Air traffic flow management with layered workload constraints

Mannino, Carlo; Nakkerud, Andreas; Sartor, Giorgio

doi:10.1016/j.cor.2020.105159

Cited by 19 publications

(7 citation statements)

References 14 publications

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“…Mogtit et al (2020) developed a new approach to find optimal airspace sectorization balancing the traffic controller workload between sectors, subject to airspace requirements. Mannino et al (2021) explored new mathematical models and methods to minimize total flight delays, reduce ATCo workload and provide solutions to airspace congestion in European Airspace. The study examined the problems with the path and cycle approach and created a model that provides solutions to the problems.…”

Section: Literature Reviewmentioning

confidence: 99%

An algorithmic application with flexible airspace approach

Kökhan

Gökdalay

2023

AEAT

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Purpose The purpose of this study is to develop an operational level decision support system model for air traffic controllers (ATCos) within the framework of the Flexible Use of Airspace (FUA) concept to enable more efficient use of airspace capacity. This study produces a systematic solution to the route selection process so that the ATCo can determine the most efficient route with an operational decision support system model using Dijkstra’s Shortest Path Algorithm. Design/methodology/approach In this study, a new decision support system model for ATCos in decision-making positions was recommended and used. ATCos use this model as a main model for determining the shortest and safest route for aircraft as an operational-level decision support system. Dijkstra Algorithm, used in the model, is defined step by step and then explained with the pseudocode. Findings It has been determined that when the FUA concept and DSS are used while the ATCo chooses a route, significant fuel, time and capacity savings are achieved in flight operations. Emissions resulting from the negative environmental effects of air transportation are reduced, and significant capacity increase can be achieved. The operational level decision support system developed in the study was tested with 55 scenarios on the Ankara–Izmir flight route compared to the existing fixed route. The results for the proposed most efficient route were achieved at 11.22% distance (nm), 9.36%-time (min) savings and 837.71 kg CO2 emission savings. Originality/value As far as the literature is reviewed, most studies aimed at increasing airspace efficiency produce solutions that try to improve rather than replace the normal process. Considering the literature positioning of this study compared to other studies, the proposed model provides a new systematic solution to the problems that cause human-induced route inefficiency within the framework of the FUA concept.

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Section: Literature Reviewmentioning

confidence: 99%

An algorithmic application with flexible airspace approach

Kökhan

Gökdalay

2023

AEAT

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“…In conventional manned aviation, when traffic demand is expected to be higher than airspace capacity, the provision of air traffic services will be decomposed in the different sectors [21], into tasks with manageable workload for human controllers and facilities ‡ . As such, with UAS traffic levels (density especially), tractability of the system under a single cell becomes hard, also from a human factors point of view.…”

Section: A Vll Airspace Partitionmentioning

confidence: 99%

“…The lessons learned from conventional airspace capacity management can be also useful, for instance sector redesign [18] and dynamic sectorisation [19] or, less ambitious but realistic, flexible opening of predefined airspace configurations [20]. Once the traffic density increases, the airspace will be layered for air traffic control officer (ATCO) [21]. These initiatives aim to keep the manageable workload for ATCO by decomposing the air traffic services.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Approach for On-Demand Dynamic Capacity Management Service in U-Space

Tang

Tsourdos

2022

IEEE Trans. Aerosp. Electron. Syst.

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This paper presents an integrated approach for on-demand Dynamic Capacity Management (DCM) service to be offered in U-space. The approach involves three main threads, including flight planning (demand), airspace configuration (capacity) and demand-capacity balancing (DCB). The flight planning thread produces UAS (unmanned aerial systems) trajectories for each flight that together reflect the estimated traffic demand. The airspace configuration thread defines the fundamental airspace structure and proposes dynamic adjustment schemes that determine the capacity distribution. It also enables the flight planning to reschedule alternative trajectory options to route away from possible congested areas. The last DCB thread takes the

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“…Incidentally, note that similar disjunctive programs also arise when modelling and solving airborne conflicts between aircraft (e.g. [10,19]).…”

Section: Problem Description and Literature Reviewmentioning

confidence: 99%

Scheduling Vehicles with Spatial Conflicts

Kloster

Mannino

Riise

et al. 2022

Transportation Science

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When scheduling the movement of individual vehicles on a traffic network, one must ensure that they never get too close to one another. This is normally modelled by segmenting the network and forbidding two vehicles to occupy the same segment at the same time. This approximation is often insufficient or too restraining. This study develops and systematises the use of conflict regions to model spatial proximity constraints. By extending the classical disjunctive programming approach to job-shop scheduling problems, we demonstrate how conflict regions can be exploited to efficiently schedule the collective movements of a set of vehicles, in this case aircraft moving on an airport ground network. We also show how conflict regions can be used in the short-term control of vehicle speeds to avoid collisions and deadlocks. The overall approach was implemented in a software system for air traffic management at airports and successfully evaluated for scheduling and guiding airplanes during an extensive human in the loop simulation exercise for the Budapest airport. Through simulations, we also provide numerical results to assess the computational efficiency of our scheduling algorithm.

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Air traffic flow management with layered workload constraints

Cited by 19 publications

References 14 publications

An algorithmic application with flexible airspace approach

An algorithmic application with flexible airspace approach

An Integrated Approach for On-Demand Dynamic Capacity Management Service in U-Space

Scheduling Vehicles with Spatial Conflicts

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