Threaded Track: Geospatial Data Fusion for Aircraft Flight Trajectories

Abstract

Previous studies demonstrated the capability of associating surveillance trajectories to produce a synthetic track with the best possible coverage and fidelity referred to as the threaded track. The previous process relied on synthesis of radar trajectories using identifying information (metadata) such as callsign, beacon code, and aircraft type. However, a substantial portion of general aviation flights contain no identifying information, and, thus were not included in the threaded track data repository. This study improves upon the previous methodology by removing the requirement of populated metadata for fusing flight surveillance trajectories. Instead, the updated threaded track process associates trajectories based on their temporal and spatial proximity. By employing this approach, a significant amount of data to the threaded track repository has been added and the complexity and computational cost has increased. This report describes the modifications to the threaded track process workflow and the characteristics of the resulting flights.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2012
Accession Number
AD1107970

Entities

People

  • Adric Eckstein
  • Chris Kurcz
  • Marcio Silva

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Air Platforms
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Aircrafts
  • Airport Radar Systems
  • Airports
  • Algorithms
  • Altitude
  • Anomaly Detection
  • Beacons
  • Cartesian Coordinates
  • Central Processing Units
  • Change Detection
  • Computer Programs
  • Data Fusion
  • Data Processing
  • Data Set
  • Data Sets
  • Detection
  • Digital Data
  • Measurement
  • Radar
  • Reliability
  • Sense And Avoid Systems
  • Slant Range
  • Trajectories

Readers

  • Database Systems and Applications
  • Mycotoxin ecology in Amazonian ecosystems.
  • Sensor Fusion and Tracking Systems.