국내 최대 기계 및 로봇 연구정보

기술보고서

기술보고서 게시판 내용
타이틀	Airport Traffic Conflict Detection and Resolution Algorithm Evaluation
저자	Jones, Denise R.;; Chartrand, Ryan C.;; Wilson, Sara R.;; Commo, Sean A.;; Otero, Sharon D.;; Barker, Glover D.
Keyword	AIR TRAFFIC;; AIR TRAFFIC CONTROL;; AIR TRANSPORTATION;; AIRCRAFT APPROACH SPACING;; ALGORITHMS;; DETECTION;; NASA PROGRAMS;; RUNWAYS;; SURVEILLANCE;; TRAJECTORIES
URL	http://hdl.handle.net/2060/20120016737
보고서번호	NF1676L-14244
발행년도	2012
출처	NTRS (NASA Technical Report Server)
ABSTRACT	A conflict detection and resolution (CD&R) concept for the terminal maneuvering area (TMA) was evaluated in a fast-time batch simulation study at the National Aeronautics and Space Administration (NASA) Langley Research Center. The CD&R concept is being designed to enhance surface situation awareness and provide cockpit alerts of potential conflicts during runway, taxi, and low altitude air-to-air operations. The purpose of the study was to evaluate the performance of aircraft-based CD&R algorithms in the TMA, as a function of surveillance accuracy. This paper gives an overview of the CD&R concept, simulation study, and results. The Next Generation Air Transportation System (NextGen) concept for the year 2025 and beyond envisions the movement of large numbers of people and goods in a safe, efficient, and reliable manner [1]. NextGen will remove many of the constraints in the current air transportation system, support a wider range of operations, and provide an overall system capacity up to three times that of current operating levels. Emerging NextGen operational concepts [2], such as four-dimensional trajectory based airborne and surface operations, equivalent visual operations, and super density arrival and departure operations, require a different approach to air traffic management and as a result, a dramatic shift in the tasks, roles, and responsibilities for the flight deck and air traffic control (ATC) to ensure a safe, sustainable air transportation system.