Use of the departure enhanced planning and runway/taxiway assignment system (DEPARTS) for optimal departure scheduling at busy airports

Cooper, Wayne W.; Cormier, R.H.; Foster, John; Mills, M.J.; Mohleji, S.C.

doi:10.1109/dasc.2002.1067898

Cited by 7 publications

(7 citation statements)

References 5 publications

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“…In an additional set of experiments, when DEPARTS was given perfect predictions of ready-for-pushback time over a finite timehorizon, the decrease in average taxi-out time per flight varied linearly with the length of the time-horizon. These preliminary results were later replicated and extended; see [7].…”

Section: Decision-support Tools For Airport Surface Trafficsupporting

confidence: 56%

“…Planning and Runway/Taxiway Assignment System (DEPARTS), an optimization-based tool which incorporates current airport conditions, departure demand, taxiing aircraft status, downstream traffic flow restrictions and user preferences to optimally assign and sequence traffic to taxi routes, runways and departure fixes [7]. The Ground-Operation Situation Awareness and Flow Efficiency (GO-SAFE) concept is currently under development at Optimal Synthesis Inc. [5].…”

Section: Decision-support Tools For Airport Surface Trafficmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of Improved Pushback Forecasts Derived from Airline Ground Operations Data

Carr

Theis

Clarke

et al. 2005

Journal of Aerospace Computing, Information, and Communication

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Section: Decision-support Tools For Airport Surface Trafficsupporting

confidence: 56%

Section: Decision-support Tools For Airport Surface Trafficmentioning

confidence: 99%

Evaluation of Improved Pushback Forecasts Derived from Airline Ground Operations Data

Carr

Theis

Clarke

et al. 2005

Journal of Aerospace Computing, Information, and Communication

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“…In [1], through Compromise Immune Algorithm (CIA), optimization of flight departure and arrival is achieved on the basis of ensuring security and considering airport capacity limit. In addition, the Departure Enhanced Planning and Runway/Taxiway Assignment System (DEPARTS) in [2] has been developed by CAASD as fast departure optimization sequencing algorithms at busy airports for a future short term. Some effort has been made to use genetic algorithms (GA) [3] to tackle departure sequencing problem for global optimality.…”

Section: Introductionmentioning

confidence: 99%

Affinity propagation clustering classification method for aircraft in arrival and departure sequencing

Lei

Jun

Yanbo

2009

2009 IEEE/AIAA 28th Digital Avionics Systems Conference

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With the increase of the fight flow on airport, the category of aircraft has a great influence on the effect of aircraft arrival and departure sequencing. The classification method based on trial whorl is a popular one, which divides all aircrafts into four types (Heavy, Large, Medium, Small).In this paper, a new classification method is presented, in which all aircrafts are classified with considering not only trial whorl but also some economical factors such as the arrival and departure time, flight mission, flight object, and flight priority. The fast and efficient affinity propagation clustering algorithm is applied to aircraft classification, which regards all the aircraft as the exemplars, and thus reduces the computing time for aircraft classification without iterative circulation. Finally, our new aircraft classification is applied to departure sequencing simulation, the results of which demonstrate our method is more rational, and economic benefit can be distinctly improved compared to the trial whorl method.

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confidence: 99%

Aircraft Departure Sequencing Method Based on Integer Quadratic Scheduling Programming Algorithms

Zheng

Zhang

Zhu

2009

2009 First International Conference on Information Science and Engineering

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With the increase of the fight flow at airport, the runway capacity can't satisfy aircraft transportation so as that the airplanes on the taxiways will queue to wait for taking off. The paper proposed an innovative model, the integer quadratic programming algorithm (IQPA) to solve taxiway departure scheduling on the airport. The method can realize sequence optimization considering the flight interval of fore-and-aft aircraft type. As compared with traditional measures, the total departure time and the algorithm optimization time is decreased, which is simulated in the paper. In the end, simulation results demonstrate the availability and practicability with two scenarios.Keywords-departure scheduling; integer quadratic sequencing programming algorithm; the flight interval of fore-and-aft aircraft type

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Use of the departure enhanced planning and runway/taxiway assignment system (DEPARTS) for optimal departure scheduling at busy airports

Cited by 7 publications

References 5 publications

Evaluation of Improved Pushback Forecasts Derived from Airline Ground Operations Data

Evaluation of Improved Pushback Forecasts Derived from Airline Ground Operations Data

Affinity propagation clustering classification method for aircraft in arrival and departure sequencing

Aircraft Departure Sequencing Method Based on Integer Quadratic Scheduling Programming Algorithms

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