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| 1 | An evolutionary computational framework for capacity-safety trade-off in an air transportation network显示文摘Airspace safety and airport capacity are two key challenges to sustain the growth in Air Transportation. In this paper, we model the Air Transportation Network as two sub-networks of airspace and airports, such that the safety and capacity of the overall Air Transportation network emerge from the interaction between the two. We propose a safety-capacity trade-off approach,using a computational framework, where the two networks can inter-act and the trade-off between capacity and safety in an Air Transport Network can be established. The framework comprise of an evolutionary computation based air traffic scenario generation using a flow capacity estimation module(for capacity), Collision risk estimation module(for safety) and an air traffic simulation module(for evaluation). The proposed methodology to evolve air traffic scenarios such that it minimizes collision risk for given capacity estimation was tested on two different air transport network topologies(random and small-world) with the same number of airports. Experimental results indicate that though airspace collision risk increases almost linearly with the increasing flow(flow intensity) in the corresponding airport network, the critical flow depend on the underlying network configuration. It was also found that, in general, the capacity upper bound depends not only on the connectivity among airports and their individual performances but also the configuration of waypoints and mid-air interactions among conflicts. Results also show that airport network can accommodate more traffic in terms of capacity but the corresponding airspace network cannot accommodate the resulting traffic flow due to the bounds on collision risk. | Md.Murad HOSSAIN Sameer ALAM Daniel DELAHAYE | 2019 | Chinese Journal of Aeronautics2019，32，4： | 5 |
| 2 | 飞行流量变化下的动态扇区划分研究显示文摘为了解决当前扇区动态配置效率低下的问题,提出了飞行流量变化下的扇区动态划分方法。分析非决定性因素影响下飞行流量服从的不确定分布,通过建立空域有限元拓扑网络和量化管制员负荷,以均衡监视负荷和减少协作负荷为目标,应用结合二进制和反向学习的高级烟花算法,最终生成了最优扇区划分结果。仿真实例表明,该方法在满足时效性的同时加快了收敛速度,提高了管制效率,适用于实际扇区的优化调控。 | 张文倩 王瑛 李超 严伟 | 2019 | 火力与指挥控制2019，44，1： | 4 |
| 3 | 管制扇区划设研究综述显示文摘管制扇区是空中交通管制服务的基础单元,也是空域的重要组成部分。对管制扇区划设进行优化能够在保证安全的前提下均衡管制负荷、提升管制运行效率、增大空域容量,从而提高空域资源规划与配置的合理性。系统地梳理了当前主要研究成果,对管制扇区划设问题进行了概述。从理论模型的角度阐述了扇区划设的优化目标和约束条件;从方法论的角度总结了扇区划设常用的方法。从现有研究的不足出发,展望了管制扇区划设的发展趋势,并提出未来的重点研究方向。 | 徐灿 田勇 牛科新 巩文健 李桂芳 | 2022 | 航空计算技术2022，52，1： | 1 |
| 4 | Approach for uncertain multi-objective programming problems with correlated objective functions under C_(EV) criterion显示文摘An uncertain multi-objective programming problem is a special type of mathematical multi-objective programming involving uncertain variables. This type of problem is important because there are several uncertain variables in real-world problems.Therefore, research on the uncertain multi-objective programming problem is highly relevant, particularly those problems whose objective functions are correlated. In this paper, an approach that solves an uncertain multi-objective programming problem under the expected-variance value criterion is proposed. First, we define the basic framework of the approach and review concepts such as a Pareto efficient solution and expected-variance value criterion using an order relation between various uncertain variables.Second, the uncertain multi-objective problem is converted into an uncertain single-objective programming problem via a linear weighted method or ideal point method. Then the problem is transformed into a deterministic single objective programming problem under the expected-variance value criterion. Third, four lemmas and two theorems are proved to illustrate that the optimal solution of the deterministic single-objective programming problem is an efficient solution to the original uncertainty problem. Finally, two numerical examples are presented to validate the effectiveness of the proposed approach. | MENG Xiangfei WANG Ying LI Chao WANG Xiaoyang LYU Maolong | 2018 | Journal of Systems Engineering and Electronics2018，29，6： | 1 |
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