Description:TECHNICAL FIELD
[0001] The present disclosure pertains to the field of billing for Air Navigation Services (ANS). More specifically, it relates to a system and method for billing of ANS charges by introducing polygon shape files of flight information regions in a Central Repository System (CRS) which houses airspace data from flight plans and radar tracks.
[0002] By integrating polygon shape files into CRS systems and utilizing specialized algorithms, the accurate measurement of billable distances within a nation's airspace is achieved. This precise calculation of billable distances generates immediate incremental revenue for the air navigation service provider, improving upon the current baseline scenario.

BACKGROUND
[0003] Background description includes information that may be useful in understanding the present disclosure. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed disclosure, or that any publication specifically or implicitly referenced is prior art.
[0004] Accurate billing for Air Navigation Services (ANS) is crucial for ensuring that service providers receive fair compensation for the services they offer to air carriers. Traditional methods of billing often rely on standard flight plans and basic radar tracking data, which may not capture the full extent of the services provided, particularly in relation to the use of a country’s airspace. This can lead to discrepancies in billing and potential revenue loss for ANS providers.
[0005] The complexity of modern airspace, with its numerous waypoints, flight information regions (FIRs), and dynamically changing flight paths, necessitates a more sophisticated approach to data collection and billing. Traditional billing methods may not account for the full distance travelled within a country's airspace, particularly in areas where flights enter or exit near the boundaries of FIRs. This can result in underbilling for the services provided.
[0006] The current billing system used by Air Navigation Service (ANS) providers to bill air carriers has a significant shortcoming: it lacks the capability to accurately identify the billable distance. Specifically, it struggles to precisely calculate the exact points of entry and exit from the airspace of the country providing the ANS services. This deficiency leads to notable revenue leakages for the country, estimated to range from 2% to 5% of the amounts that are currently billed.
[0007] Traditional ANS billing systems primarily rely on basic flight plan information and radar tracks to determine the distance flown within the country's airspace. However, these systems often fail to account for the actual entry and exit points accurately, especially when flights cross the boundaries of Flight Information Regions (FIRs). This imprecision means that the full extent of the airspace used by flights is not always captured in the billing calculations.
[0008] As a result, ANS providers do not fully recover the costs associated with the services they provide, leading to underbilling. This underbilling is not just a minor discrepancy; it represents a significant portion of potential revenue, amounting to millions of dollars annually. The gap, ranging from 2% to 5% of the total amounts billed, highlights the financial impact of these inaccuracies on the ANS providers.
[0009] Addressing this issue requires a more advanced system that can accurately determine the precise entry and exit points within the airspace. By doing so, the system can ensure that the full billable distance within the country’s airspace is billed correctly, eliminating revenue leakages and ensuring that ANS providers receive fair compensation for the services rendered. The present invention aims to provide such a solution by housing polygon shape files of the FIRs in a Central Repository System (CRS) and an innovative algorithm designed to accurately determine the billable distance on the air carrier.

OBJECTS OF THE PRESENT DISCLOSURE
[0010] Some of the objects of the present disclosure, which at least one embodiment herein satisfies are as listed herein below.
[0011] An object of the present disclosure is to leverage all operational data in the airspace of the country providing Air Navigation Services (ANS) by integrating this data into a Central Repository System (CRS).
[0012] Another object of the present disclosure is the introduction of FIR polygon shapefiles in the CRS absolutely essential in the accurate assessment of use of air space of a nation by the air carriers.
[0013] Another object of the present disclosure is to ensure the accuracy and reliability of the collected airspace data through a process of verification and validation.
[0014] Another object of the present disclosure is to deploy a unique algorithm that extends the flight path behind and beyond the waypoints to the edges of the flight information region (FIR) polygons, representing the airspace boundaries of the country.
[0015] Another object of the present disclosure is to achieve accurate calculation of the billable distance for ANS, thereby eliminating discrepancies in billing.
[0016] Another object of the present disclosure is to provide instant incremental gains for the ANS provider by accurately determining the billable distance, as the billed amount is directly proportional to this distance.
[0017] Another object of the present disclosure is to enhance the financial efficiency and revenue recovery of the country providing ANS by ensuring fair, transparent and precise billing for the services rendered to air carriers leading to lowering administrative costs and needless disputes between the air navigation service provider and the air carrier.

SUMMARY
[0018] Various aspects of present disclosure pertain to the field of billing for Air Navigation Services (ANS). More specifically, it pertains to a system and method for accurate billing of ANS by utilizing a Central Repository System (CRS) that collects and processes airspace data from flight plans and radar tracks.
[0019] An aspect of the present disclosure pertains to a system for accurate billing of an Air Navigation Services (ANS) may be configured to include a Central Repository System (CRS) that contains shape files representing one or more polygons of a flight information regions (FIRs) of a country providing the ANS services; a server configured to act on the CRS that billing for the ANS services provided to air carriers brings instant incremental benefits to the ANS service providers; and one or more processors coupled with the server, where a memory stores instructions which when executed by the one or more processors cause the system to: collect an airspace data for the country from the flight plans and radar tracks; store the collected data in the CRS that contains shape files representing the polygons of the flight information regions (FIRs) of the country; verify and validate the operational data pertain to the airspace of the country providing the ANS services; deploy the verified and validated data to a calculation unit; and run a technique in the calculation unit to measure accurate waypoints and extend the flight path behind and beyond the waypoints to the edges of the FIR polygons, and represent the airspace boundaries of the country.
[0020] In an aspect, the system may be configured to include a data collection unit configured to record airspace data for the country from flight plans and radar tracks.
[0021] In an aspect, a database containing shape files representing polygons of the FIRs of the country, where the database includes waypoints within the airspace of the country, positioned away from the edges of the polygons representing the airspace boundaries.
[0022] In an aspect, the system further includes an operational data pertaining to the airspace of the country providing the ANS services is inputted into the CRS, which, after verification and validation, is deployed to a calculation unit.
[0023] In an aspect, the calculation unit includes a technique configured to measure accurate waypoints; and extend the flight path behind and beyond the waypoints to the edges of the FIR polygons, representing the airspace boundaries of the country.
[0024] In an aspect, the system further including an innovative technique configured to identify gaps behind and beyond the airspace boundaries; calculate the gap distance as a straight line distance; and add the gap distance to the existing billable distance for the ANS.
[0025] Another aspect of the present disclosure pertains to a method for accurate billing of Air Navigation Services (ANS), including the steps of: collecting, by one or more processors, airspace data for a country from flight plans and radar tracks; storing, by the one or more processors, the collected data in a Central Repository System (CRS) that contains shape files representing the polygons of the flight information regions (FIRs) of the country; verifying and validating, by the one or more processors, the operational data pertaining to the airspace of the country providing the ANS services.
[0026] In an aspect, the method may be further includes deploying, by the one or more processors, the verified and validated data to a calculation unit; and running, by one or more processors, a technique in the calculation unit to measure accurate waypoints and extend the flight path behind and beyond the waypoints to the edges of the FIR polygons, representing the airspace boundaries of the country.
[0027] Various objects, features, aspects, and advantages of the inventive subject matter will become more apparent from the following detailed description of preferred embodiments, along with the accompanying drawing figures in which numerals represent like components.

BRIEF DESCRIPTION OF DRAWINGS
[0028] The accompanying drawings are included to provide a further understanding of the present disclosure, and are incorporated in, and constitute a part of this specification. The drawings illustrate exemplary embodiments of the present disclosure, and together with the description, serve to explain the principles of the present disclosure.
[0029] FIG. 1 illustrates an exemplary architecture of facilitating accurate billing of an Air Navigation Services (ANS), in accordance with an embodiment of the present disclosure.
[0030] FIG. 2 illustrates exemplary architecture of module diagram of facilitating accurate billing of an Air Navigation Services (ANS), in accordance with an embodiment of the present disclosure.
[0031] FIG. 3 illustrates an exemplary view of a flow diagram of proposed method for accurate billing of an Air Navigation Services (ANS), in accordance with some embodiments of the present disclosure.
[0032] FIG. 4 illustrates an exemplary graph depicts the significant incremental financial benefits derived by the ANSP, in accordance with some embodiments of the present disclosure.

DETAILED DESCRIPTION
[0033] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to clearly communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present disclosure as defined by the appended claims.
[0034] Various embodiments of present disclosure pertain to the field of billing for Air Navigation Services (ANS). More specifically, it relates to a system and method for accurate billing of ANS by utilizing a Central Repository System (CRS) that collects and processes airspace data from flight plans and radar tracks.
[0035] An embodiment of the present disclosure pertains to a system for accurate billing of an Air Navigation Services (ANS) may be configured to include a Central Repository System (CRS) that contains shape files representing one or more polygons of a flight information regions (FIRs) of a country providing the ANS services; a server configured to act on the CRS that billing for the ANS services provided to air carriers brings instant incremental benefits to the ANS service providers; and one or more processors coupled with the server, where a memory stores instructions which when executed by the one or more processors cause the system to: collect an airspace data for the country from the flight plans and radar tracks; store the collected data in the CRS that contains shape files representing the polygons of the flight information regions (FIRs) of the country; verify and validate the operational data pertain to the airspace of the country providing the ANS services; deploy the verified and validated data to a calculation unit; and run a technique in the calculation unit to measure accurate waypoints and extend the flight path behind and beyond the waypoints to the edges of the FIR polygons, and represent the airspace boundaries of the country.
[0036] Another embodiment of the present disclosure pertains to a method for accurate billing of Air Navigation Services (ANS), including the steps of: collecting, by one or more processors, airspace data for a country from flight plans and radar tracks; storing, by the one or more processors, the collected data in a Central Repository System (CRS) that contains shape files representing the polygons of the flight information regions (FIRs) of the country; verifying and validating, by the one or more processors, the operational data pertaining to the airspace of the country providing the ANS services.
[0037] In an embodiment, the method may be further includes deploying, by the one or more processors, the verified and validated data to a calculation unit; and running, by one or more processors, a technique in the calculation unit to measure accurate waypoints and extend the flight path behind and beyond the waypoints to the edges of the FIR polygons, representing the airspace boundaries of the country.
[0038] The manner in which the proposed system works is described in further details in conjunction with FIGs. 1 to 4. It may be noted that these figures are only illustrative, and should not be construed to limit the scope of the subject matter in any manner.
[0039] FIG. 1 illustrates an exemplary architecture of facilitating accurate billing of an Air Navigation Services (ANS), in accordance with an embodiment of the present disclosure.
[0040] In an embodiment, referring to FIG. 1, a system 100 for Air Navigation Services (ANS) services provided to air carriers brings instant incremental benefits to the ANS service providers. The system 100 may be configured to include algorithms and processes operating on a central repository, ensures that the billing for ANS provided to air carriers is highly accurate and results in immediate incremental benefits for ANS service providers. By leveraging a central repository system (CRS) 108.
[0041] In an exemplary embodiment, all operational data related to a country’s airspace any or a combination of flight plans and radar tracks is meticulously collected and verified for accuracy. The verified data is then processed by a unique algorithm designed to extend flight paths beyond the recorded waypoints to the precise edges of a flight information region (FIR) polygons, representing the country’s airspace boundaries. This detailed mapping allows for an exact calculation of the billable distance, encompassing the entire airspace utilized by air carriers.
[0042] However, the present disclosure can eliminate currently existing discrepancies by ensuring that every segment of the airspace used is accounted for in the billing process. As a result, the ANS providers experience significant incremental benefits through increased billing accuracy and revenue recovery, reflecting a true representation of the services rendered.
[0043] In an exemplary embodiment, a system 100 may be configured to include a server 102 where the server 102 may be configured to include one or more processor 104 (interchangeably referred to as a processor 104, hereinafter) and a memory 106 storing a set of instructions, which upon being executed cause the processor 104. The processor 104 includes any or a combination of suitable logic, circuitry, and/or interfaces that are operable to execute one or more instructions stored in the memory 106 to perform pre-determined operations. The memory 106 may be operable to store the one or more instructions. The processor 104 may be implemented using one or more processor technologies known in the art. Examples of the processor 104 include but are not limited to, an x86 processor, a RISC processor, an ASIC processor, a CISC processor, or any other processor.
[0044] Furthermore, the server 102 may be including hardware components and associated software instructions configured to execute a convolution neural network with a MobileNet backbone architecture specifically trained for regression tasks. The server 102 may be adapted to process input data through the convolution neural network to generate regression-based predictions. The MobileNet backbone architecture refers to a specific type of neural network structure optimized for efficiency and performance in mobile and embedded devices. The training of the convolution neural network involves optimizing its parameters and weights to accurately predict continuous output values, such as those related to aircraft position or trajectory during landing procedures.
[0045] In an exemplary embodiment, a server 102 may be configured to interact with the CRS 108 to enhance the billing process for the ANS provided to air carriers, thereby delivering immediate incremental benefits to the ANS service providers. The server 102 may responsible for executing advanced algorithms and processes that utilize the comprehensive operational data stored in the CRS 108. By accurately calculating the exact usage of the airspace, including precise entry and exit points, the server 102 can ensure that the billable distance reflects the true extent of the services provided. The results in more accurate and comprehensive billing, capturing all segments of the airspace utilized by the air carriers. Consequently, the ANS service providers can benefit from increased revenue and reduced billing discrepancies, as the server’s precise calculations eliminate underbilling and maximize the financial returns for the services rendered.
[0046] In an embodiment, the system 100 may be configured to include a processor 104, either singular or multiple, interconnected with a memory 106 component. The memory 106 can serve as a storage repository for sets of instructions that dictate the system’s 100 operations and behaviors. When these instructions are activated and processed by the processors 104, they initiate specific actions within the system 100, guiding its functionality and behavior. This arrangement facilitates the system’s 100 ability to perform tasks and execute processes according to the programmed instructions stored in memory 106.
[0047] FIG. 2 illustrates exemplary architecture of module diagram of facilitating accurate billing of an Air Navigation Services (ANS), in accordance with an embodiment of the present disclosure.
[0048] In an exemplary embodiment, referring to FIG. 2, a system 100 may comprise one or more processor(s) 104 (interchangeably referred to as a processor 104, hereinafter). The processor 104 may be implemented as one or more microprocessors, microcomputers, microcontrollers, edge or fog microcontrollers, digital signal processors, central processing units, logic circuitries, and/or any devices that process data based on operational instructions. Among other capabilities, the processor 104 may be configured to fetch and execute computer-readable instructions stored in a memory 106 of the system 100. The memory 106 may be configured to store one or more computer-readable instructions or routines in a non-transitory computer readable storage medium, which may be fetched and executed to create or share data packets over a network service. The memory 106 may comprise any non-transitory storage device including, for example, volatile memory such as Random Access Memory (RAM), or non-volatile memory such as Erasable Programmable Read-Only Memory (EPROM), flash memory, and the like.
[0049] The system 100 may include an interface(s) 208. The interface(s) 208 may comprise a variety of interfaces, for example, interfaces for data input and output devices, referred to as I/O devices, storage devices, and the like. The interface(s) 208 may facilitate communication to/from the system 100. The interface(s) 208 may also provide a communication pathway for one or more components of the system 100. Examples of such components include but are not limited to, processing unit/engine(s) 210 and a database 202.
[0050] In an embodiment, the processing unit/engine(s) 210 may be implemented as a combination of hardware and programming (for example, programmable instructions) to implement one or more functionalities of the processing engine(s) 210. In examples described herein, such combinations of hardware and programming may be implemented in several different ways. For example, the programming for the processing engine(s) 210 may be processor-executable instructions stored on a non-transitory machine-readable storage medium and the hardware for the processing engine(s) 210 may comprise a processing resource (for example, one or more processors), to execute such instructions.
[0051] In the present examples, the machine-readable storage medium may store instructions that, when executed by the processing resource, implement the processing engine(s) 210. In such examples, the system 100 may include the machine-readable storage medium storing the instructions and the processing resource to execute the instructions, or the machine-readable storage medium may be separate but accessible to the system 100 and the processing resource. In other examples, the processing engine(s) 210 may be implemented by electronic circuitry.
[0052] In an embodiment, the database 202 may include data that may be either stored or generated as a result of functionalities implemented by any of the components of the processor 102 or the processing engine 210. In an embodiment, the database 202 may be separate from the system 100.
[0053] In an exemplary embodiment, the processing engine 210 may include one or more engines selected from any of a data collection engine 212, a calculation engine 214, a central repository engine 216, and other engine 218.
[0054] In an embodiment, the data collection engine 212 is designed to meticulously record airspace data for a country by gathering information from flight plans and radar tracks. The engine 212 can serve as a crucial component in the overall system for managing Air Navigation Services (ANS). By interfacing with flight planning systems and radar tracking equipment, the data collection engine captures comprehensive details about each flight, including its route, waypoints, and the exact times and locations of entry and exit from the country’s airspace.
[0055] Furthermore, the collected data forms a detailed and accurate representation of the airspace usage, which is essential for subsequent billing and analysis processes. The precision and reliability of the data collection engine 212 may ensure that all relevant information is accurately logged, providing a solid foundation for calculating the billable distance and other critical metrics used by ANS service providers. As a result, the engine 212 plays a vital role in enhancing the accuracy of ANS billing, leading to fair compensation for the services provided.
[0056] In an embodiment, the calculation engine 214 may be configured features an advanced algorithm specifically designed to enhance the accuracy of air navigation billing. The algorithm can perform several critical functions. First, it accurately measures waypoints, which are specific geographical locations that flights pass through within the airspace. These waypoints are essential for defining the precise flight path taken by an aircraft.
[0057] Furthermore, the algorithm extends the flight path beyond these measured waypoints, tracing the route all the way to the edges of the Flight Information Region (FIR) polygons. These FIR polygons represent the official boundaries of the country’s airspace. By extending the flight path in this manner, the algorithm ensures that every segment of the airspace used by the flight is accounted for, including areas that might otherwise be overlooked if only waypoints were considered.
[0058] The comprehensive approach allows for the precise calculation of the total distance travelled within the country’s airspace, including any gaps between the waypoints and the FIR boundaries. The extended calculation is crucial for determining the billable distance, as it ensures that the Air Navigation Service (ANS) providers can charge for the full extent of the services provided. Consequently, this leads to more accurate billing and helps in maximizing the revenue for ANS providers, reflecting a true representation of the air navigation services rendered to air carriers.
[0059] In an embodiment, the central repository engine 216 is an integral component designed to store and manage detailed geographical information essential for accurate air navigation services (ANS) billing. Within the system 100, shape files represent the polygons of the Flight Information Regions (FIRs) of the country providing the ANS services. These shape files are digital representations of the FIR boundaries, delineating the precise edges of the airspace that the country controls and monitors.
[0060] By containing these shape files, the central repository engine 216 may provide a comprehensive and accurate map of the country’s airspace. This detailed mapping is crucial for various calculations and analyses required for ANS billing. When integrated with other operational data, such as flight plans and radar tracks, the CRS enables the system to precisely determine where a flight enters and exits the airspace, as well as the complete path it takes within the FIR boundaries.
[0061] Furthermore, the accurate representation of the FIR polygons ensures that all parts of the airspace used by air carriers are accounted for in the billing process. It allows for extending flight paths to the very edges of the FIRs, ensuring no segment of airspace usage goes unbilled. As a result, the CRS supports the generation of precise and comprehensive billing information, leading to fair and complete compensation for the ANS services provided.
[0062] In an exemplary embodiment, the other engine 218 may be refer to a component or module that performs a specific function or task within that system, but is not explicitly mentioned or detailed in the preceding description. It could refer to any additional computational or processing unit that contributes to the overall functionality or performance of the system.
[0063] Further, the other engine 218 can indicate the existence of supplementary components beyond those explicitly described, which could include modules responsible for tasks any or a combination of data preprocessing, feature extraction, error handling, or post-processing of outputs. These additional engines may play vital roles in supporting the main functionalities described in the system, enhancing its capabilities or addressing specific technical requirements.
[0064] FIG. 3 illustrates an exemplary view of a flow diagram of proposed method for accurate billing of an Air Navigation Services (ANS), in accordance with some embodiments of the present disclosure.
[0065] As illustrated, a method 300 for ensuring that the billing for Air Navigation Services (ANS) services provided to air carriers brings instant incremental benefits to the ANS service providers. At step 302, the method 300 may involve collecting an airspace data for a country from flight plans and radar tracks. This involves obtaining detailed information regarding the intended routes of aircraft, as specified in flight plans filed by airlines or pilots, that include waypoints, altitudes, estimated times of departure and arrival, and aircraft types.
[0066] Additionally, the method 300 incorporates the acquisition of real-time positional data from radar tracks, which provide precise information on the actual movement, speed, altitude, and heading of aircraft within the airspace. The integration of data from these two sources ensures a comprehensive and accurate representation of airspace usage, facilitating subsequent verification, analysis, and billing processes within a Central Repository System (CRS) 108.
[0067] Continuing further, at step 304, the method may involve storing the collected airspace data in the CRS 108. The CRS 108 is configured to maintain and manage the collected data, including shape files that represent the polygons delineating the boundaries of the Flight Information Regions (FIRs) of the country. These shape files provide a precise digital representation of the FIR boundaries, which are essential for accurate airspace management and billing. By integrating the collected data from flight plans and radar tracks with the FIR polygon shape files, the CRS ensures that all relevant information is centrally located and readily accessible. This facilitates accurate calculations and analyses required for determining billable distances and supports efficient and precise billing processes for the Air Navigation Services (ANS) provided.
[0068] Continuing further, at step 306, the method 300 may verify and validating the operational data pertaining to the airspace of the country providing the Air Navigation Services (ANS). This step involves a rigorous process to ensure the accuracy and reliability of the collected data from flight plans and radar tracks. Verification entails cross-referencing the data with predefined standards and expected values to confirm its correctness. Validation involves ensuring that the data accurately represents real-world conditions and operational parameters within the airspace.
[0069] Moreover, the step is critical for maintaining the integrity of the data stored in the CRS 108 and ensures that subsequent calculations and analyses for billing purposes are based on precise and dependable information. By thoroughly verifying and validating the operational data, the system enhances the accuracy of ANS billing and supports fair and equitable compensation for the services provided.
[0070] Continuing further, at step 308, the method 300 may include deploying the verified and validated data to a calculation unit. This involves transferring the operational data, which has undergone rigorous verification and validation processes, from the CRS 108 to the calculation unit. The calculation unit is equipped with advanced algorithms designed to process this data for the precise determination of billable distances. By utilizing verified and validated data, the calculation unit ensures that the computations reflect accurate and reliable information regarding the usage of the airspace.
[0071] Furthermore, the deployment is crucial for the accurate extension of flight paths to the edges of FIR polygons, thereby enabling precise billing for the ANS. The deployment process ensures that only high-quality; dependable data is used in the calculation unit, thereby enhancing the accuracy and fairness of the ANS billing system.
[0072] Continuing further, at step 310, the method 300 may include a technique in the calculation unit to measure accurate waypoints and extend the flight path behind and beyond the waypoints to the edges of the FIR polygons, which represent the airspace boundaries of the country. This technique involves utilizing advanced algorithms that precisely determine the geographical coordinates of the waypoints based on the collected and validated airspace data. The processors then execute a process to extend the flight path from these waypoints to the FIR boundaries, ensuring that the entire extent of the airspace utilized by the aircraft is accounted for.
[0073] Furthermore, the extension includes both the segments before the entry waypoint and beyond the exit waypoint, effectively capturing the complete trajectory within the country's airspace. By running this technique, the system 100 ensures that the billable distance is accurately calculated, reflecting the true usage of the airspace and thereby enabling precise billing for the ANS provided. This process enhances the accuracy and fairness of the billing system, ensuring that the ANS provider receives appropriate compensation for the services rendered.
[0074] FIG. 4 illustrates an exemplary graph depicts the significant incremental financial benefits derived by the ANSP, in accordance with some embodiments of the present disclosure.
[0075] Figure 4 illustrates notable and progressive financial advantages attained by the Air Navigation Service Provider (ANSP). These benefits stem directly from the integration of FIR polygon shape files into the Centralized Routing System (CRS) and the utilization of sophisticated algorithms to precisely calculate the chargeable distance from the hinterland and outermost coordinates of the airspace delineations managed by the ANSP.
[0076] Specifically, the polygon shape files stored in the central repository play a critical role in accurately determining the billable distance for Air Navigation Services (ANS). Unlike traditional methods where the billable distance is calculated based on entry and exit waypoints of flights, the innovative approach leverages the edges of the polygons representing the airspace serviced by the ANS provider. These polygons, delineating the Flight Information Regions (FIRs), define the boundaries of the airspace under the ANS provider's jurisdiction.
[0077] In the process, the billable distance is calculated from and to the edges of these FIR polygons rather than solely relying on waypoints. This means that the extent of the airspace usage is measured from the exact boundaries of the airspace serviced by the ANS provider, ensuring comprehensive coverage. By recognizing the importance of these polygon edges, the system accounts for the entire airspace utilized by flights, including any segments near the FIR boundaries. Consequently, this approach provides a more accurate representation of airspace usage and enables fair and precise billing for the ANS provided, optimizing revenue for the ANS provider.
[0078] In summary, the present disclosure revolutionizes Air Navigation Services (ANS) billing by consolidating all operational airspace data into a central repository. After rigorous verification and validation, a proprietary algorithm is deployed. This algorithm extends flight paths beyond waypoints to the edges of Flight Information Region (FIR) polygons, precisely mapping airspace boundaries. This comprehensive approach ensures accurate calculation of the billable distance, leading to immediate incremental gains for the ANS provider. By billing based on the actual airspace utilized rather than just waypoints, the system maximizes revenue for the provider, reflecting a true representation of services rendered to air carriers.
[0079] While the foregoing describes various embodiments of the disclosure, other and further embodiments of the disclosure may be devised without departing from the basic scope thereof. The scope of the disclosure is determined by the claims that follow. The disclosure is not limited to the described embodiments, versions or examples, which are included to enable those having ordinary skill in the art to make and use the disclosure when combined with information and knowledge available to those having ordinary skill in the art.

ADVANTAGES OF THE PRESENT DISCLOSURE
[0080] The present disclosure provides a system of by leveraging all operational data within the country’s airspace; the innovation ensures that no valuable information is overlooked.
[0081] The present disclosure provides a holistic view of airspace usage, enhancing the accuracy of subsequent calculations and analyses.
[0082] The present disclosure provides a centralized approach facilitates efficient verification, validation, and deployment of the operational data, leading to improved operational efficiency.
[0083] The present disclosure provides a unique algorithm deployed within the central repository extends flight paths beyond waypoints to the edges of FIR polygons.
[0084] The present disclosure provides a capability to operate independently of prior runway knowledge enhances its applicability in scenarios where access to runway information may be limited or unavailable.
[0085] The present disclosure provides a system to calculate the billable distance; the innovation enables ANS providers to maximize revenue generation. Instant incremental gains are realized as the billed amount directly correlates with the billable distance.

, Claims:

1. A system (100) for accurate billing of an Air Navigation Services (ANS), comprising:
a Central Repository System (CRS) (108) that contains shape files representing one or more polygons of flight information regions (FIRs) of a country providing the ANS services;
a server (102) configured to act on the CRS (108) that billing for the ANS services provided to air carriers brings instant incremental benefits to the ANS service providers; and
one or more processors (104) coupled with the server (106), wherein a memory (106) stores instructions which when executed by the one or more processors (104) cause the system (100) to:
collect an airspace data for the country from the flight plans and radar tracks;
store the collected data in the CRS (108) that contains shape files representing the polygons of the flight information regions (FIRs) of the country;
verify and validate the operational data pertain to the airspace of the country providing the ANS services;
deploy the verified and validated data to a calculation unit; and
run a technique in the calculation unit to measure accurate waypoints and extend the flight path behind and beyond the waypoints to the edges of the FIR polygons, and represent the airspace boundaries of the country.
2. The system (100) as claimed in claim 1, further comprises a data collection unit configured to record airspace data for the country from flight plans and radar tracks.
3. The system (100) as claimed in claim 1, further comprises a database containing shape files representing polygons of the FIRs of the country.
4. The system (100) as claimed in claim 3, wherein the database comprises waypoints within the airspace of the country, positioned away from the edges of the polygons representing the airspace boundaries.
5. The system (100) as claimed in claim 1, wherein operational data pertaining to the airspace of the country providing the ANS services is inputted into the CRS (108), which, after verification and validation, is deployed to a calculation unit.
6. The system (100) as claimed in claim 5, wherein the calculation unit comprises a technique configured to:
measure accurate waypoints; and
extend the flight path behind and beyond the waypoints to the edges of the FIR polygons, representing the airspace boundaries of the country.
7. The system (100) as claimed in claim 1, further comprising a technique configured to:
identify gaps behind and beyond the airspace boundaries;
calculate the gap distance as a straight line distance; and
add the gap distance to the existing billable distance for the ANS.
8. A method (300) for accurate billing of Air Navigation Services (ANS), comprising the steps of:
collecting (302), by one or more processors (104), airspace data for a country from flight plans and radar tracks;
storing (304), by the one or more processors (104), the collected data in a Central Repository System (CRS) (108) that contains shape files representing the polygons of the flight information regions (FIRs) of the country;
verifying and validating (306), by the one or more processors (104), the operational data pertaining to the airspace of the country providing the ANS services;
deploying (308), by the one or more processors (104), the verified and validated data to a calculation unit; and
running (310), by the one or more processors (104), a technique in the calculation unit to measure accurate waypoints and extend the flight path behind and beyond the waypoints to the edges of the FIR polygons, representing the airspace boundaries of the country.