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Multiobjective Optimization Model for Collaborative En-Route and Slot Allocation

机译：协同航路和时隙分配的多目标优化模型

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摘要

To allocate the en-routes and slots resource to the flights with collaborative decision-making, a multiobjective 0-1 integer programming model was proposed. According to different demands from air traffic control departments, airlines, and passengers, efficiency, equity, and effectiveness principles of collaborative decision-making were considered. With the aim to minimize the total flight delay costs, the total number of turning points, and average delay time of passengers, the effectiveness constraints were achieved. The algorithm was designed to solve the model on the basis of the objective method, and Lingo11 and Matlab R2007b were applied in numerical tests. To test how well the model works in real world, a numerical test was performed based on the simulated data of a civil en-route. Test results show that, compared with the traditional strategy of first come first served, the model gains better effect. The superiority of the model was verified.
机译：为了通过协同决策为航班分配航路和时段资源，提出了一种多目标0-1整数规划模型。根据空中交通管制部门，航空公司和乘客的不同要求，考虑了协同决策的效率，公平性和有效性原则。为了使总的航班延误成本，转折点总数和乘客的平均延误时间最小化，达到了效果约束。设计了基于目标方法的算法来求解模型，并将Lingo11和Matlab R2007b应用于数值测试。为了测试该模型在现实世界中的运行状况，基于民用航路的模拟数据进行了数值测试。测试结果表明，与传统的先到先得策略相比，该模型效果更好。验证了模型的优越性。

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  • 来源
    《Mathematical Problems in Engineering》 |2018年第2期|5686281.1-5686281.7|共7页
  • 作者

    Yang Shangwen; Zhang Jingting; Chen Ping; Yan Yongjie;

  • 作者单位

    Nanjing Res Inst Elect Engn, State Key Lab Air Traff Management Syst & Technol, 1 Yong Zhi Rd, Nanjing 210014, Jiangsu, Peoples R China;

    Nanjing Res Inst Elect Engn, State Key Lab Air Traff Management Syst & Technol, 1 Yong Zhi Rd, Nanjing 210014, Jiangsu, Peoples R China;

    Nanjing Res Inst Elect Engn, State Key Lab Air Traff Management Syst & Technol, 1 Yong Zhi Rd, Nanjing 210014, Jiangsu, Peoples R China;

    Nanjing Res Inst Elect Engn, State Key Lab Air Traff Management Syst & Technol, 1 Yong Zhi Rd, Nanjing 210014, Jiangsu, Peoples R China;

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