Method, system and processor-readable media for estimating airport usage demand
First Claim
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1. A method for estimating airport usage demand utilizing an electronic database to improve the functioning of an airport system, comprising:
- compiling in an electronic database, airport parking traffic usage data and flight-time table data with respect to at least one airport, wherein said airport parking traffic usage data includes a distribution of vehicle parking events associated with said at least one airport and wherein said flight-time table data includes flight data comprising arrival flight information including a total number of arriving flights, flight arrival times, departure flight information including a total number of departing flights, flight departure times, and departure flight maximum capacities including a total number of passengers for each departing flight, said vehicle parking events associated with vehicles including cars and trucks;
analyzing said airport parking traffic usage data and said flight-time table data contained in said electronic database using a time matching approach comprising processing an efficient time matching algorithm comprising a segment matching algorithm with said flight-time table data and said traffic usage data utilizing a processor of a data-processing system that is operably connected to said electronic database, said time matching approach including performing an initial matching between parking users and potential flight passengers in linearithmic average time complexity; and
estimating with a processor of a data-processing system, passenger behavior including passenger flow with respect to said at least one airport based on said airport parking traffic usage data and said flight-time table data, in response to analyzing said airport parking traffic usage data and said flight-time data contained in said electronic database, wherein said estimating includes inferring an amount of passengers that took a flight in response to analyzing said distribution of parking events, and wherein said passenger flow as said at least one airport is modeled as a mixture of components during a given time period, wherein each component among said mixture of components is associated with a departure flight and wherein said each component in said mixture is modeled as a finite interval distribution and in some cases of said mixture as triangular distributions.
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Abstract
Methods and systems for estimating airport usage demand. Airport parking traffic usage data and flight-time table data can be compiled with respect to an airport (or more than one airport). The airport parking traffic usage data and flight-time table data can be analyzed using an efficient time matching approach (e.g., a time segment matching algorithm). An efficient method to match passengers and flights is introduced. Passenger behavior can be estimated with respect to the airport based on the airport parking traffic usage data and flight-time table data.
51 Citations
11 Claims
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1. A method for estimating airport usage demand utilizing an electronic database to improve the functioning of an airport system, comprising:
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compiling in an electronic database, airport parking traffic usage data and flight-time table data with respect to at least one airport, wherein said airport parking traffic usage data includes a distribution of vehicle parking events associated with said at least one airport and wherein said flight-time table data includes flight data comprising arrival flight information including a total number of arriving flights, flight arrival times, departure flight information including a total number of departing flights, flight departure times, and departure flight maximum capacities including a total number of passengers for each departing flight, said vehicle parking events associated with vehicles including cars and trucks; analyzing said airport parking traffic usage data and said flight-time table data contained in said electronic database using a time matching approach comprising processing an efficient time matching algorithm comprising a segment matching algorithm with said flight-time table data and said traffic usage data utilizing a processor of a data-processing system that is operably connected to said electronic database, said time matching approach including performing an initial matching between parking users and potential flight passengers in linearithmic average time complexity; and estimating with a processor of a data-processing system, passenger behavior including passenger flow with respect to said at least one airport based on said airport parking traffic usage data and said flight-time table data, in response to analyzing said airport parking traffic usage data and said flight-time data contained in said electronic database, wherein said estimating includes inferring an amount of passengers that took a flight in response to analyzing said distribution of parking events, and wherein said passenger flow as said at least one airport is modeled as a mixture of components during a given time period, wherein each component among said mixture of components is associated with a departure flight and wherein said each component in said mixture is modeled as a finite interval distribution and in some cases of said mixture as triangular distributions. - View Dependent Claims (2, 3, 4, 5)
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6. A method of modeling airport usage demand to improve the functioning of an airport system, comprising:
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providing an electronic database of past and future departing and arriving flights from at least one airport and an electronic database of historical parking data with respect to said at least one airport, wherein said historical parking data includes a distribution of parking events associated with said at least one airport and said past and future departing and arriving flights includes information comprising a total number of arriving flight, flight arrival times, departure flight information including a total number of departing flights, flight departure times, and departure flight maximum capacities including a total number of passengers for each departing flight; storing said electronic database in a memory of a computer; and generating a model of airport usage demand including passenger with respect to said at least one airport by processing information contained in said database of past and future departing and arriving flights and in said database of historical parking data and based on a processed match between said historical parking data and said past and future departing and arriving flights using a time matching approach comprising a segment matching algorithm, and wherein said passenger flow as said at least one airport is modeled via said model as a mixture of components during a given time period, wherein each component among said mixture of components is associated with a departure flight and wherein said each component in said mixture is modeled as a finite interval distribution and in some cases of said mixture as triangular distributions and wherein said time matching approach includes performing an initial matching between parking users and potential flight passengers in linearithmic average time complexity. - View Dependent Claims (7, 8, 9, 10, 11)
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Specification