Optimization of Airport Taxiway Operations at Detroit Metropolitan Airport (DTW)

Lee, Hanbong; Balakrishnan, Hamsa

doi:10.2514/6.2010-9151

Cited by 15 publications

(16 citation statements)

References 5 publications

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“…Maximum and minimum taxi speed limits are taken into account in the model in the form of the minimum and maximum travel times on each link. Additional constraints are introduced to prevent head-on collisions at intersection points [13].…”

Section:   mentioning

confidence: 99%

“…Details of the formulation can be found in [13]. The airport taxiway system is modeled as a network of links and nodes.…”

Section: Taxi Trajectory Optimizationmentioning

confidence: 99%

“…The model also includes links that connect adjacent nodes, representing taxiway segments between two points on the surface. Time is initially discretized into 5 sec intervals [13]. A 5 sec time interval ensures that every intersection in the taxi route is captured without missing any significant events.…”

Section: Taxi Trajectory Optimizationmentioning

confidence: 99%

“…These approaches are typically aimed at determining the optimal times for each aircraft to reach significant control points along its taxi route, while considering the movements of the other flights on the ground. Such individual aircraftbased (or Lagrangian) approaches include Dynamic Programming-based taxi route optimization using Dijkstra's algorithm [6], Time-Dependent Shortest Path techniques [7], and Mixed Integer Linear Programming (MILP) formulations ( [8][9][10][11][12][13]). The integer programming model used in this paper for the trajectory-based optimization of taxiway operations proposed in this paper is derived from prior work by the authors, using data from DTW airport [13].…”

Section: Introductionmentioning

confidence: 99%

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A comparison of aircraft trajectory-based and aggregate queue-based control of airport taxi processes

Lee

Simaiakis

Balakrishnan

2010

29th Digital Avionics Systems Conference

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There is significant potential to decrease fuel burn, emissions, and delays of aircraft at airports by optimizing surface operations. A simple surface traffic optimization approach is to hold aircraft back at the gates based on aggregate information on surface queues. Depending on the level of surface surveillance and onboard equipage, it may also be possible to use a more complex approach, namely, to simultaneously optimize the surface trajectories of all taxiing aircraft. Using data from the Detroit Metropolitan Wayne County airport (DTW), this paper compares the benefits of the two approaches, and finds that at a relatively uncongested airport such as DTW, the aggregate queue-based approach only yields modest improvements in taxi-out time, while the trajectory-based approach yields a nearly 23% decrease in average taxi-out time (achieving the average unimpeded taxi-out time).

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Section:   mentioning

confidence: 99%

“…Details of the formulation can be found in [13]. The airport taxiway system is modeled as a network of links and nodes.…”

Section: Taxi Trajectory Optimizationmentioning

confidence: 99%

Section: Taxi Trajectory Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A comparison of aircraft trajectory-based and aggregate queue-based control of airport taxi processes

Lee

Simaiakis

Balakrishnan

2010

29th Digital Avionics Systems Conference

Self Cite

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show abstract

“…Trajectory optimization methods are widely used to minimize pollutant emissions during departure and arrival [1][2][3]. Besides, the airport taxiway operation can be optimized to reduce the air pollution in vicinities of airports [4]. This paper presents the concept and advantages of vertically curved runways for reducing the air pollution in the vicinity of airports while also increasing the productivity of passenger aircraft (the product of the aircraft payload and the aircraft range).…”

mentioning

confidence: 99%

Vertically Curved Runways for Reducing Airport Environmental Impact and Increasing Aircraft Productivity

Elham

Curran

2015

Journal of Aircraft

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This paper presents the concept and advantages of vertically curved runways for reducing the air pollution in the vicinity of airports, while also increasing the productivity of passenger aircraft. The shape of a curved runway was optimize to minimize the produced CO 2 during an aircraft takeoff and to maximize the aircraft takeoff weight for a given runway horizontal length. A method for aircraft takeoff simulation is presented and validated using actual data of a passenger aircraft. Using that method, a series of single-objective as well as multi-objective optimizations was performed to find the optimum runway shape for different objectives: minimizing the produced CO 2 during takeoff, maximizing the aircraft takeoff weight, and minimizing the runway construction cost, while achieving the first two objectives. The results of the optimizations showed that, for a Boeing 747-400 class aircraft, about 250 kg reduction in the produced CO 2 during a takeoff can be achieved using a curved runway with the height of 60 m and the length of 3 km. On the other hand, the range of a similar aircraft can be increased by 2500 km using a curved runway with the same height and length comparing to a flat runway with the same horizontal length. Nomenclature D = aircraft drag F = fuel flow g = gravitational acceleration H = altitude H AEO = aircraft altitude in the end of runway with all engines operative H OEI = aircraft altitude in the end of runway with one engine inoperative H ob = obstacle height in the end of runway L = aircraft lift N g = ground reaction force S = horizontal distance S to = aircraft takeoff distance T = aircraft thrust t = time V = aircraft velocity V EF = engine failure speed V OEI = aircraft speed in the end of runway with one engine inoperative V R = rotation speed W = aircraft weight W TO = aircraft takeoff weight α = angle of attack γ = flight path angle θ = aircraft pitch angle μ g = runway friction coefficient ϕ = runway slope

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Control and optimization algorithms for air transportation systems

Balakrishnan

2016

Annual Reviews in Control

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Optimization of Airport Taxiway Operations at Detroit Metropolitan Airport (DTW)

Cited by 15 publications

References 5 publications

A comparison of aircraft trajectory-based and aggregate queue-based control of airport taxi processes

A comparison of aircraft trajectory-based and aggregate queue-based control of airport taxi processes

Vertically Curved Runways for Reducing Airport Environmental Impact and Increasing Aircraft Productivity

Control and optimization algorithms for air transportation systems

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