航线收益管理的边际分析方法

 本文首先综述了航线运输收益管理中两票价等级的最优运营方法的历史与现状,指出了各个经典公式的限制条件和公式推导的不严密性。然后,利用边际分析方法详细推导了一个新的最优座位安排的通用公式,对该领域的传统公式作了重要更正。最后,通过实例分析、计算并与传统公式相比,表明新公式在理论上较为完善,在工程上也实用、简便。     

基于效用价值驱动的旅客出行动力学研究与建模

为了探究交通体系中旅客出行行为的特征与机理,以某机场离港旅客的陆侧出行数据为研究对象,对旅客出行模式进行了统计。分析发现,旅客聚集行为具有强烈的阵发性,不同出行维度旅客群体的聚集时间间隔分布具有幂律特征,且幂指数和阵发性强度呈正相关关系。同时,研究认为旅客出行换乘决策是综合时间、费用、便捷舒适度、突发情况等多因素的期望实现,是一种基于效用价值驱动的人类行为。基于此构建了效用价值驱动模式下的旅客出行行为动力学模型,可输出幂指数为参数可调的幂律分布,且仿真输出和实证数据分析结果相吻合。      

飞行器管理系统需求

飞行器管理系统(VMS)将飞行、推进控制与相关的公管系统综合.飞行器管理系统的概念为性能改善带来了巨大的好处,同时对可靠性、维修性和保障性有重大改善.未来高性能的飞机将具有多操纵面/效应器以保证机动性,利用飞行/推进综合控制实现性能收益.随着更多系统的参与,综合设计的难度会增加.为确保VMS的实际应用,需要明确其计算和...     

具优先权下航线收益管理问题的边际分析方法

采用边际分析方法,研究、分析了这样一类航线收益管理问题:两票价等级座位数的最优划分,低等级座位的机票具有优先权。并得出在相应条件下的航运旅客总收入函数,在此基础上,推导出了一个以部分条,牛期望值和逆向累积概率分布作为表达式的最优划分公式,并与传统公式及文献[1]所得结果进行了比较分析。证实了新公式的有效性。     

基于博弈均衡分析的电子战战法

用定量分析的方法开发电子战战法是海军战役规划中必须解决的重要问题.借助仿真和博弈分析的混合方法,在博弈效用函数计算的基础上,构建基于识别真、假目标以及火力命中目标概率的二人非零和(TPNZS)非合作博弈模型来开发电子战战法,对一个典型的舰载导弹防空系统的初步研究表明:电子进攻与电子防御的战法分别为π*=(0,π*2,1-π*2)=(0.0000,0.5890,0.4110)和Δ*=(0.0000,0.0000,Δ*3)=(0.0000,0.0000,1.0000).     

Spacecraft Design-for-Demise implementation strategy & decision-making methodology for low earth orbit missions

Space missions designed to completely ablate upon an uncontrolled Earth atmosphere reentry are likely to be simpler and cheaper than those designed to execute controlled reentry. This is because mission risk (unavailability) stemming from controlled reentry subsystem failure(s) is essentially eliminated. NASA has not customarily implemented Design-for-Demise meticulously. NASA has rather approached Design-for-Demise in an ad hoc manner that fails to entrench Design-for-Demise as a mission design driver. Thus, enormous demisability challenges at later formulation stages of missions aspired to be demisable are evident due to these perpetuated oversights in entrenching Design-for-Demise practices. The investigators hence propose a strategy for a consistent integration of Design-for-Demise practices in all phases of a space mission lifecycle. Secondly, an all-inclusive risk-informed, decision-making methodology referred to as Analytic Deliberative Process is proposed. This criterion facilitates in making a choice between an uncontrolled reentry demisable or controlled reentry. The authors finally conceive and synthesize Objectives Hierarchy, Attributes, and Quantitative Performance Measures of the Analytical Deliberative Process for a Design-for-Demise risk-informed decision-making process.     

运输决策模型对中枢航线网效益的影响

介绍了旅客／货主运输决策模型，并根据有关方法做出旅客／货主运输决策模型。然后通过将运输决策模型应用于中枢航线网络的USAPHMP模型，得到旅客／货主运输决策对中枢航线网络效益的影响因素。列举了中国民航某航空公司的实例。     

The Marginal Rao-Blackwellized Particle Filter for Mixed Linear/Nonlinear State Space Models

In this paper, the marginal Rao-Blackwellized particle filter （MRBPF）, which fuses the Rao-Blackwellized particle filter （RBPF） algorithm and the marginal particle filter （MPF） algorithm, is presented. The state space is divided into linear and non-linear parts, which can be estimated separately by the MPF and the optional Kalman filter. Through simulation in the terrain aided navigation （TAN） domain, it is demonstrated that, compared with the RBPF, the root mean square errors （RMSE） and the error variance of the nonlinear state estimations by the proposed MRBPF are respectively reduced by 29% and 96%, while the unique particle count is increased by 80%. It is also found that the MRBPF has better convergence properties, and analysis has shown that the existing RBPF is nothing more than a special case of the MRBPF.     

军用飞机飞行器管理系统的功能结构研究

现代战争中,军用飞机不仅需要各系统正常运行,而且必须进行广泛的信息交互,保证有效完成作战任务。面对日益繁多的信息数据和复杂的设备操控,飞行员难以承担如此繁重的管理和控制任务,出现了飞行器管理系统。本文介绍了飞行器管理系统的发展背景,通过说明战术（任务）飞行管理系统的特点,阐释了公用系统与航电系统综合发展的必然趋势,根据...     

UMR: A utility-maximizing routing algorithm for delay-sensitive service in LEO satellite networks

This paper develops a routing algorithm for delay-sensitive packet transmission in a low earth orbit multi-hop satellite network consists of micro-satellites. The micro-satellite low earth orbit(MS-LEO) network endures unstable link connection and frequent link congestion due to the uneven user distribution and the link capacity variations. The proposed routing algorithm,referred to as the utility maximizing routing(UMR) algorithm, improve the network utility of the MS-LEO network for carrying flows with strict end-to-end delay bound requirement. In UMR, first, a link state parameter is defined to capture the link reliability on continuing to keep the end-to-end delay into constraint; then, on the basis of this parameter, a routing metric is formulated and a routing scheme is designed for balancing the reliability in delay bound guarantee among paths and building a path maximizing the network utility expectation. While the UMR algorithm has many advantages, it may result in a higher blocking rate of new calls. This phenomenon is discussed and a weight factor is introduced into UMR to provide a flexible performance option for network operator. A set of simulations are conducted to verify the good performance of UMR, in terms of balancing the traffic distribution on inter-satellite links, reducing the flow interruption rate,and improving the network utility.