Mitre Corporation

About: Mitre Corporation is a company organization based out in Bedford, Massachusetts, United States. It is known for research contribution in the topics: Air traffic control & National Airspace System. The organization has 4884 authors who have published 6053 publications receiving 124808 citations. The organization is also known as: Mitre & MITRE.

Traffic flow management method and system for weather problem resolution

Abstract: Weather problem resolution in air traffic flow management is accomplished by automatically deriving a flow of constrained areas from a weather forecast product, generating a candidate flight list including conflict flights predicted to be affected by the flow constraint areas for each conflict flight from the candidate flight list order, generating reroute corridors available, and selecting the best available reroute corridor. Sector workloads are estimated which are affected by rerouting of the conflict flight onto the selected corridor. The corridor is accepted for the conflict flight if sector workloads are below preset limits, or, if the flight would cause the sector workloads to increase beyond the preset workload limits, a check is made for ground delaying the flight, and if found impossible, rejecting the corridor and examining the next available corridor for rerouting the flight.

Service oriented architecture

Abstract: Service oriented architecture (SOA) is a paradigm for organizing a set of capabilities, often distributed across the network and possibly under the control of different ownership domains. The organized capabilities can be used to provide solutions to business problems. A business problem is broadly defined as any problem, in any domain of interest, encountered by an individual or organization as it goes about its business. SOA is applied to business problems that are amenable to information technology solutions. Services are made visible to potential users, interact with users through a series of information exchanges, and produce real-world effects. Invocation and information exchange rely on standard languages and protocols that facilitate interoperability. From a user's perspective, invoking a service to produce an intended effect is experienced as a single, atomic operation. The detailed sequence of actions carried out by the service may involve any number of operations such as database queries, data transformations, execution of models, and formatting of displays. These operations may themselves be composed of lower level operations. The data and/or software modules required to perform the operations may reside at different physical locations and be controlled by different organizations. The details of composing the sequence of actions that produces the real world effect are transparent to the user interacting with the service. SOA frees users to concentrate on their business problem, leaving the details of the solution to the service. Copyright © 2009 John Wiley & Sons, Inc. For further resources related to this article, please visit the WIREs website.

Braille display device

Abstract: In the Braille display system disclosed herein a plurality of identical cells are arranged in a row and each cell is adapted to display a single Braille character. Each cell employs a plurality of pins which can be selectively raised to projecting positions by pneumatic signals which are common to all of the cells in a given row. Further, each cell includes an electrically actuable interposer member which can be selectively operated to either lock the pins in that cell in their existing positions or to free them and thereby enable them to respond to the common pneumatic signals.

Ranging and processing system for mobile surveillance and data link

Abstract: The satellite system includes at least two satellites having on-board processing capability so that data messages may be exchanged and the position of mobiles may be determined with direct access from multiple ground control facilities. The satellites transmit data and poll individual mobiles upon command by one or more of the control facilities and receive replies from the mobiles including the mobiles' altitude and other data of interest to the control facility. The at least two satellites communicate with one another by means of a cross-link communication path. Computer processing apparatus is included on the satellites to compute the ranges between the mobiles and each of the satellites from the replies received from the mobiles, and to store and process messages. The position information and messages are transmitted to at least one of the control facilities. It is preferred that the control facilities employ TDMA or FDMA protocols in the uplinks to the satellites. The on-board processing makes it readily possible for a number of control facilities to gain access to the satellites directly rather than through a central earth station, and to increase the capacity of a discrete address polling system for a given allocation of radio frequency spectrum. A discrete address polling system is one where each mobile is polled on an individual basis by only responding to polls that contain its identification.

Modeling traffic prediction uncertainty for traffic management decision support

Abstract: TFM personnel are known as Traffic Management Coordinators (TMCs) or Traffic Management Specialists (TMSs), depending on the facility in which they work. The general term for these personnel is traffic managers. One of their primary responsibilities is to ensure that traffic at national airspace system (NAS) resources (e.g., airspace sectors, airports) does not exceed levels that can be safely managed by controllers. Traffic managers also endeavor to ensure fair and equitable treatment for all NAS users, i.e., operators of commercial, general aviation, military, and other aircraft. Air Traffic Flow Management (TFM) is the process of balancing demand for airspace and airport resources with the capacity of those resources, in order to achieve both safe and efficient traffic throughput. Demand is typically estimated by predicting flight trajectories, and comparing the predictions to capacity metrics for airports and airspace. The effectiveness of TFM decision-making depends on the accuracy of these predictions. This effectiveness can be improved not only by improving prediction accuracy, but by quantifying the uncertainty in those predictions. When the uncertainty is known, decision analysis and risk management techniques can be applied to improve decision-making performance. To support this goal, a novel method has been developed for measuring and simulating uncertainty in traffic demand predictions. This method employs empirical observations of traffic characteristics to develop statistical models of the error distributions in demand predictions, which in turn can be used for Monte-Carlo simulation of specific traffic scenarios. Preliminary statistical results are presented here, as well as a discussion of simulation applications for both analysis and real-time decision-support tasks.