轿车三维分离流动特性的研究

本文介绍了使用激光片光技术及激光多普勒测速仪对某型国产轿车尾流的三维分离流的尾迹和速度分布测定的试验研究。本项研究表明，光学流态显示和数字图象技术相结合，可以有效地揭示汽车的尾流结构，诊断阻力来源，本项研究为建立汽车三维分离流动的动态仿真理论模型提供了依据。     

BIM技术在深圳机场三跑道填海工程设计中的应用

针对BIM技术在填海工程设计中的应用,深圳机场三跑道填海工程设计中采用AUTODESK平台,以基于云端的协同平台进行协同设计,将各专业更加紧密地联系在一起,解决了传统设计的沟通、协调难题,且根据勘察资料创建三维地质模型,并采用Civil 3D软件进行基槽和海堤施工图设计,提高设计效率及精度,为BIM技术在水运行业的推广及应用提供借鉴。     

新型混凝土单元块D型软体排结构计算及稳定性分析

针对长江中下游航道整治水下沉排工程中软体排结构的不足,提出一种新型混凝土单元块D型软体排结构,建立悬链线模型,分析排体的受力特点,计算排体的抗倾、抗滑和抗漂浮稳定性,并对比分析排体对地形的适应性。结果表明,新型混凝土单元块D型软体排结构明显提高了水下沉排的安全性和对复杂地形的适应性,为复杂条件下的水下沉排工程提供理论支撑。     

BIM技术在大型集装箱码头工程设计中的应用

上海国际航运中心洋山深水港四期工程是国内首个全自动化集装箱码头,以此为依托,针对BIM技术在集装箱码头工程设计中应用的问题进行总图、水工、机械等相关专业BIM技术应用的研究,将BIM技术与传统二维设计模式相融合,采用欧特克BIM系列软件以及探索者BIM协同平台,得出全自动化集装箱码头BIM总体设计技术路线,重点对BIM协同设计平台的应用流程以及设计相关专业的BIM应用方法进行探讨,为全自动化集装箱码头从传统二维设计向基于BIM技术全生命周期设计应用的转变提供参考。     

Multi-criteria optimization of traffic signals: Mobility,safety, and environment

Two-dimensional multi-objective optimizations have been used for decades for the problems in traffic engineering although only few times so far in the optimization of signal timings. While the other engineering and science disciplines have utilized visualization of 3-dimensional Pareto fronts in the optimization studies, we have not seen many of those concepts applied to traffic signal optimization problems. To bridge the gap in the existing knowledge this study presents a methodology where 3-dimensional Pareto Fronts of signal timings, which are expressed through mobility, (surrogate) safety, and environmental factors, are optimized by use of an evolutionary algorithm. The study uses a segment of 5 signalized intersections in West Valley City, Utah, to test signal timings which provide a balance between mobility, safety and environment. In addition, a set of previous developed signal timing scenarios, including some of the Connected Vehicle technologies such as GLOSA, were conducted to evaluate the quality of the 3-dimensional Pareto front solutions. The results show success of 3-dimensinal Pareto fronts moving towards optimality. The resulting signal timing plans do not show large differences between themselves but all improve on the signal timings from the field, significantly. The commonly used optimization of standard single-objective functions shows robust solutions. The new set of Connected Vehicle technologies also shows promising benefits, especially in the area of reducing inter-vehicular friction. The resulting timing plans from two optimization sets (constrained and unconstrained) show that environmental and safe signal timings coincide but somewhat contradict mobility. Further research is needed to apply similar concepts on a variety of networks and traffic conditions before generalizing findings.     

车务可视化信息系统设计与实现

车务可视化信息系统通过三维模型及虚拟漫游的展现形式,将铁路运行及运营的动态信息进行集成和柔性展示,实现旅客服务信息及运输管理相关数据的整合,通过可视化的展现方式既方便旅客及管理人员,又充分展示铁路信息化建设的成果。     

SS4B电力机车转向架可视化标准作业系统研究

SS_4B型电力机车转向架结构复杂,检修工序繁琐,对作业人员的检修技能培训要求高,针对目前培训方式存在的问题,提出建立转向架可视化标准作业系统,综合利用多媒体技术、数字化建模技术以及虚拟现实技术,构建集三维动画和人机交互功能于一体,信息集中化、培训作业标准化、培训时空自由化、周期短且考核针对性强的可视化培训系统,实现对SS_4B型电力机车转向架系统的内部结构、检修流程及其动态拆装过程的逼真模拟,提升实操培训效率和沉浸式体验,提高检修人员技能水平。     

轨道复合不平顺对无缝线路横向变形的影响分析

轨道复合不平顺会对行车的安全及稳定性产生较大影响,也是影响无缝线路横向变形的一个重要因素。为研究轨道复合不平顺对无缝线路的具体影响,通过构建三维轨道框架非线性有限元模型,采用轨道框架单点(或多点)位置发生横向及竖向位移来模拟复合不平顺状态,通过计算获取节点位移变化规律,进而分析轨道复合不平顺对无缝线路横向变形的影响作用。研究结果表明,轨道的复合不平顺会对无缝线路的横向变形产生显著的影响;当线路出现三角坑等类似病害时,其节点位移变化更为显著,在无缝线路的日常养护维修中应尤为注意。     

Data dependent input control for origin–destination demand estimation using observability analysis

In this paper, we address the observability issue of static O–D estimation based on link counts. Unlike most classic observability analyses that relied only on network topological relationships, our analysis incorporates the actual values of input parameters, thus including network operational relations as well. We first analyze possible mathematical properties of an O–D estimation problem with different data input. We then propose a modeling approach based on mixed-integer program for selecting model input that ensures observability and estimation quality. Through establishing a stronger connection between observability analysis and the corresponding estimation problem, the proposed method aims to improve estimation quality while reducing reliance on erroneous data.     

Validating and improving public transport origin–destination estimation algorithm using smart card fare data

Smart card data are increasingly used for transit network planning, passengers’ behaviour analysis and network demand forecasting. Public transport origin–destination (O–D) estimation is a significant product of processing smart card data. In recent years, various O–D estimation methods using the trip-chaining approach have attracted much attention from both researchers and practitioners. However, the validity of these estimation methods has not been extensively investigated. This is mainly because these datasets usually lack data about passengers’ alighting, as passengers are often required to tap their smart cards only when boarding a public transport service. Thus, this paper has two main objectives. First, the paper reports on the implementation and validation of the existing O–D estimation method using the unique smart card dataset of the South-East Queensland public transport network which includes data on both boarding stops and alighting stops. Second, the paper improves the O–D estimation algorithm and empirically examines these improvements, relying on this unique dataset. The evaluation of the last destination assumption of the trip-chaining method shows a significant negative impact on the matching results of the differences between actual boarding/alighting times and the public transport schedules. The proposed changes to the algorithm improve the average distance between the actual and estimated alighting stops, as this distance is reduced from 806 m using the original algorithm to 530 m after applying the suggested improvements.