4.3 Step 2: Analysis of the Functions (S-F connections) After the identification of the components, the services and functions were assigned. Based on the services and within them based on the duties, the functions to be fulfilled by the services were identified. In this way, the functions were assigned to the services. Table 5 illustrates the result. Due to the high stand- ardization of the aviation industry the functions and services are clearly matched with minimal overlap. Overlaps exist only at the level of the functions, tasks and processes are free of overlaps. 4.4 Step 3: Information assignment In view of the fulfilled tasks of the services, the managed information was identified and it appears in the data structural matrix. Table 6 illustrates the structure of the matrix. The row headers of the table show the services and the functions. The cells of the vertical columns contain the managed information related to the fulfilled function by the services sorted into data- sets. The cells of the matrix contain the managed part datasets. The knowledge of the function is not enough for the iden- tification of the managed information because several tasks belong to a specific function. Thus the modelling needs deeper analysis on the level of service-function assignment. The func- tions have been divided into tasks. The tasks belonging to the fulfilment of the functions for each service have been identi- fied. The service-function assignment was the basis of the determination of the managed datasets. 5 The data structural model The data structural model is the structure of the managed information according to the components. The model summa- rizes what kind of datasets are required for the operation of a certain function in a given service. The model is a structured data structure for the identification and classification of the managed information related to air traffic control. The represen- tation of the model is a matrix. The managed information sets are indicated in the cells (Fig. 4). Machine components may be indicated in the matrix connected to the managed informa- tion, in view of the information managing actions fulfilled by the machines. This model describes the structure of the data, so it does not contain the stages and modes of the data procession. Latter is connected to the operations which are influenced by several fac- tors e.g. applied computing algorithm, physical infrastructure, broad and scope of information sharing, etc. Systemof informationof airtraffic management Information structure Information managing elements Information managing procedures D1 s sd d D1 s sd d Dn s sd d Datasets (D) Functions (F) / Tasks (t) … … Data structural matrix (part) F1 t11 t1a … Fn tnx tny … On orgnn … orgny O1 org1a … org11 Services (S) SnS1 … Si static data (s) dynamic data (d) semi-dynamic data (sd) Fig. 4 System of information model of the air traffic management
- 10. 10 Period. Polytech. Transp. Eng. Zs. Sándor Table 5 Assignment of services and functions Table 6 Structure of the data structural matrix
- 11. 11Functional Modelling of the Air Traffic Control 6 Summary – application potential and further outlook International industry members support the integrated man- agement of air traffic data and the joint access. The elaborated model allows the integrated management of information, thus ensuring fast and cost efficient information transmission between the industry members. The integration requires sig- nificant time and consists of several steps. The elaborated sys- tem of information model contributes to the first part of the mentioned integration. The availability of new technical solutions regarding to the capacities in the field of computing and storage allow real time procession and transmission of large amounts of data gener- ated in the aviation industry. The fragmentation of the aviation systems and the dependency exposure to the data holders can mitigated by the realization of the integration. At the same time quick and accurate access to the data can be insured even if a single component falls out of the network. With the spread of cloud-based services and the implemen- tation of new security solutions the remote management of critical data becomes available, thus accessibility is improv- ing. Along with this the spread of new industrial services is expected, for which the necessary integration platform is pro- vided by systems allowing integrated data management and worldwide accessibility produced by the international lead data warehouses – similar to the operation of the airline IT systems. The complex and integrated services support the activities of the future air traffic control across the borders, with global extension, thus simplifying the operation of the services. In the SESAR programme (Single European Sky ATM Research) intelligent solutions are going to be applied in the field of air transportation. These new initiatives are based on the full utilization of common and standardized data exchange between various systems in order to ensure a higher level of safety and fluidity of air transport worldwide. Some solutions and applications are available even now, which are driven by the continuous data exchange between remote stations (virtual towers, remotely controlled airspaces, etc.). Interoperability is the key for these kind of operations (Schváb and Markovits- Somogyi, 2015). In the future joint and synchronized development with com- mon aims are necessary in order to explore the latent needs and the full exploitation of the available capacity. The higher level of data management contributes to the cost effective develop- ment of the air transport management sector. In the near future the most difficult task is the design and later the implementation of the optimal comprehensive data manage- ment operations, which need to be solved in order to provide integrated and common services between the industry partners. 7 Conclusions The main contributions: • The organizational structure, the information management processes and the managed information of air traffic control have been revealed and identified with the use of system thinking approach. • The systematic information management structure has been created for the comprehensive management of aviation and air traffic management related information. • The elaborated model allows the integrated management of all information at each step of a flight. • No similar approach has been presented previously in the field of the research. The key findings: • Previous scientific publications dealt with modelling, but the functional models applied to only a few actions con- nected to human factor analysis. No comprehensive func- tional analysis of the whole air traffic management system was mentioned. • The common terminology for “functions”, “modelling” and “structure” is missing in the publications, thus all research- ers define them individually and differently and in most cases the exact definitions are also missing. • The available modelling techniques elaborated for the com- prehensive analysis of large-scale systems (e.g. FARM and IDEF0) can be used in aviation, in the field of the modelling of air traffic management systems, but their use have not been applied yet. • The aviation industry requires integrated data and informa- tion management, but the comprehensive data management solutions are missing due to the intense fragmentation of the applied information systems and the industry. The lessons learnt: • System developers and system warehouses have a huge amount of information of the industrial needs in the field of air traffic control but they use them for their own purposes and do not publish them, while researchers need this kind of information for scientific reasons. • Integration and interoperability are key questions even in aviation, where standardization has the highest level in transportation. • The spread of new technologies like high speed, broadband, interoperable, available, standardized communication tech- nologies with the use of shared and cloud based systems will pull the industry and they will be the solutions and the basis of the services in the future.
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