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    • 31. 发明授权
    • Methods and systems for managing air traffic
    • 管理空中交通的方法和系统
    • US08606491B2
    • 2013-12-10
    • US13032101
    • 2011-02-22
    • Rajesh Venkat SubbuFeng XueMauricio Castillo-EffenJoel Kenneth KloosterJoachim Karl HochwarthSergio TorresWeiwei Chen
    • Rajesh Venkat SubbuFeng XueMauricio Castillo-EffenJoel Kenneth KloosterJoachim Karl HochwarthSergio TorresWeiwei Chen
    • G08G5/00G08G5/04
    • G08G5/0043G06Q10/047G06Q10/06G06Q50/30
    • Methods and systems suitable for negotiating air traffic trajectory modification requests received from multiple aircraft that each has trajectory parameters. The methods include transmitting from at least a first aircraft a first trajectory modification request to alter the altitude, speed and/or lateral route thereof. A first conflict assessment is then performed to determine if the first trajectory modification request poses a conflict with the altitudes, speeds and lateral routes of other aircraft. If a conflict is not identified, the first trajectory modification request is granted and the first aircraft is notified of the first trajectory modification request being granted. Alternatively, if a conflict is identified, the first trajectory modification request is not granted and the first aircraft is notified thereof. If the first trajectory modification request was not granted, the first trajectory modification request is placed in a queue, which is periodically processed to perform subsequent conflict assessments.
    • 适用于协商从多台飞机接收的空中交通轨迹修改请求的方法和系统,每个航空器具有轨迹参数。 所述方法包括从至少第一飞行器发送第一轨迹修改请求以改变其高度,速度和/或横向路线。 然后执行第一冲突评估以确定第一轨迹修改请求是否与其他飞行器的高度,速度和侧向路线形成冲突。 如果没有识别到​​冲突,则授予第一轨迹修改请求,并且向第一飞机通知被授予的第一轨迹修改请求。 或者,如果确定了冲突,则未授予第一轨迹修改请求,并且通知第一飞行器。 如果未授予第一轨迹修改请求,则将第一轨迹修改请求放置在队列中,该队列被周期性地处理以执行随后的冲突评估。
    • 32. 发明申请
    • METHODS AND SYSTEMS FOR MANAGING AIR TRAFFIC
    • 管理空中交通的方法和系统
    • US20120215435A1
    • 2012-08-23
    • US13032176
    • 2011-02-22
    • Rajesh Venkat SubbuFeng XueMauricio Castillo-EffenJoel Kenneth KloosterJoachim Karl HochwarthSergio TorresWeiwei Chen
    • Rajesh Venkat SubbuFeng XueMauricio Castillo-EffenJoel Kenneth KloosterJoachim Karl HochwarthSergio TorresWeiwei Chen
    • G08G5/00
    • G08G5/0013G08G5/0043G08G5/0082G08G5/02
    • Methods and systems scheduling and negotiating air traffic within an airspace surrounding an airport and scheduled to land at the airport. An air traffic control (ATC) system is used to monitor the altitudes, speeds and lateral routes of aircraft as they enter the airspace. The ATC system generates a scheduled time-of-arrival (STA) for each aircraft at one or more meter fix points associated with the airport, the STA for each aircraft is stored, and data is received or inferred with the ATC system for at least a first of the aircraft, including a minimum fuel-cost speed and predicted trajectory parameters of the first aircraft based on current values of its existing trajectory parameters. Auxiliary data, including earliest and latest estimated time-of-arrival ETAmin and ETAmax at the meter fix point, are generated for the first aircraft using the predicted trajectory parameters. The ATC system determines whether the STA of the first aircraft is in or outside an ETA range bounded by its ETAmin and ETAmax. Instructions are transmitted to the first aircraft to ensure its arrival at the meter fix point at the STA or the ETAmin of the first aircraft, and the STA is updated for each aircraft stored in the queue.
    • 方法和系统安排和谈判机场周围空域内的空中交通,并计划在机场降落。 空中交通管制(ATC)系统用于监控飞机进入空域时的高度,速度和侧向航路。 ATC系统在与机场相关联的一个或多个仪表固定点处为每个飞行器生成预定的到达时间(STA),存储每个飞行器的STA,并且至少与ATC系统接收或推断数据 基于现有轨迹参数的当前值,飞行器中的第一个,包括最低燃料成本速度和第一架飞机的预测轨迹参数。 使用预测的轨迹参数为第一架飞机生成辅助数据,包括最早和最近的估计到达时间ETAmin和仪表固定点的ETAmax。 ATC系统确定第一架飞机的STA是否处于由其ETAmin和ETAmax所限定的ETA范围之内或之外。 指令被发送到第一台飞机,以确保其到达STA的第一台飞机的米座固定点或第一架飞机的ETAmin,并为存储在队列中的每架飞机更新STA。
    • 34. 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。
    • 36. 发明申请
    • METHOD AND SYSTEM FOR ACCOMMODATING DETERIORATION CHARACTERISTICS OF MACHINES
    • 用于接收机器检测特性的方法和系统
    • US20080234994A1
    • 2008-09-25
    • US11689885
    • 2007-03-22
    • Kai Frank GoebelRajesh Venkat SubbuDean Kimball Frederick
    • Kai Frank GoebelRajesh Venkat SubbuDean Kimball Frederick
    • G06F17/00
    • G06F17/5009G06F17/5095G06F2217/10
    • A method for multi-objective deterioration accommodation using predictive modeling is disclosed. The method uses a simulated machine that simulates a deteriorated actual machine, and a simulated controller that simulates an actual controller. A multi-objective process is performed, based on specified control settings for the simulated controller and specified operational scenarios for the simulated machine controlled by the simulated controller, to generate a Pareto frontier-based solution space relating performance of the simulated machine to settings of the simulated controller, including adjustment to the operational scenarios to represent a deteriorated condition of the simulated machine. Control settings of the actual controller are adjusted, represented by the simulated controller, for controlling the actual machine, represented by the simulated machine, in response to a deteriorated condition of the actual machine, based on the Pareto frontier-based solution space, to maximize desirable operational conditions and minimize undesirable operational conditions while operating the actual machine in a region of the solution space defined by the Pareto frontier.
    • 公开了一种使用预测建模的多目标恶化调节方法。 该方法使用模拟恶化的实际机器的模拟机,以及模拟实际控制器的仿真控制器。 基于模拟控制器的指定控制设置和由模拟控制器控制的模拟机器的指定操作场景,执行多目标过程,以生成将仿真机器的性能与模拟机器的性能相关联的基于帕累托前沿的解空间 模拟控制器,包括对操作场景的调整,以表示模拟机器的劣化状况。 由模拟控制器表示的实际控制器的控制设置根据基于帕累托前沿的解决方案空间,根据实际机器的劣化情况,对模拟机器所代表的实际机器进行调整,以最大化 期望的操作条件,并且在由帕累托边界限定的解空间的区域中操作实际机器时最小化不期望的操作条件。
    • 37. 发明申请
    • METHOD AND SYSTEM FOR FAULT ACCOMMODATION OF MACHINES
    • 机器故障定位方法与系统
    • US20080229754A1
    • 2008-09-25
    • US11689874
    • 2007-03-22
    • Kai Frank GoebelRajesh Venkat SubbuRandal Thomas RauschDean Kimball Frederick
    • Kai Frank GoebelRajesh Venkat SubbuRandal Thomas RauschDean Kimball Frederick
    • F02C1/00
    • F02C9/00F05D2270/44F05D2270/71Y02T50/671
    • A method for multi-objective fault accommodation using predictive modeling is disclosed. The method includes using a simulated machine that simulates a faulted actual machine, and using a simulated controller that simulates an actual controller. A multi-objective optimization process is performed, based on specified control settings for the simulated controller and specified operational scenarios for the simulated machine controlled by the simulated controller, to generate a Pareto frontier-based solution space relating performance of the simulated machine to settings of the simulated controller, including adjustment to the operational scenarios to represent a fault condition of the simulated machine. Control settings of the actual controller are adjusted, represented by the simulated controller, for controlling the actual machine, represented by the simulated machine, in response to a fault condition of the actual machine, based on the Pareto frontier-based solution space, to maximize desirable operational conditions and minimize undesirable operational conditions while operating the actual machine in a region of the solution space defined by the Pareto frontier.
    • 公开了一种使用预测建模的多目标故障调节方法。 该方法包括使用模拟故障实际机器的仿真机,并使用模拟实际控制器的仿真控制器。 基于模拟控制器的指定控制设置和由模拟控制器控制的模拟机器的指定操作场景,执行多目标优化过程,生成与仿真机器的性能相关的基于Pareto前沿的解空间, 模拟控制器,包括对操作场景的调整,以表示模拟机器的故障状态。 实际控制器的控制设置由模拟控制器进行调整,用于根据基于Pareto前沿解决方案空间的实际机器的故障情况来控制由仿真机器表示的实际机器,以最大化 期望的操作条件,并且在由帕累托边界限定的解空间的区域中操作实际机器时最小化不期望的操作条件。
    • 38. 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)。