Reducing ATFM delays through strategic flight planning

Bolić, Tatjana; Castelli, Lorenzo; Corolli, Luca; Rigonat, D.

doi:10.1016/j.tre.2016.12.001

Cited by 54 publications

(32 citation statements)

References 16 publications

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“…Hence, when valuing the current state or determining projections of air traffic development it's important to include different factors -ranging from ecologic to economic impacts (Steiner et al, 2008). Especially because their strategic planning can lead to reduction of delays and costs (Bolić et al, 2017). In that context, it can be distinguished one more airspace fragmentation type.…”

Section: Discussionmentioning

confidence: 99%

European Airspace Fragmentation Typology

2020

IJTTE

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By reviewing bibliography sources addressing airspace design and system performances, it's evident that airspace fragmentation decreases the efficiency of European Air Traffic Management (ATM) system. Although it's often mentioned, a minor progress has been made to describe this issue more in-depth. Therefore, this research was carried out with the purpose to determine typology of European airspace fragmentation and to identify topic issues that need to be addressed in further research. The research is focused on literature review and analysis of European airspace design. As result of conducted analysis, five airspace fragmentation types have been defined and described. Accordingly, spatial distribution and temporal consistency of airspace fragmentation types were depicted as well as their similarities and differences. In addition, this research identifies airspace fragmentation type requiring additional study. Lastly, this research paper aims to contribute to better understanding of ATM system arrangement and simplify strategic planning at national and regional level in terms of capacity, cost-efficiency, environment and safety as four pillars of future development of European ATM system.

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Section: Discussionmentioning

confidence: 99%

European Airspace Fragmentation Typology

2020

IJTTE

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“…Aircraft rotations are considered by turnaround time constraints. Bolić et al (2017) [18] present an integer programming model for network-based flight scheduling problem. Apart from the assigning departure time to each flight, the proposed model also gives flight route decisions.…”

Section: Literature Reviewmentioning

confidence: 99%

A Simultaneous Optimization Model for Airport Network Slot Allocation under Uncertain Capacity

Wang

Zhao

2020

Sustainability

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Serious congestion and delay problems exist in most of the busiest airports worldwide because of imbalance between scarce airport slot resources and increasing traffic demand. Various factors, especially weather conditions, exacerbate the demand–capacity imbalance. This paper presents a robust model for simultaneous slot allocation on an airport network in multiple calendar days, considering airport capacity uncertainty. The idea of robust optimization is conducive to sustainable and stable decision-making. Robustness is represented through reducing the potential scheduling conflicts in the worst case. Then the model links the strategic decisions and pre-tactical decisions in air traffic management (ATM) through the tradeoff between strategic discrepancy cost and operational congestion cost. Under the support of the Cplex solver, numerical analyses are taken to validate the characteristics and effectiveness of the proposed model. The results show that the proposed model effectively eliminates the existing and potential scheduling conflicts, and makes effective tradeoffs between airline preference and potential airport congestion risk.

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“…(3) //set the first T imb − 1 of array to 1, which corresponds to a solution; (4) for i ⟵ 0 to T imb − 1 do (5) index[i] � 1; (6) end for (7) Store the solution according to the values of array index[ ]; (8) while has Done (index, N, T imb ) do (9) for i ⟵ 0 to N + 1 do (10) //find the first 1-0 combination and change it to 0-1 combination; (11) if index[i] � � 1 and index[i] � � 0 then (12) index[i] � 0; (13) index[i] � 1; (14) Store the solution from index[ ]; (15) //move 1 of the left of 0-1 combination to the left of array; (16) int count � 0; (17) for j ⟵ 0 to i do (18) if index[j] � � 1 then (19) index[j] � 0; (20) index[count++] � 1; (21) end if (22) end for (23) end if (24) break; (25) end for (26) end while ALGORITHM 2: 0-1 combination algorithm for COR i . where Cost g and L g are the delay cost and air traffic control load if corridor COR g uses the strategy that node u represents.…”

Section: Strategy Generation Algorithm For Each Corridor Cormentioning

confidence: 99%

“…e second way is to regulate the traffic flow by using the traffic management initiatives (TMIs) [8], such that the limited capacity can be used efficiently and the impact of unavoidable delays would be reduced [9]. And, the TMIs can be classified into two categories: (1) strategic actions, which are the strategies that taken before the aircraft has been taken off, including ground delay program [10], ground stop [11], airspace flow program [12], minute-in-trail or miles-in-trail [13], and Collaborative Trajectory Options Program [14] and (2) tactical actions, which are the strategies that taken after the aircraft is airborne, consisting of rerouting [15], speed adjustment, airborne holding [16], and fix balancing.…”

Section: Introductionmentioning

confidence: 99%

Generalized Method of Modeling Minute‐in‐Trail Strategy for Air Traffic Flow Management

Huang

Yan

et al. 2019

Mathematical Problems in Engineering

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With the rapidly increasing air traffic demand, the demand-capacity imbalance problem of sector is surfaced gradually. And, minute-in-trail/miles-in-trail (MIT) is an effective strategy to balance the traffic demands and capacity. In this work, we consider the MIT strategy generation problem for the situation that a sector with NC corridors is affected by convection weather for Timb time periods. Given the sector capacity Cwt, t=1,…,Timb, under convection weather, we propose a three-phase optimization framework to generate E-MIT strategy to achieve the demand-capacity balance. First, we take the sector capacity of Timb time periods under convection weather as a whole, that is, ∑t=1TimbCwt, and then a dynamical programming-based method is proposed to allocate ∑t=1TimbCwt for NC corridors such that the capacity resources Awi of each corridor CORi, i=1,…,NC, can be determined. Second, a 0-1 combination algorithm is used to allocate the capacity resources Awi into Timb time periods for each corridor CORi such that the candidate strategies set CSi of each corridor can be determined, where a strategy solji∈CSi is an array with Timb numbers and each number represents the maximum allowed number of flights entering into sector from CORi in one time period. Finally, a modified shortest path algorithm based on the backtracking method is taken to select the optimal strategy from CSi for NC corridors such that the total delay cost and air traffic control load are minimized. Additionally, a dynamical programming-based method is proposed to generate E-MIT strategy for the special case that the sector capacities of different time periods under convection weather are the same, that is, Cw1=Cw2=⋯=CwTimb, and the generated strategies of Timb time periods for a corridor are also the same. Experimental results show that compared with the proposed three-phase optimization method, rate-based method and need-based method will spend more 8.1% and 6.3% of delay cost, respectively. When considering the special case, the experimental results show that compared with the proposed dynamical programming-based method, the rate-based method and need-based method will spend more 10.2% and 7.5% of delay cost, respectively.

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Reducing ATFM delays through strategic flight planning

Cited by 54 publications

References 16 publications

European Airspace Fragmentation Typology

European Airspace Fragmentation Typology

A Simultaneous Optimization Model for Airport Network Slot Allocation under Uncertain Capacity

Generalized Method of Modeling Minute‐in‐Trail Strategy for Air Traffic Flow Management

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