浅析大型铁路客运站交通规划理念

以重庆北站北场交通规划为例,分析和判断了铁路客流对象、车站客流组织、旅客立体换乘、车站功能布局和车站管理模式5个方面的发展趋势;提出了现代铁路客运站在综合交通枢纽、站前集散广场、机动车进出通道、交通设施布局、客流组织方面的规划设计理念。     

信息化条件下的防空武器装备运输线路优化算法

弹药保障,是武器系统战斗力的重要标志。着眼适应未来信息化战争运输保障的特点和要求,应用线性规划和多端网络最大流问题,将运输保障问题抽象为运筹中的线路问题,建立模型,以提高军交运输保障能力。     

强跟踪滤波在动基座传递对准中的应用

在保证捷联惯性导航系统（SINS）动基座传递对准具有一定精度的前提下,为了缩短传递对准的时间,对强跟踪滤波（STF）在动基座传递对准中的应用进行了研究。通过在一步预测方差P（k＋1｜k）中引入渐消因子λ（k＋1）,以此减弱老数据对当前滤波值的影响。同时,对渐消因子λ（k＋1）的计算做出修正,使得状态估计更加平滑。最后,在匀速拐弯的机动方式下进行了仿真,结果表明强跟踪滤波在对准精度与速度上比Kalman滤波有更好的表现。     

基于FCE对近岸岛屿进攻战斗炮兵部署优化研究

战斗部署的内容是决心方案的主体部分,优化战斗部署方案,可提高作战指挥决策的科学性。论文根据战斗部署的定义和战斗部署的要求,建立了近岸岛屿进攻战斗炮兵部署的评价指标体系,并采用层次分析法确定其权重,最后使用模糊综合评价法对战斗部署方案进行评估。     

几何参数对组合式推进器流噪声水平的影响

在组合式推进器相同水动力性能的设计前提下,采用数值模拟的方法针对不同设计方案流噪声水平进行了计算。宽带噪声采用Proudman声功率模型及Lilley提出的AALS模型计算,线谱噪声采用径向脉动力幅值衡量,比较了不同方案不同几何参数下的噪声,并在此基础上总结出主要几何参数与噪声水平之间的关系。本文研究成果对进一步进行组合式推进器声学设计具有重要指导意义。     

船舶推进轴系纵振计算方法及影响因素分析

根据船舶推进轴系纵向振动的运动微分方程,推导了组成推进轴系的刚性均质圆盘、推力轴承以及轴段单元的传递矩阵,给出了利用传递矩阵求解推进轴系纵向振动固有频率和固有振型的方法.为进一步分析推进轴系正常运行时各轴段的纵向振幅和交变轴向力,对刚性均质圆盘、推力轴承以及轴段单元的传递矩阵进行了扩展,进而给出了基于扩展传递矩阵的推进...     

深水爆破挤淤装药器的研发与应用

爆破挤淤施工药包的精确定位以及装药效率是确保工程质量和施工进度的关键,这都取决于装药器。介绍了沥港渔港工程概况和特点。详细介绍了装药器的研制和装药器施工工艺。改进后的装药器在施工中取得良好的效果。     

Approximate network loading and dual-time-scale dynamic user equilibrium

In this paper we present a dual-time-scale formulation of dynamic user equilibrium (DUE) with demand evolution. Our formulation belongs to the problem class that Pang and Stewart (2008) refer to as differential variational inequalities. It combines the within-day time scale for which route and departure time choices fluctuate in continuous time with the day-to-day time scale for which demand evolves in discrete time steps. Our formulation is consistent with the often told story that drivers adjust their travel demands at the end of every day based on their congestion experience during one or more previous days. We show that analysis of the within-day assignment model is tremendously simplified by expressing dynamic user equilibrium as a differential variational inequality. We also show there is a class of day-to-day demand growth models that allow the dual-time-scale formulation to be decomposed by time-stepping to yield a sequence of continuous time, single-day, dynamic user equilibrium problems. To solve the single-day DUE problems arising during time-stepping, it is necessary to repeatedly solve a dynamic network loading problem. We observe that the network loading phase of DUE computation generally constitutes a differential algebraic equation (DAE) system, and we show that the DAE system for network loading based on the link delay model (LDM) of Friesz et al. (1993) may be approximated by a system of ordinary differential equations (ODEs). That system of ODEs, as we demonstrate, may be efficiently solved using traditional numerical methods for such problems. To compute an actual dynamic user equilibrium, we introduce a continuous time fixed-point algorithm and prove its convergence for effective path delay operators that allow a limited type of nonmonotone path delay. We show that our DUE algorithm is compatible with network loading based on the LDM and the cell transmission model (CTM) due to Daganzo (1995). We provide a numerical example based on the much studied Sioux Falls network.     

基于出行方式链的城市轨道交通客流分析方法

传统"四阶段"法预测流程无法准确预测与轨道交通接驳的交通方式及换乘客流.借鉴基于活动的交通需求模型中利用出行链来解释人的出行行为的方法,提出了基于出行方式链的轨道交通客流分析方法.使用三层的Nested-Logit模型来模拟出行者选择轨道交通为主要出行方式接驳其他交通方式和预测各种方式的客流,建立了轨道交通出行方式链模...     

A shockwave profile model for traffic flow on congested urban arterials

In this paper a new traffic flow model for congested arterial networks, named shockwave profile model (SPM), is presented. Taking advantage of the fact that traffic states within a congested link can be simplified as free-flow, saturated, and jammed conditions, SPM simulates traffic dynamics by analytically deriving the trajectories of four major shockwaves: queuing, discharge, departure, and compression waves. Unlike conventional macroscopic models, in which space is often discretized into small cells for numerical solutions, SPM treats each homogeneous road segment with constant capacity as a section; and the queuing dynamics within each section are described by tracing the shockwave fronts. SPM is particularly suitable for simulating traffic flow on congested signalized arterials especially with queue spillover problems, where the steady-state periodic pattern of queue build-up and dissipation process may break down. Depending on when and where spillover occurs along a signalized arterial, a large number of queuing patterns may be possible. Therefore it becomes difficult to apply the conventional approach directly to track shockwave fronts. To overcome this difficulty, a novel approach is proposed as part of the SPM, in which queue spillover is treated as either extending a red phase or creating new smaller cycles, so that the analytical solutions for tracing the shockwave fronts can be easily applied. Since only the essential features of arterial traffic flow, i.e., queue build-up and dissipation, are considered, SPM significantly reduces the computational load and improves the numerical efficiency. We further validated SPM using real-world traffic signal data collected from a major arterial in the Twin Cities. The results clearly demonstrate the effectiveness and accuracy of the model. We expect that in the future this model can be applied in a number of real-time applications such as arterial performance prediction and signal optimization.