95 results about "Flight schedule" patented technology

The invention discloses a multi-airport collaborative delivery system flight sorting and decision making method. The method includes three processes of 1) preprocessing of a civil aviation flight schedule, 2) building of a multi-airport collaborative delivery decision-making algorithm model, and 3) implementation of a multi-airport collaborative delivery decision-making algorithm. By the method, a unified delivery sequence can be provided to air traffic control units, airports and airlines participating in delivery so as to realize utilization maximization of airspace resources, improve air traffic control operation efficiency and guarantee air traffic safety.

The invention discloses a method for obtaining a basic operation volume of a terminal airspace. According to the method, a sector volume is amended by a human kinetic model and machine studying, and the basic operation volume of the terminal airspace can be accurately obtained. The invention also discloses a predicating method for the air dynamic traffic volume in the terminal airspace, and the traffic flow information and analysis for historical weather and predicating weather for the specific terminal airspace are increased, so the obtained volume predicating information of the terminal airspace is more accurate. The invention also discloses a predicating system for the air dynamic traffic volume in the terminal airspace; the system comprises a data collecting module, a data processing module, a control module and a display module; the system is used for realizing the method for obtaining the basic operation volume of the terminal airspace and realizing the predicating method for the air traffic volume in the terminal airspace. According to the predicating system and method for the air dynamic traffic volume in the terminal airspace, the effectiveness and accuracy for establishing a flight schedule of an airline are improved, and a basis is provided for an air traffic control unit to effectively determine the management and control of the air traffic in a pre-tactics stage according to the dynamic volume distribution.

Provided herein are systems, methods and machine-readable media for interfacing with computer flight systems. For example, one embodiment is described wherein an unknown and/or changing inventory of aircraft, potentially including aircraft owned or operated by third parties, is managed to provide flight schedules, fare structures, and reservation inventories to computer flight systems. Another embodiment is described wherein aircraft inventory is allocated dynamically and/or adjusted in real-time in response to bookings of seats on aircraft flights in the flight schedule. Another embodiment is described wherein aircraft inventory may be changed by suppliers of aircraft, including changes to costs for using a portion of the inventory (e.g., using an aircraft for a day), and a management system may modify booking class inventories on one or more flights in the flight schedule in response.

The invention discloses a method for obtaining 4-dimensional flight path of a scheduled flight. The method comprises: obtaining basic data information of the flight schedule; obtaining the flight path and flight state characteristic information of the scheduled flight; obtaining time of passing the waypoints according to the basic data information and flight state characteristic information of the flight. The method of the invention can rapidly work out the 4-dimensional flight path of the scheduled flight and preset time for reaching the waypoints, thus providing basic information for air traffic prediction and air traffic control.

An architecture and system generating interactive web-based flight schedule displays is disclosed. In accordance with the embodiments of the invention the interactive web-based flight schedule graphically displays flight schedules using modules that include flight bars positioned along a time-line grid to graphically represent a duration time, a departure time and arrival time of a corresponding scheduled flight. The modules also may include functionalized end points on the flight bars that designate a departure location and an arrival location of the corresponding flight and one or more stop boxes where necessary to indicate a stop-over. The interactive web-based flight schedule displays include any number to function links and controls that allow a viewer to obtain detailed flight information and/or organize flights according to a selectable criteria before purchasing a flight.

A method for visualizing airline flight schedules graphically simulates the effect of a program implemented in airline flight operations to reduce the effect of disruptions in scheduled airline flights. One or more disruptions are introduced into a pre-selected airline flight schedule, using frequency distributions of disruptions and disruption severities, resulting in a disrupted flight schedule that reflects both initial and propagated delays. The disrupted flight schedule is used to visually simulate flight operations in 4-D, allowing comparisons of “as is” and “what if” scenarios.

The AirScene™ Pavement Management System of the present invention automatically tracks data required to determine various factors in an assessment of current and future pavement maintenance needs and utilizes this data to quantify the pavement damage caused by each individual aircraft movement and thus compute pavement condition based on an initial survey and the calculations of accrued damage over time. This information can be displayed through AirScene™ in the form of tables, graphs, or graphically represented on an airport diagram showing present conditions, rates of accruing damage, and future wear rates and areas. The system draws on the data from the AirScene™ Data Warehouse (ADW), a single repository for all the information acquired from a number of different sources. These data include: Aircraft or vehicle type (wheel layout, weight, vehicle specific parameters, and the like), Aircraft or vehicle location (ground track, position, gate used, and the like), Aircraft or vehicle dynamics (velocity, acceleration, take off, touchdown, and the like), Aircraft or vehicle actual weight (cargo load, fuel load, and the like), as well as Future operational data (flight schedules, increasing flight loads and demand, and the like).

The invention provides a realization system and a method for airspace running simulation airflow engine. The realization system comprises a flight flow distribution feature analysis module, a flight flow statistics module, a flight flow factor modeling module and a simulation solution flight flow module, wherein, the flight flow distribution feature analysis module is used for determining the factor information of the flight flow, analyzing the distribution feature of each factor and determining the corresponding data probability model; the flight flow statistics module is used for accounting value of each factor in the current flight schedule according to the flight flow factor data probability model provided by the flight flow distribution feature analysis module, and determining the distribution parameters; the flight flow factor modeling module is used for respectively building the probability distribution model of each factor in the current flight schedule according to the data provided by the flight flow statistics module, and comprehensively forming the flight flow modeling model; the simulation solution flight flow module is used for generating the flight flow by simulation according to the requirements like the simulation flow rate input by users on the basis of flight flow factor modeling. The invention can improve the reasonability and validity of the generation of the flight flow data, thus creating conditions to ensure the reliability of the simulation flight assessment result and improve the credibility of the simulation assessment result.

The invention relates to an air traffic control system and an operation method thereof based on virtual pathfinders. First, permitted fairways, courses, taxiways, as well as gate positions for the scheduled flights going in or out of the control area and the air data of the flights on the fairways are inputted into a three-dimensional electronic map; a controller selects corresponding flight courses for the flights on the electronic map according to the flight schedule, forming a prearranged flight plan. The system builds up a virtual pathfinder for each flight on a computer, reckons the travel position of the virtual pathfinder at each second and shows the actual position of the plane through the current control system. The system makes constant comparison and once the actual position of the plane does not accord with the virtual position and the offset goes beyond the value of a set offset alarm, the system gives an alarm. The invention can improve the utilization rate of the courses, reduce waiting time of the plane in the air and greatly reduce the work loads of the controller and the pilot.

A method for managing aircraft ground operations includes receiving an initial gate assignment schedule, an initial operational task schedule, and a current flight schedule. The method also includes determining a first adjusted gate assignment schedule based at least in part on the initial gate assignment schedule and the current flight schedule to reduce costs associated with reassigning aircraft to alternative gates. In addition, the method includes determining a first adjusted operational task schedule based at least in part on the initial operational task schedule and the current flight schedule to reduce costs associated with reassigning ground crew members to alternative tasks. Furthermore, the method includes determining a second adjusted gate assignment schedule and a second adjusted operational task schedule based at least in part on the current flight schedule, the first adjusted gate assignment schedule, and the first adjusted operational task schedule.

The invention discloses an intelligent airport scheduling method based on simulated annealing algorithm. The method comprises the following steps: Entering the flight schedule within the scheduling cycle; Setting constraint conditions and objective function; taking the simulated annealing algorithm to arrange the shifts of the employees who take part in the scheduling. Generate employee schedulingplan, and the employee performs production activities according to the employee scheduling plan. The intelligent airport scheduling method based on simulated annealing algorithm of the invention arranges the first-line airport staff based on flight plan, the simulated annealing algorithm is used to deduce the schedule, Improved traditional reliance on human resources, Estimating the unscientificshift arrangement greatly improves the utilization rate of human resources, and at the same time makes the business process, behavior standardization, decision-making procedures, organization systematization, breaking the previous lack of unified planning of human resources management mode, quantifying the management level, but also makes it easier for managers to grasp the work of front-line airport staff.

The invention proposes a set of intelligent flight time exchange system. The system obtains the real-time readiness information of each flight by implementing tracking and analysis of flight dynamic information, and according to the results of the overall analysis information, it sends out exchange time suggestions to the corresponding traffic operation participants of each flight, or the system directly switches the system at the intelligent flight time In the flight time exchange platform in China, the flight time exchange request is issued, and then the platform collects potentially eligible flights and facilitates the time exchange between the two. The present invention also proposes a method based on the above-mentioned system idea.

The present invention relates to flight schedule constraints for optional flights. The subject matter of this specification can be embodied in, among other things, a method that includes receiving a number N m of optional flights available to fly a flight route. The method also includes receiving a minimum number I m of the optional flights to fly the flight route, receiving a maximum number u m of the optional flights to fly the flight route, and generating one or more constraints for an optimization model that are configured to cause the optimization model to favor the selection of at least I m flights and to favor the selection of at most u m flights from the N m optional flights to fly the flight route. The method includes selecting, using the optimization model, an optimized subset of the N m optional flights, where the selection is based on the one or more constraints.

The invention discloses an automatic seat distributing method adapting to flight schedule abnormity. The method comprises the following steps: S1, acquiring usable seat information; S2, providing a seat set which can be matched with each flight; S3, calculating matching superiority score of each flight and the corresponding seat matched with the flight; and S4, selecting a matchable seat for eachflight, listing all situations of corresponding each flight to the corresponding seat, calculating the sum of the matching superiority scores of all the flights and the seats under the different situations, and taking the situation in which the sum of the matching superiority scores of all the flights and the seats is a maximum value as a final seat distributing scheme. By the automatic seat distributing method adapting to flight schedule abnormity, complicated circumstances that seats are wasted or insufficient due to accidents of delay, advance, canceling and the like of flights can be handled, and meanwhile, the registration time of travelers is saved.

A flight time table-based real-time large-scale aviation hub parking lot scale prediction method comprises the steps of determining research objects including passengers, parking lots and travel modes; generating a passenger arrival and departure time statistical table; determining the proportion of the passenger travel modes under different classification modes, wherein the proportion is determined according to flight types or travel purposes or travel ages; obtaining travel proportion results under three different classification modes, and selecting the optimal passenger classification; respectively determining the average passenger number, the parking ratio and the parking turnover rate of the taxi and the private car; establishing a parking lot queuing system model; parking lot queuingsystem model solving. The real-time large-scale aviation hub parking lot scale prediction method based on the flight time table provides basic research support for large-scale aviation hub transportation organization planning and scheduling, and provides a specific optimization method.

The invention relates to a parallel runway capacity calculating method based on random simulation. The method includes the steps of setting initial parameters for calculating runway capacity, generating rising and landing type vectors of aircrafts, generating aircraft type vectors, allocating one corresponding arriving or departure point for each arriving or departing aircraft according to proportion, allocating one runway for each flight and generating runway vectors, sequentially calculating the interval Si, i+1 of i flight and i+1 flight from the first flight, calculating the taking-off and landing moments of each subsequent flight, calculating the flight number as the capacity value of current random conditions, taking a mean value as a runway capacity value after simulation for N times, and displaying the calculating result. Variable randomness is simulated through the monte-carlo method, and the taking-off and landing moments of each flight is calculated in a recursion way according to discrete event system principles. The capacity value is obtained by calculating the flight number in one hour. Scientific runway planning scheme evaluation is realized, and reasonable arrangement of flight schedule and precise flow management are realized.

The invention is a computer-based system for collecting, archiving, analyzing and distributing travel-related information which is comprised of an application programming interface (API) that provides scores and evaluations on travel amenities, duration and other flight attributes that can be integrated into the search engines and reservations systems of airlines and other travel service providers. The API computes scores (numerical, graphical and text) relating to customer satisfaction with various attributes of travel, including flight schedules and amenities and outputs data in such a way that integrators can display these in flexible ways for their customers to readily understand their options using icons, text or numerical means. Uniquely, the information is available to system integrators across multiple platforms and is available for all segments, legs and itineraries.

Provided herein are systems, methods and machine-readable media for interfacing with computer flight systems. For example, one embodiment is described wherein an unknown and/or changing inventory of aircraft, potentially including aircraft owned or operated by third parties, is managed to provide flight schedules, fare structures, and reservation inventories to computer flight systems. Another embodiment is described wherein aircraft inventory is allocated dynamically and/or adjusted in real-time in response to bookings of seats on aircraft flights in the flight schedule. Another embodiment is described wherein aircraft inventory may be changed by suppliers of aircraft, including changes to costs for using a portion of the inventory (e.g., using an aircraft for a day), and a management system may modify booking class inventories on one or more flights in the flight schedule in response.

The present invention relates to single step flight schedule optimization. The subject matter of this specification can be embodied in, among other things, a method that includes generating a first graph including possible flight segments between airline stations for an airline and determining a set of permissible crew pairings based on a traversal of the first graph. The method also includes generating a second graph comprising the determined set of permissible crew pairings and determining a set of permissible aircraft routings based on a traversal of the second graph. The method includes generating a set of optimized aircraft routings using an integer-programming algorithm that accepts the determined set of permissible aircraft routings as input, and outputting the set of optimized aircraft routings for use in a flight schedule.