Air traffic simulation with 4D multi-criteria optimized trajectories

Rosenow, Judith; Fricke, Hartmut; Schultz, Michael

doi:10.1109/wsc.2017.8247986

Cited by 24 publications

(20 citation statements)

References 12 publications

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“…Together with typical input variables for trajectory optimization, such as city pair, aircraft type, engine type, payload, optimization function (i.e., minimum fuel burn, minimum time of flight, minimum contrail impact, or multi-criteria optimization), a trajectory optimization model with implemented key performance assessment can be used for the calculation of the optimum vertical and lateral path. Here, we use the validated simulation environment TOMATO [28][29][30] which includes the aircraft performance model COALA [31,32] for vertical optimization and for the quantification of the emissions. In TOMATO, the trajectory is optimized iteratively by assessing each interim solution regarding several key performance indicators (KPI) including contrails [33].…”

Section: Flight Performancementioning

confidence: 99%

Individual Condensation Trails in Aircraft Trajectory Optimization

Rosenow

Fricke

2019

Sustainability

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Contrails are one of the driving contributors to global warming, induced by aviation. The quantification of the impact of contrails on global warming is nontrivial and requires further in-depth investigation. In detail, condensation trails might even change the algebraic sign between a cooling and a warming effect in an order of magnitude, which is comparable to the impact of aviation-emitted carbon dioxides and nitrogen oxides. This implies the necessity to granularly consider the environmental impact of condensation trails in single-trajectory optimization tools. The intent of this study is the elaboration of all significant factors influencing on the net effect of single condensation trails. Possible simplifications will be proposed for a consideration in single-trajectory optimization tools. Finally, the effects of the most important impact factors, such as latitude, time of the year, and time of the day, wind shear, and atmospheric turbulence as well as their consideration in a multi-criteria trajectory optimization tool are exemplified. The results can be used for an arbitrary trajectory optimization tool with environmental optimization intents.

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Section: Flight Performancementioning

confidence: 99%

Individual Condensation Trails in Aircraft Trajectory Optimization

Rosenow

Fricke

2019

Sustainability

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“…With the implementation of the 4D trajectory management, aircraft will not be constrained by waypoints and flight levels any more. Hence, air traffic will be more homogeneously distributed in the upper air space [20][21][22] . Therewith, the available capacity (i.e.…”

Section: Air Traffic Flow Managementmentioning

confidence: 99%

“…Furthermore, non-constant air speeds and cruising altitudes spread the aircraft more widely within the airspace and therewith increase the possible airspace capacity (i.e. maximum number of aircraft, integrated over the whole European airspace) 21,22 although wind speed and wind direction are considered in the optimisation function, amongst others. In the scenario of optimised trajectories, 1,637 artificial airspaces out of 2,739 (61°l ongitude times 39°latitude) artificial airspaces are used by aircraft during this hour, whereas in the reference scenario, only 1,554 artificial airspaces out of 2,739 artificial airspaces are used (compare Fig.…”

Section: Impact Of Optimised Trajectories On the Atfmmentioning

confidence: 99%

Impact of optimised trajectories on air traffic flow management

et al. 2019

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Multicriteria trajectory optimisation is expected to increase aviation safety, efficiency and environmental compatibility, although neither the theoretical calculation of such optimised trajectories nor their implementation into today’s already safe and efficient air traffic flow management reaches a satisfying level of fidelity. The calibration of the underlying objective functions leading to the virtually best available solution is complicated and hard to identify, since the participating stakeholders are very competitive. Furthermore, operational uncertainties hamper the robust identification of an optimised trajectory. These uncertainties may arise from severe weather conditions or operational changes in the airport management. In this study, the impact of multicriteria optimised free route trajectories on the air traffic flow management is analysed and compared with a validated reference scenario which consists of real flown trajectories during a peak hour of Europe’s complete air traffic in the upper airspace. Therefore, the TOolchain for Multicriteria Aircraft Trajectory Optimisation (TOMATO) is used for both the multicriteria optimisation of txrajectories and the calculation of the reference scenario. First, this paper gives evidence for the validity of the simulation environment TOMATO, by comparison of the integrated reference results with those of the commercial fast-time air traffic optimiser (AirTOp). Second, TOMATO is used for the multicriteria trajectory optimisation, the assessment of the trajectories and the calculation of their integrated impact on the air traffic flow management, which in turn is compared with the reference scenario. Thereby, significant differences between the reference scenario and the optimised scenario can be identified, especially considering the taskload due to frequent altitude changes and rescinded constraints given by waypoints in the reference scenario. The latter and the strong impact of wind direction and wind speed cause wide differences in the patterns of the lateral trajectories in the airspace with significant influence on the airspace capacity and controller’s taskload. With this study, the possibility of a successful 4D free route implementation into Europe’s upper airspace is proven even over central Europe during peak hours, when capacity constraints are already reaching their limits.

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“…Current research in the field of air traffic management primarily addresses the economic and ecological impact of flight trajectories (cf. [10][11][12][13]) but has to include efficient aircraft ground operations as well in order to ensure an efficient aircraft trajectory over the day of operations [14]. In this context, research was conducted with regards to the turnaround performance implementing collaborative management [15] or addressing the future airport performance [16].…”

Section: Introductionmentioning

confidence: 99%

Advancements in Passenger Processes at Airports from Aircraft Perspective

Schultz

Schmidt

2018

Sustainability

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We provide an overview about the research done in the field of airport and airline operations with a specific focus on a fast, reliable and sustainable passenger boarding. The reliable prediction operational processes along the aircraft air-ground trajectory demands a comprehensive consideration of economic, environmental, and handling constraints of airlines and airports. In particular, the critical process of passenger boarding is driven by passengers' ability to follow the proposed boarding procedures and is not controlled by operational experts. In this paper we implement and compare two individual-based approaches which cover both specific passenger behavior during boarding and operational airline constraints. Both models used similar input values, but exhibit different magnitudes in the benefit evaluation. Furthermore, we demonstrate that there are still unused potentials to further improve boarding progress by using innovative infrastructural adaptations inside the aircraft cabin.

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Air traffic simulation with 4D multi-criteria optimized trajectories

Cited by 24 publications

References 12 publications

Individual Condensation Trails in Aircraft Trajectory Optimization

Individual Condensation Trails in Aircraft Trajectory Optimization

Impact of optimised trajectories on air traffic flow management

Advancements in Passenger Processes at Airports from Aircraft Perspective

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