Accession Number : ADA589697


Title :   Uncorrelated Encounter Model of the National Airspace System, Version 2.0


Descriptive Note : Project rept.


Corporate Author : MASSACHUSETTS INST OF TECH LEXINGTON LINCOLN LAB


Personal Author(s) : Weinert, Andrew J ; Harkleroad, Eric P ; Griffith, J D ; Edwards, Matthew W ; Kochenderfer, Mykel J


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a589697.pdf


Report Date : 19 Aug 2013


Pagination or Media Count : 96


Abstract : Airspace encounter models, which provide realistic close encounter situations representative of the airspace, are a critical component in the safety assessment of sense and avoid systems. Of particular relevance to Unmanned Aircraft Systems is the potential for encountering general aviation aircraft that are flying under Visual Flight Rules and which may not be in contact with air traffic control. In response to the need to develop a model of these types of encounters, Lincoln Laboratory undertook an extensive radar data collection and modeling effort involving over 200 radars across the United States. This report describes the structure, content, and usage of that encounter model. The model is based on the use of Bayesian networks to represent relationships between dynamic variables and to construct random aircraft trajectories that are statistically similar to those observed in the radar data. The result is a framework from which representative intruder trajectories can be generated and used in fast-time Monte Carlo simulations to provide accurate estimates of collision risk. This report includes updates to the scope and data processing methods used for the initial version of the uncorrelated encounter model. The updates are motivated by increasing interest in sense and avoid applications related to self-separation in addition to collision avoidance. Self-separation encounter models are likely to have stricter requirements, including the need to simulate longer encounters and greater look-ahead time. Another enhancement to the model is an additional discrete variable specifying the geographic location, which allows a single model to provide specialized coverage of different geographic regions. These regions include the contiguous United States, Alaska, islands, and offshore areas.


Descriptors :   *AIR TRAFFIC , AIR SPACE , COLLISION AVOIDANCE , DATA PROCESSING , MATHEMATICAL MODELS , MONTE CARLO METHOD


Subject Categories : Military Aircraft Operations
      Commercial and General Aviation


Distribution Statement : APPROVED FOR PUBLIC RELEASE