System and method for providing airport financial reports

• US 20070120729A1
• Filed: 10/31/2006
• Published: 05/31/2007
• Est. Priority Date: 10/31/2005
• Status: Active Grant

• Current Assignee: PASSUR Aerospace, Inc.
• Original Assignee: PASSUR Aerospace, Inc.
• Inventors: Dunsky, Ron, Marcella, Matthew, Barry, James
• Granted Patent: US 7,859,433 B2
• Time in Patent Office: Days
• US Class Current: 342/33
• CPC Class Codes: G01S 13/781 Secondary Surveillance Radar [SSR] in general
• CPC Class Codes: G01S 7/021 Auxiliary means for detecting or identifying radar signals or the like, e.g. radar jamming signals
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/04 Billing or invoicing

Abstract

A system and method for receiving a first set of data for a plurality of aircraft landings at an airport, receiving a second set of data corresponding to the plurality of aircraft landings at the airport, the second set of data being received from a passive radar data source and comparing the first set of data to the second set of data to generate rules for analyzing additional data received from the passive radar data source. Also, a system and method for receiving passive data for an aircraft, receiving actual data for the aircraft, comparing the passive data to the actual data based on a set of rules and assigning a confidence level to the passive data based on the comparison.

Claims

1. A method, comprising:

receiving a first set of data for a plurality of aircraft landings at an airport;

receiving a second set of data corresponding to the plurality of aircraft landings at the airport, the second set of data being received from a passive radar data source; and

comparing the first set of data to the second set of data to generate rules for analyzing additional data received from the passive radar data source.

2. The method of claim 1, further comprising:

storing the rules.

3. The method of claim 1, wherein the rules include a probability level that the additional data corresponds to an actual landing of an aircraft.

4. The method of claim 1, wherein each of the first and second sets of data include one of a time value, a flight number, a tail number, an airline, a runway, an altitude, an x-position and a y-position.

5. The method of claim 1, further comprising:

receiving a third data set corresponding to an operating condition of the airport, wherein the rules are applicable to the operating condition identified by the third data set.

6. The method of claim 5, wherein the operating condition includes one of a time of day, a day of the week, a weather condition, an air traffic condition and an abnormal operating condition.

7. A method, comprising:

receiving passive data corresponding to an aircraft in a vicinity of an airport;

comparing the passive data to a set of rules corresponding to characteristics of landing aircraft at the airport; and

determining whether the passive data corresponds to a landing of the aircraft at the airport.

8. The method of claim 7, wherein the determining includes placing a probability on the likelihood that the passive data corresponds to the landing.

9. The method of claim 8, wherein the probability is categorized as one of a Definitely Landed category, a Probably Landed category and a May have Landed category.

10. The method of claim 7, further comprising:

reporting the results of the determining to a user.

11. The method of claim 10, wherein the results are reported in a format including one of a graphical format, an XML file, a text file, an HTML file and a spreadsheet file.

12. The method of claim 7, further comprising:

generating a bill for a landing fee based on the determining if the passive data corresponds to the landing.

13. The method of claim 7, wherein the receiving of the passive data is for a plurality of aircraft in the vicinity of the airport and the comparing and determining is performed for each of the passive data corresponding to the plurality of aircraft.

14. A system, comprising:

a data receiving arrangement to receive passive data corresponding to an aircraft in a vicinity of an airport;

a rules database storing a set of rules corresponding to characteristics of landing aircraft at the airport; and

a data analyzing arrangement to compare the passive data to a the rules to determine whether the passive data corresponds to a landing of the aircraft at the airport.

15. The system of claim 14, wherein the data analyzing arrangement places a probability on the likelihood that the passive data corresponds to the landing.

16. The system of claim 14, further comprising:

a presentation arrangement for preparing results in a user readable form generated by the data analyzing arrangement.

17. The system of claim 14, wherein the data receiving arrangements receives the passive data for a plurality of aircraft in the vicinity of the airport and the data analyzing arrangement compares the passive data for each of the plurality of aircraft to determine if each of the passive data corresponds to a landing of each of the plurality of aircraft.

18. The system of claim 14, further comprising:

a distribution arrangement to distribute the results of the determination made by the data analyzing arrangement.

19. The system of claim 18, wherein the distribution arrangement includes one of a web server and an FTP server.

20. The system of claim 14, further comprising:

a rules generator receiving a first set of data for a plurality of aircraft landings at the airport and a second set of data corresponding to the plurality of aircraft landings at the airport, the second set of data being received from a passive radar data source that generates the passive data, the rules generator comparing the first set of data to the second set of data to generate the rules corresponding to the characteristics of landing aircraft at the airport.

21. A method, comprising:

receiving passive data for an aircraft;

receiving actual data for the aircraft;

comparing the passive data to the actual data based on a set of rules; and

assigning a confidence level to the passive data based on the comparison.