Real-time surface traffic adviser
First Claim
1. A real-time surface traffic management, knowledge-based, expert advisor system for optimizing airport operational efficiency by acquiring, fusing, interpreting, mining and displaying real-time predictive and processed data for surface traffic management or training simulations comprising:
- an intelligent server;
a plurality of input sources connected to said intelligent server via communication links; and
, a plurality of destination sources connected to said intelligent server via said communication links, for allowing users to access said real-time predictive and processed data;
said intelligent server comprising;
a) an input management subsystem, comprised of autonomous computer programs, which collects heterogeneous, incompatible data from multiple sources, including user or instructor provided data, manages data sources, initiates actions in response to events, and communicates and negotiates through said expert advisor system, without direct human control, b) an information subsystem which is a receiver of data from said input management subsystem and said user or instructor, a data fuser and integrator of said data, and an information router to the subsystems of said expert advisor system, c) a prediction subsystem, which is an information receiver from said information subsystem, comprising data fusion rules for providing, accuracy assessments, future surface event predictions, and provision of said predictions back to said information subsystem, d) a client interface subsystem which is a provider of displayed data to the destination sources, and e) an autonomous executive subsystem which is a start-up and control system for said intelligent server, an error recovery and message system, and a system health monitor.
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Accused Products
Abstract
A real-time data management system which uses data generated at different rates, by multiple heterogeneous incompatible data sources. In one embodiment, the invention is as an airport surface traffic data management system (traffic adviser) that electronically interconnects air traffic control, airline, and airport operations user communities to facilitate information sharing and improve taxi queuing. The system uses an expert system to fuse data from a variety of airline, airport operations, ramp control, and air traffic control sources, in order to establish, predict, and update reference data values for every aircraft surface operation.
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Citations
8 Claims
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1. A real-time surface traffic management, knowledge-based, expert advisor system for optimizing airport operational efficiency by acquiring, fusing, interpreting, mining and displaying real-time predictive and processed data for surface traffic management or training simulations comprising:
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an intelligent server;
a plurality of input sources connected to said intelligent server via communication links; and
,a plurality of destination sources connected to said intelligent server via said communication links, for allowing users to access said real-time predictive and processed data;
said intelligent server comprising;
a) an input management subsystem, comprised of autonomous computer programs, which collects heterogeneous, incompatible data from multiple sources, including user or instructor provided data, manages data sources, initiates actions in response to events, and communicates and negotiates through said expert advisor system, without direct human control, b) an information subsystem which is a receiver of data from said input management subsystem and said user or instructor, a data fuser and integrator of said data, and an information router to the subsystems of said expert advisor system, c) a prediction subsystem, which is an information receiver from said information subsystem, comprising data fusion rules for providing, accuracy assessments, future surface event predictions, and provision of said predictions back to said information subsystem, d) a client interface subsystem which is a provider of displayed data to the destination sources, and e) an autonomous executive subsystem which is a start-up and control system for said intelligent server, an error recovery and message system, and a system health monitor. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
(a) constructing a model (or a set of models) for explaining the variation of the input data, (b) preprocessing (or transforming) the original data in order to make consistency between input data and the model, and, (c) identification of the model based on observed (input) data.
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8. The input management subsystem of claim 1, wherein historical data generated by said information subsystem or said prediction subsystem is routed back to said input management subsystem.
Specification