Conflict Management Considering a Smooth Transition of Aircraft Into Adjacent Airspace

Hong, Youkyung; Choi, Byungjoo; Lee, Keumjin; Kim, Youdan

doi:10.1109/tits.2016.2519904

Cited by 17 publications

(4 citation statements)

References 27 publications

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“…The authors proposed using horizontal adjustments to an aircraft's trajectory as a short-term strategy, while longer-term strategies should depend on speed and altitude adjustments. A different approach was taken by Hong et al and Pallotino et al as they developed conflict resolution schemes based on integer and linear programming models (7,8). These models search for the best trajectory shift to minimize an objective function, such as delay.…”

mentioning

confidence: 99%

Emergence of 4-D System Fundamental Diagram in Urban Air Mobility Traffic Flow

Cummings

Mahmassani

2021

Transportation Research Record: Journal of the Transportation R

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Urban air mobility (UAM) is an emerging mode that promises to provide relief to congested urban streets. UAM relies on airspace, however, which is an exhaustible resource considering minimum aircraft separation requirements. In light of these requirements and UAM vehicle attributes, a simulation is developed to explore UAM traffic flows and congestion development. A decentralized conflict resolution scheme is employed in the form of a non-linear program (NLP) to offer improved flexibility in detours relative to past aircraft simulations. An expansion of Edie’s definitions of density and flow rate are used in conjunction with average speed to explore the relationships between traffic flow characteristics. The results find that UAM traffic flows emulate those of other modes, by following the familiar traffic patterns of build-up and breakdown captured in the macroscopic fundamental diagram. These findings also suggest the presence of a capacity of airspace that should be carefully managed by operators to achieve optimal system performance. The relationships established in this study highlight issues that UAM operators and aviation planners may face and could be used to improve the vehicle traffic modeling of other UAM models.

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mentioning

confidence: 99%

Emergence of 4-D System Fundamental Diagram in Urban Air Mobility Traffic Flow

Cummings

Mahmassani

2021

Transportation Research Record: Journal of the Transportation R

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“…Hong et al described conflict resolution as a mixed integer linear programming problem under the constraints of aircraft maneuverability. A two-layer structure was adopted to solve conflicts between aircrafts, avoiding conflicts between aircrafts and ensuring smooth transition to adjacent airspace [10]. Valenzuela et al proposed a conflict detection and resolution method based on aircraft intention parameterization, which expressed the conflict resolution problem as a constrained parameter optimization problem and deployed them accordingly [11,12].…”

Section: Introductionmentioning

confidence: 99%

Conflict Resolution Strategy Based on Flight Conflict Network Optimal Dominating Set

Yang

et al. 2022

International Journal of Aerospace Engineering

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Aiming at the problem that the air traffic flow is increasing year by year and the flight conflicts are difficult to be deployed, we take aircraft as the node and established a flight conflict network based on the flight conflict relationship between aircrafts. After that, we define the concept of an optimal dominating set. By removing the optimal dominating set nodes of the flight conflict network, the conflicts in the network can be quickly resolved and the complexity of the network is reduced. In the process of solving the optimal dominating set of the network, we introduce the immune mechanism based on the particle swarm algorithm (PSO) and ensure the priority deployment of a critical aircraft and high-risk conflicts by setting two types of antigens, nodes and connected edges. Compared with the traditional method, the conflict resolution strategy presented in this paper is able to quickly identify key aircraft nodes in the network and has better sensitivity to high-risk conflict edges, which can provide controllers and the control system with a more accurate and reliable suggestion to resolve the flight conflicts macroscopically.

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“…The use of computational techniques to reduce complexity and increase the efficiency of air traffic control is relatively recent. Mixed integer linear programming ( [9], [10]), integer programming ( [11], [12]), decision tree [13], angle changes in aircraft directions based on the variable neighborhood search metaheuristic framework [14], expert systems, dynamic programming, reinforcement learning, path planning techniques, resilience engineering and metaheuristics ( [15]- [20]), are examples of the approaches used to support decision making in air traffic control, mainly involving conflict detection and resolution.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Approach for Detecting and Resolving Conflicts in Air Traffic Routes

et al. 2019

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This paper presents a hybrid model for the detection and resolution of conflicts in air traffic routes involving flight level change actions and adjustment of the longitudinal acceleration of aircraft. The strategy comprises an integrated approach that uses a fuzzy model to quantify the level of longitudinal conflict between two aircraft on the same airway. In addition, optimum flight level change actions between aircraft are calculated through a global and dynamic analysis involving the recognition of clusters of aircraft in conflict and the search for the best scenario by means of a genetic algorithm that minimizes the sum of positive conflicts. The results show that the proposed approach is able to detect and remove longitudinal conflicts in advance, providing a potential tool to support decision-making, improve safety and optimize the use of airspace.

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Conflict Management Considering a Smooth Transition of Aircraft Into Adjacent Airspace

Cited by 17 publications

References 27 publications

Emergence of 4-D System Fundamental Diagram in Urban Air Mobility Traffic Flow

Emergence of 4-D System Fundamental Diagram in Urban Air Mobility Traffic Flow

Conflict Resolution Strategy Based on Flight Conflict Network Optimal Dominating Set

A Hybrid Approach for Detecting and Resolving Conflicts in Air Traffic Routes

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