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    • 1. 发明申请
    • MULTI OBJECTIVE NATIONAL AIRSPACE COLLABORATIVE OPTIMIZATION
    • 多目标国家空域协调优化
    • US20090112645A1
    • 2009-04-30
    • US11924468
    • 2007-10-25
    • Pratik D. JhaRajesh Venkat SubbuJohn Michael LizziNaresh IyerLiviu Nedelescu
    • Pratik D. JhaRajesh Venkat SubbuJohn Michael LizziNaresh IyerLiviu Nedelescu
    • G06Q10/00
    • G06Q10/04G06Q10/06G06Q10/0631G06Q10/10G06Q50/30
    • Systems and methods for planning and optimizing air traffic flow within an airspace are provided. In one embodiment, a system (200) includes: (1) a stakeholder objective evaluation module (212) receiving stakeholder preferences from stakeholders having an interest in flight routing within the airspace during an operational planning period and stakeholder metrics as feedback input and outputting strategic and flight route settings for the airspace based on the stakeholder preferences and stakeholder metrics; (2) a strategic optimization module (204) receiving the strategic settings, creating an initial airspace state, and generating an updated airspace state using the strategic settings; (3) a route optimization module (202) receiving the flight route settings and selecting preferred routes for flights during the operational planning period using the route settings; and (4) a simulation module (206) receiving simulation settings including the airspace state and the preferred routes, simulating flights during the operational planning period, and outputting the stakeholder metrics for feed-back.
    • 提供了规划和优化空域内空中交通流量的系统和方法。 在一个实施例中,系统(200)包括:(1)利益相关者客观评价模块(212),在运营计划期间,利益相关者指标作为反馈输入并输出战略 并根据利益相关者的偏好和利益相关方的指标,为空域设置飞行路线; (2)接收战略设置的战略优化模块(204),创建初始空域状态,以及使用战略设置生成更新的空域状态; (3)路线优化模块(202),其使用所述路线设置接收所述飞行路线设置并且在所述运营规划期间选择所述航班的优选路线; 以及(4)模拟模块(206),其接收包括空域状态和优选路线的模拟设置,在操作规划期间模拟飞行,以及输出利益相关者度量以进行反馈。
    • 3. 发明申请
    • MULTI OBJECTIVE NATIONAL AIRSPACE FLIGHT PATH OPTIMIZATION
    • 多目标国家空中飞行路径优化
    • US20080201183A1
    • 2008-08-21
    • US11924435
    • 2007-10-25
    • Pratik D. JhaAlexander SuchkovRajesh Venkat SubbuJohn Michael LizziNaresh Iyer
    • Pratik D. JhaAlexander SuchkovRajesh Venkat SubbuJohn Michael LizziNaresh Iyer
    • G06F17/00
    • G08G5/0043G06Q10/063G06Q10/06316
    • Systems and methods for optimizing a plurality of competing portfolios of logistical alternatives are disclosed. In one embodiment, where the competing portfolios of logistical alternatives are competing portfolios of flight paths, a method (1100) for optimizing a plurality of competing portfolios of logistical alternatives includes receiving (1102) competing flight path portfolios from one or more flight operation centers. Dominance criteria are applied (1104) to select a subset of the portfolios from the plurality of competing portfolios for further consideration. Multi-objective genetic optimization is applied (1106) to the subset of portfolios to identify an optimal portfolio among the plurality of competing portfolios of logistical alternatives. Where the method (1100) is undertaken by executing computer program code on at least one computer processor, information identifying the logistical alternatives included in the optimal portfolio may be output (1108) on an output device in communication with the computer processor.
    • 公开了用于优化多个竞争的后勤备选组合的系统和方法。 在一个实施例中,在物流替代品的竞争组合是竞争的飞行路径组合的情况下,用于优化多个竞争的后勤备选组合的方法(1100)包括从一个或多个飞行运行中心接收(1102)竞争的飞行路径组合。 应用优势标准(1104)从多个竞争投资组合中选择投资组合的一部分进行进一步考虑。 多目标遗传优化(1106)应用于投资组合的子集,以确定多个相互竞争的后勤备选组合中的最佳投资组合。 在通过在至少一个计算机处理器上执行计算机程序代码来执行方法(1100)的情况下,可以在与计算机处理器通信的输出设备上输出识别最佳投资组合中包括的物流备选方案的信息(1108)。