Coordinated capacity and demand management in a redesigned Air Traffic Management value-chain

Ivanov, Nikola; Jovanović, Radosav; Fichert, Frank; Strauss, Arne; Starita, Stefano; Babić, Obrad; Pavlović, Goran

doi:10.1016/j.jairtraman.2018.12.007

Cited by 20 publications

(12 citation statements)

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“…A similar situation occurs in some of the few models that address the flight planning at a strategic level as in Bolić et al [7], Ivanov et al [17], and Starita et al [18]. Also in these cases, the complexity of the mathematical formulations requires that the dimensions of the problem instances be limited.…”

Section: Introductionmentioning

confidence: 74%

Community Detection for Air Traffic Networks and Its Application in Strategic Flight Planning

2021

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An environmentally and economically sustainable air traffic management system must rely on fast models to assess and compare various alternatives and decisions at the different flight planning levels. Due to the numerous interactions between flights, mathematical models to manage the traffic can be computationally time-consuming when considering a large number of flights to be optimised at the same time. Focusing on demand–capacity imbalances, this paper proposes an approach that permits to quickly obtain an approximate but acceptable solution of this problem. The approach consists in partitioning flights into subgroups that influence each other only weakly, solving the problem independently in each subgroup, and then aggregating the solutions. The core of the approach is a method to build a network representing the interactions among flights, and several options for the definition of an interaction are tested. The network is then partitioned with existing community detection algorithms. The results show that applying a strategic flight planning optimisation algorithm on each subgroup independently reduces significantly the computational time with respect to its application on the entire European air traffic network, at the cost of few and small violations of sector capacity constraints, much smaller than those actually observed on the day of operations.

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Section: Introductionmentioning

confidence: 74%

Community Detection for Air Traffic Networks and Its Application in Strategic Flight Planning

2021

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“…However, it might be combined with measures of demand as well as capacity management (see e.g. the Project name: Coordinated Capacity Ordering and Trajectory Pricing for better-performing ATM (COCTA) approach: Ivanov et al, 2019; Jovanović et al, 2018).…”

Section: Potential Alternatives To Current Route Charging Systemmentioning

confidence: 99%

Effects of fragmentation on route charges

Pavlović

Fichert

2019

Competition and Regulation in Network Industries

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The European Air Traffic Management (ATM) system is highly fragmented. It consists of 37 air navigation service providers (ANSPs) whose areas of responsibility are, in most cases, limited to national borders. ATM fragmentation impacts air traffic operations in Europe in several ways. One of them is reflected through the current route charging system, which is designed and adapted to the fragmented ATM system to recover air navigation service provision costs at the level of individual ANSPs. Differences in unit rates have led to the phenomenon of aircraft taking detours around expensive charging zones, resulting in additional fuel consumption and emissions, as well as traffic shifts caused by varying unit rates. In this article, we analyze the differences in the unit rates across Europe and their evolution over the past few years. The main focus of the article is the analysis of the route charge variability on an airport-pair level, measured by an airport-pair variability indicator, which we suggest as a metric. We show the route charge variability for different flight distances, geographic areas, and flight directions, and we also identify airport pairs with the highest route charge variability. Finally, we discuss selected alternatives to the current route charging system, such as the uniform charge method and different approaches to airport-pair charging.

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“…The role of the network manager (NM) is to establish a balance between air traffic demand and airspace/airport capacity in Europe. However, currently, this role is merely moderation between aircraft operators and capacity providers, since the NM has limited instruments to influence either capacity or demand side planning decisions [2,3]. The European Commission also recognizes that the lack of the NM's clear executive powers in practice means that the NM tends to decide by consensus, which often results in weak compromises [4].…”

Section: Introductionmentioning

confidence: 99%

“…Although the NM initiates planning several months before the day of operations [2,3], most of demand-capacity imbalance situations are still resolved on the day of operations by means of demand management actions, predominantly by delaying flights. For instance, the total en-route air traffic flow management delay was 8.7 million minutes in Europe in 2016, corresponding to a traffic of more than 10 million flights [3,6].…”

Section: Introductionmentioning

confidence: 99%

“…More than 55% of total en-route delay is attributed to lack of capacity and staffing reasons, while approximately half of that delay occurred during peak summer months-June, July and August [3,6]. The Performance Review Commission notes that the capacity requirements are frequently not met by some area control centres, but also that maximum capacity is not delivered at the times when it is needed [3,6].…”

Section: Introductionmentioning

confidence: 99%

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A Variation of the ATC Work Shift Scheduling Problem to Deal with Incidents at Airport Control Centers

2020

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This paper deals with a variation of the air traffic controller (ATC) work shift scheduling problem focusing on the tactical phase, in which the plan for the day of operations can be modified according to real-time traffic demand or other possible incidents (one or more ATCs become sick and/or there is an increase in unplanned air traffic), which may lead to a new sectorization and a lower number of available ATCs. To deal with these issues, we must reassign the available ATCs to the new sectorization established at the time the incident happens, but also taking into account the work done by the ATCs up to that point. We propose a new methodology consisting of two phases. The goal of the first phase is to build an initial possibly infeasible solution, taking into account the sectors that have been closed or opened in the new sectorization, together with the ATCs available after the incident. In the second phase, we use simulated annealing (SA) and variable neighborhood search (VNS) metaheuristics to derive a feasible solution in which the available ATCs are used and all the ATC labor conditions are met. A weighted additive objective function is used in this phase to account for the feasibility of the solution but also for the number of changes in the control center at the time the incident happens and the similarity of the derived solution with templates usually used by the network manager operations center, a center managing the air traffic flows of an entire network of control centers. The methodology is illustrated by means of seven real instances provided by the Air Traffic Management Research, Development and Innovation Reference Center (CRIDA) experts representing possible incidents that may arise. The solutions derived by SA outperform those reached by VNS in terms of both the number of violated constraints in all seven instances, and solution compactability in six out the seven instances, and both are very similar with regard to the number of control center changes at the time of the incident. Although computation times for VNS are clearly better than for SA, CRIDA experts were satisfied with SA computation times. The solutions reached by SA were preferred.

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Coordinated capacity and demand management in a redesigned Air Traffic Management value-chain

Abstract: Please refer to published version for the most recent bibliographic citation information. If a published version is known of, the repository item page linked to above, will contain details on accessing it.

Cited by 20 publications

References 11 publications

Community Detection for Air Traffic Networks and Its Application in Strategic Flight Planning

Community Detection for Air Traffic Networks and Its Application in Strategic Flight Planning

Effects of fragmentation on route charges

A Variation of the ATC Work Shift Scheduling Problem to Deal with Incidents at Airport Control Centers

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