Tactical Conflict Alerting Aid for Air Traffic Controllers

Paielli, Russell A.; Erzberger, Heinz; Chiu, Danny; Heere, Karen R.

doi:10.2514/1.36449

Cited by 54 publications

(59 citation statements)

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“…A complex set of current, dynamic separation standards for terminal airspace, as documented in the Federal Aviation Administration (FAA) order 7110.65S [16], is adapted to define losses of separation. The new algorithm is compared with an algorithm that models the dualtrajectory algorithm of en route TSAFE [9] and another that models Conflict Alert. The comparison is done from analysis of false-alert rates and alert lead times through a replay of recent recorded realworld data of arrival and departure operations and 70 operational error cases from Dallas/Fort Worth (DFW) TRACON.…”

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confidence: 99%

“…Most of the research to date has focused on en route airspace. En route prototypes of TSAFE have been developed and studied with the use of en route operational error cases [6][7][8][9], and some attention on TSAFE conflict resolution has appeared [10][11][12]. TSAFE as an independent system to aid the controller for the near term has also been proposed [8][9][10][11].…”

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confidence: 99%

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Tactical Conflict Detection in Terminal Airspace

Tang

Robinson

Denery

2011

Journal of Guidance, Control, and Dynamics

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Air traffic systems have long relied on automated short-term conflict prediction algorithms to warn controllers of impending conflicts (losses of separation). The complexity of terminal airspace has proven difficult for such systems, as it often leads to excessive false alerts. Thus, the legacy system, called Conflict Alert, which currently provides shortterm alerts in both en route and terminal airspace, is often inhibited or desensitized in areas where frequent false alerts occur, even though the alerts are provided only when an aircraft is in dangerous proximity of other aircraft. This research investigates how a minimal level of flight-intent information may be used to improve short-term conflict detection in terminal airspace such that it can be used by the controller to maintain legal aircraft separation. The flight-intent information includes a site-specific nominal arrival route and inferred altitude clearances in addition to the flight plan that includes the area-navigation departure route. A new tactical conflict detection algorithm is proposed, which uses a single analytic trajectory, determined from the flight intent and the current state information of the aircraft, and includes a complex set of current, dynamic separation standards for terminal airspace. The new algorithm is compared with an algorithm that models a known en route algorithm and another algorithm that models Conflict Alert. This is done by analysis of false-alert rate and alert lead time with the use of recent real-world data of arrival and departure operations and a large set of operational error cases from the Dallas/ Fort Worth terminal radar approach control. The new algorithm yielded a false-alert rate of two per hour and an average alert lead time of 38 s.

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confidence: 99%

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confidence: 99%

Tactical Conflict Detection in Terminal Airspace

Tang

Robinson

Denery

2011

Journal of Guidance, Control, and Dynamics

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“…In addition, the prototype produced 40% fewer false alerts than the operational conflict alert function. 35 These promising results have led to FAA consideration for implementing an adaptation of the prototype in a future version of the En Route Automation Modernization System.…”

Section: Present Research Contributions 1 Separation Assurancementioning

confidence: 99%

A Perspective on NASA Ames Air Traffic Management Research

Schroeder

2009

9th AIAA Aviation Technology, Integration, and Operations Conference (ATIO)

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This paper describes past and present air-traffic-management research at NASA Ames Research Center. The descriptions emerge from the perspective of a technical manager who supervised the majority of this research for the last four years. Past research contributions built a foundation for calculating accurate flight trajectories to enable efficient airspace management in time. That foundation led to two predominant research activities that continue to this day -one in automatically separating aircraft and the other in optimizing traffic flows. Today's national airspace uses many of the applications resulting from research at Ames. These applications include the nationwide deployment of the Traffic Management Advisor, new procedures enabling continuous descent arrivals, cooperation with industry to permit more direct flights to downstream waypoints, a surface management system in use by two cargo carriers, and software to evaluate how well flights conform to national traffic management initiatives. The paper concludes with suggestions for prioritized research in the upcoming years. These priorities include: enabling more firstlook operational evaluations, improving conflict detection and resolution for climbing or descending aircraft, and focusing additional attention on the underpinning safety critical items such as a reliable datalink.

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“…Collision prediction is based on the position after prediction time t pred , which is estimated using the current position and velocity [16]. To discuss the performance and alarm rate of the collision detection systems, TCAS II and TCAS IV are addressed, in which the A/C approaches with constant velocity are considered.…”

Section: A Constant-velocity Flightmentioning

confidence: 99%

Collision Detection System Based on Differential Carrier-Phase Global Positioning System Broadcasts

Hwang

Speyer

2009

Journal of Aircraft

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The Global Positioning System has great potential for the development of new collision avoidance systems and is being considered for the next-generation traffic alert and collision avoidance system. The navigation states estimated by Global Positioning System code information can be broadcast to nearby airplanes via the current traffic alert and collision avoidance system equipment. In this paper, the problem of aircraft collision detection system using Global Positioning System carrier-phase information is addressed. A new approach to the carrier-phase-based relative position estimation problem is proposed that uses particle filters in which the samples are drawn from Cartesian position space coordinates. The particle filters with position samples makes the Global Positioning System carrierphase-based position estimation algorithm robust and practical in that the algorithm is not sensitive to changes of Global Positioning System satellites and cycle slips. The same algorithm can be used to estimate the vehicle attitude if multiple Global Positioning System antennas are used. For a reliable and enhanced collision avoidance system, threedimensional trajectories are projected using relative position, velocity, and attitude estimates. It is shown that the performance of the Global Positioning System carrier-phase-based collision-detecting algorithm meets the accuracy requirements for a precise approach of flight with significantly less collision false alarms and no miss alarms.

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Tactical Conflict Alerting Aid for Air Traffic Controllers

Cited by 54 publications

References 1 publication

Tactical Conflict Detection in Terminal Airspace

Tactical Conflict Detection in Terminal Airspace

A Perspective on NASA Ames Air Traffic Management Research

Collision Detection System Based on Differential Carrier-Phase Global Positioning System Broadcasts

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