Separation-compliant speed control in terminal airspace

Rezaei, Ali Mohammad; Sadovsky, Alexander V.; Speyer, Jason L.; Isaacson, Doug

doi:10.2514/6.2013-4781

Cited by 1 publication

(3 citation statements)

References 13 publications

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“…The more recent works, e.g. [9,4,5,8,6,19], have, by contrast, attempted to model the motion of the aircraft and to enforce separation continuously in time. These works, however, tend to run into the challenge of unrealistic computed speed profiles, which hinders executability in real time.…”

Section: Prior Research and Its Lessonsmentioning

confidence: 99%

“…This region will be denoted R(α 1 , α 2 ); see Figure 4. (For the details of this computation, see [4,5,6].) Furthermore, assuming aircraft α 1 enters C at time t = 0, and aircraft α 2 does so at a later time t > 0, one obtains a point…”

Section: The Algorithmmentioning

confidence: 99%

“…Two areas of such research are Precision Air Traffic Operations in terminal airspace [3,4,5,6,1,7], including the research sub-area called Time Advance [8,9], and Integrated Arrival-Departure Operations [10] (see also the references cited in Ref. [10]).…”

Section: Introductionmentioning

confidence: 99%

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Strategic time-based metering that assures separation for integrated operations in a terminal airspace

Sadovsky

Jastrzebski

2015

15th AIAA Aviation Technology, Integration, and Operations Conference

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This paper reports an algorithm for strategic time-based metering of air traffic arriving and departing from a large (∼ tens of nautical miles) area (called here, the commitment region) around an airport or metroplex. The algorithm assures separation continuously in time and avoids a dictation of intent to an aircraft crew. This is accomplished by allowing an aircraft (specifically, its Flight Management System) to specify, and commit to, an intended route and ground speed profile along that route within the commitment region, and by supplying the time at which to enter the region to the aircraft crew. The airspace that comprises the commitment region need not be confined to the terminal airspace and can include some of the en-route space: the size and shape of the commitment region are parameters in the algorithm. An exact formula for including speed profile uncertainty in the algorithm is provided. The algorithm is applied to a number of data sets recorded during actual air traffic operations in the Southern California TRACON in July of 2014 and the Atlanta TRACON in November and December of 2013. The results of the numerical simulations indicate that the algorithm succeeds at keeping the aircraft separated, but introduces, in its current implementation, more separation than that observed in actual operations. This excess separation can be reduced by modeling more accurately the Visual Flight Rules separation practices, a direction for future research.

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