Award Data

Collaborative Decision Making (CDM) embodies a new philosophy for managing air traffic. The initial implementation of CDM has been aimed at airport Ground Delay Programs (GDPs). However, it has become increasingly evident that very significant delays and throughput degradations have arisen from en-route airspace problems and limitations, particularly from convective weather activity. This effort f ...

Aircraft noise mitigation is a major issue in the design and establishment of departure procedures in busy terminal areas. Even with the establishment of Noise Abatement procedures, there is a significant need for improvement in the mitigation of noise created by aircraft operations. Some Noise Abatement procedures are difficult to implement for the controller, pilot, or both. In such cases, autom ...

Aircraft noise mitigation is a major issue in the design and establishment of departure procedures in busy terminal areas. Even with the establishment of Noise Abatement procedures, there is a significant need for improvement in the mitigation of noise created by aircraft operations. Some Noise Abatement procedures are difficult to implement for the controller, pilot, or both. In such cases, autom ...

"The Decision Architecture (DA) being developed by project Hercules consists of a large Bayes' net designed to combine information from multiple, sources, and systems to help make decisions about the number, kinematic state, and types of targets presentduring all phases of a ballistic missile attack. The DA will integrate information from a number of disparate subsystems in several locations. Du ...

The Decision Architecture (DA) being developed for MDA within project Hercules consists of a large Bayes' net designed to combine information from multiple sources and systems to help make decisions about the number, kinematic state, and types of targetspresent during all phases of a ballistic missile attack. The DA will integrate information from a number of disparate subsystems in several locat ...

"We propose to develop clustering techniques for classification of BMD targets. Model-based classification is vulnerable to unknown threats and variations on known threats. Unsupervised classification approaches have been given little consideration within BMD research. A system using a combination of supervised (model-based) classification and unsupervised (cluster-based) classification would be f ...

In this Phase II SBIR effort, Metron designs and develops an intent inference algorithm, an algorithm that infers the intent of the pilot of an aircraft that is being tracked by a surveillance system. Data describing the environment around the aircraft, for instance, the location of nearby aircraft, weather, Navaids, alternate airports, turbulence, and operational data are used to determine plausi ...

Metron proposes to develop a parallel-processing discrete event simulation of the entire National Air Space that can be used to assess courses of action in response to disturbances that impact Air Traffic Management. The innovative thrust is to use the NASA-patented SPEEDES parallel-processing engine. The ability of SPEEDES to efficiently distribute processing over large numbers of processors will ...

Metron, Inc. builds a data mining tool for fleet management that allows the user, in real time, to identify cost benefit opportunities within large quantities of operational data. Designed for Airlines Operations Control (AOC) personnel, we build a tool that manages large quantities of current time and archived air traffic, crew, passenger, hub, weather, and National Airspace System (NAS) data. Ou ...

"Effective countermeasures against enemy mines in the littoral require comprehensive knowledge of the undersea environment. To compile an accurate and comprehensive model of the undersea environment these data must be fused effectively. There are manychallenges associated with these data fusion tasks.In order to fuse images or maps the images and/or maps must be registered against each other. With ...