Collision risk-capacity tradeoff analysis of an en-route corridor model

Ye, Bojia; Hu, Minghua; Shortle, John

doi:10.1016/j.cja.2013.12.007

Cited by 14 publications

(11 citation statements)

References 11 publications

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“…To perform multi-objective evaluation for airborne self-separation procedures in flow corridors, simulation modeling is the best method which can capture various aircraft behaviors. An agent-based approach was proposed to develop a flow corridor simulation model with C++ language [16,17], in which each aircraft in the model is represented by an agent with both operational performance states and self-separation states. In this model, the flow corridor is designed with two closely parallel-lane structures located at the altitude of 35,000 ft. Aircrafts are assumed to fly in the same direction within different lanes in the flow corridor and will self-separate with others in the same lane by adjusting velocity and/or switching lanes.…”

Section: Simulation Model Of Self-separation In Flow Corridorsmentioning

confidence: 99%

Multi-Objective Evaluation of Airborne Self-Separation Procedure in Flow Corridors Based on TOPSIS and Entropy

Yang

Wan

et al. 2019

Sustainability

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This paper proposes a simulation-based framework for assessing airborne self-separation procedures in flow corridors with consideration of different performance metrics, including air traffic operations, corridor capacity, safety, and environmental impacts. Firstly, the airborne self-separation concept in flow corridors is introduced, followed by an agent-based flow corridor simulation model. Then, data were collected to initialize a parallel-lane flow corridor model connecting A461 upper air route from Beijing to Guangzhou in China which can also simulate aircraft self-separating in the flow corridor. The total control delay, flow corridor throughput, breakout rate, and the CO2 emissions of traffic flow were considered as the impact measurements, and the TOPSIS and entropy method was used to rank the performances of different self-separation procedures. We found that combining multiple objectives into one, the optimum scheme can be obtained to guide the design of self-separation procedures for flow corridors. The research results can be used by airspace managers to dynamically develop appropriate operational procedures and rules for flow corridors given different operational conditions and constraints. Also, the framework proposed in the research may be used to evaluate the design of airspace structure with consideration of multiple objectives.

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Section: Simulation Model Of Self-separation In Flow Corridorsmentioning

confidence: 99%

Multi-Objective Evaluation of Airborne Self-Separation Procedure in Flow Corridors Based on TOPSIS and Entropy

Yang

Wan

et al. 2019

Sustainability

Self Cite

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“…1,2 How to reduce the air congestion and flight delay is always the research highlight for researchers from air traffic management. 3 In general, this problem is solved by strategically adjusting the departure time and flight routes of the involved flights to balance the air traffic flow among different sectors. For instance, when a sector is predicted to undergo congestion, the involved flights are delayed at the departure airports or their routes are partly changed in order to avoid aggravating the congestion of this sector.…”

Section: Introductionmentioning

confidence: 99%

Strategic flight assignment approach based on multi-objective parallel evolution algorithm with dynamic migration interval

Zhang

Guan

Zhu

et al. 2015

Chinese Journal of Aeronautics

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The continuous growth of air traffic has led to acute airspace congestion and severe delays, which threatens operation safety and cause enormous economic loss. Flight assignment is an economical and effective strategic plan to reduce the flight delay and airspace congestion by reasonably regulating the air traffic flow of China. However, it is a large-scale combinatorial optimization problem which is difficult to solve. In order to improve the quality of solutions, an effective multi-objective parallel evolution algorithm (MPEA) framework with dynamic migration interval strategy is presented in this work. Firstly, multiple evolution populations are constructed to solve the problem simultaneously to enhance the optimization capability. Then a new strategy is proposed to dynamically change the migration interval among different evolution populations to improve the efficiency of the cooperation of populations. Finally, the cooperative co-evolution (CC) algorithm combined with non-dominated sorting genetic algorithm II (NSGA-II) is introduced for each population. Empirical studies using the real air traffic data of the Chinese air route network and daily flight plans show that our method outperforms the existing approaches, multi-objective genetic algorithm (MOGA), multi-objective evolutionary algorithm based on decomposition (MOEA/D), CC-based multi-objective algorithm (CCMA) as well as other two MPEAs with different migration interval strategies.

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“…Until recently, limited literature has been available on aircraft operations and evaluation in the corridor. Ye et al (19) established a discrete-event model to simulate self-separation movements of aircraft in flow corridors. Blom and Bakker (20) evaluated the safety of advanced self-separation under very high en route traffic demand.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity analysis of potential capacity and safety of flow corridor to self-separation parameters

Shortle

Ochieng³

et al. 2018

Aeronaut. j.

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A flow corridor is a new class of trajectory-based airspace that encloses groups of flights which fly along the same path in one direction and accept responsibility for separation from each other. A well-designed corridor could reduce the airspace complexity, decrease the workload of air traffic controllers and increase the airspace capacity. This paper analyses the impact of different self-separation parameters on capacity and conflicts of the flow corridor. Both the quantitative impact and interaction effects of pairs of parameters are evaluated using the combined discrete-continuous model and Monte Carlo simulation method. The simulation results show that although the initial separation is the dominating factor, the interactions between initial separation and separation buffer, minimum separation, extra switch buffer, extra threshold buffer and velocity difference threshold also have some significant impacts on the capacity and conflicts for the flow corridor.

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Collision risk-capacity tradeoff analysis of an en-route corridor model

Cited by 14 publications

References 11 publications

Multi-Objective Evaluation of Airborne Self-Separation Procedure in Flow Corridors Based on TOPSIS and Entropy

Multi-Objective Evaluation of Airborne Self-Separation Procedure in Flow Corridors Based on TOPSIS and Entropy

Strategic flight assignment approach based on multi-objective parallel evolution algorithm with dynamic migration interval

Sensitivity analysis of potential capacity and safety of flow corridor to self-separation parameters

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