交通需求OD估计与预测的现状研究分析

目前，对于静态OD矩阵估计问题已经有很多研究者，对于动态OD前沿的研究工作则非常有限。关于对OD估计和预测的研究可分为封闭网络和开放网络。介绍了研究封闭网络的Bell，Van der Zijpp，Chang and Wu和Chang and Tao等人的方法，以及研究开放网络动态估计的3种方法，即Cascetta、Okutani、Ashok和Ben—Akiva等人的方法。并指出可以将OD估计问题陈述为具有不同误差特性、多个来源的不同类型信息的综合性和一致性的结合体，此联合估测就是经济计量学的混合估计的问题。     

薄壁箱梁剪滞剪切效应自振特性分析

在推导考虑剪力滞、剪切变形双重效应的单元刚度矩阵与等效结点荷载矩阵的基础上[1],进一步推导出考虑双重效应的单元质量矩阵,从而形成完整的薄壁箱梁考虑双重效应的矩阵分析体系,可方便地纳入矩阵位移法程序系统,为常见的薄壁连续梁等复杂结构的剪力滞效应分析提供一种计算手段。利用自编程序ZLBOX对薄壁箱型简支梁和悬臂梁考虑剪力滞、剪切变形双重效应时的自振特性进行了分析,所得结果与ANSYS实体单元计算结果符合良好。计算结果表明,剪力滞、剪切变形双重效应使薄壁箱梁的自振频率降低,剪力滞效应占双重效应的85%以上,双重效应对高阶频率的影响比低阶频率的影响大。     

Estimation of origin‐destination matrices for a multimodal public transit network

This paper presents a procedure for the estimation of origin‐destination (O‐D) matrices for a multimodal public transit network. The system consists of a number of favored public transit modes that are obtained from a modal split process in a traditional four‐step transportation model. The demand of each favored mode is assigned to the multimodal network, which is comprised of a set of connected links of different public transit modes. An entropy maximization procedure is proposed to simultaneously estimate the O‐D demand matrices of all favored modes, which are consistent with target data sets such as the boarding counts and line segment flows that are observed directly in the network. A case study of the Hong Kong multimodal transit network is used to demonstrate the effectiveness of the proposed methodology.     

短波收信天线交换系统的初步设计

根据短波通信业务对收信天线交换的发展需求，简要介绍了短波收信天线交换系统的功能与结构，并对系统的功能模块进行了初步设计。     

基于故障模式、影响及危害度分析(FMECA)的地铁车辆检修工艺优化方法

提出了一种地铁车辆检修工艺优化方法。该方法采用FMECA(故障模式、影响及危害度分析),对地铁车辆运营过程中的故障数据进行分析,并根据分析结果对当前的地铁车辆检修工艺进行优化,以提高检修作业的合理性和效率。以地铁车辆高压供电系统为例,说明了该优化方法在地铁车辆高压供电系统上的实施流程;结合相关标准的规定建立了定量化的地铁车辆设备危害性风险评价矩阵,用以确定故障模式的可接受程度;通过建立可接受程度与该检修项点检修等级的对应关系,最终得到检修工艺的优化方案。     

铁路通信信号电源视频监控技术的应用及分析

结合工程实际,对铁路通信信号电源视频监控系统进行了全面介绍和分析,对工程中存在的问题通过试验分析得出针对性的解决方案,并就铁路电力视频监控技术的发展进行有益的探讨。     

动态OD反推理论中的关键问题研究

针对ITS研究中动态OD矩阵难以获得的问题,回顾动态OD反推理论的发展历程,在此基础上明确了该领域研究中的四个关键问题:状态变量的选择、系统方程的确定、OD量与路段流量的关系和OD矩阵动态特性的体现,在对其进行分析的基础上提出每个关键问题的解决方法,为动态OD反推理论的进一步研究垫定基础。     

柔性桩与土相互作用非线性分析的增量传递矩阵法

对桩侧土采用非线性荷载传递函数,对桩端土采用线性荷载传递函数,同时考虑桩周土所分担的荷载对单桩荷载传递规律的影响,利用增量荷载传递矩阵法及微分方程的近似解法--子域法,推出了刚性承台下柔性桩与地基非线性相互作用的近似解析算式。为了验证该方法的可行性,通过试验将试验结果与有限元结果及该方法所得结果进行了对比,对比表明:该理论解与现场实测值、有限元计算值都非常接近。     

Investigation of tailpipe and evaporative emissions from China IV and Tier 2 passenger vehicles with different gasolines

The limited understanding of vehicular emissions in China, especially evaporative emissions, is one obstacle to establishing tighter standards. To evaluate tailpipe and evaporative emissions, two typical China IV vehicles and one Tier 2 vehicle with an onboard refuelling vapour recovery (ORVR) system were selected and tested. One of the China IV vehicles was fuelled with gasoline, E10 and M15, respectively, to investigate the effect of fuel properties on vehicular emissions. For each vehicle, cold-start tailpipe emission tests were conducted first, followed by an evaporation test. Based on the emission factors and real-world vehicle activity data, the annual tailpipe and evaporative hydrocarbon (HC) emissions of each vehicle were calculated and compared. The results show that E10 and M15 significantly reduced the tailpipe CO and particle number (PN) emissions but seriously aggravated the NOx emissions, especially for M15. The hot soak losses (HSLs) and diurnal breathing losses (DBLs) were slightly impacted by the fuel properties. The annual evaporative emissions with E10 and M15 were higher than that with gasoline. The ORVR system effectively controlled the evaporative emissions, especially for DBLs. Evaporative emissions from the China IV vehicles were 1.1–1.4 times the tailpipe HC emissions. Additionally, the evaporative emission factors of the China IV vehicles were almost 50% lower than the standard (2.0 g/test), whereas their annual evaporative emissions were almost 1.8–2.8 times higher than those from the Tier 2 vehicle. Therefore, controlling evaporative emissions currently remains a great need in China, and the ORVR might be a recommended evaporative control technology.     

Estimation of extreme significant wave heights and the associated uncertainties: A case study using NORA10 hindcast data for the Barents Sea

The reliability of an offshore structure is dependent on its response to the extreme wave climate; therefore, an adequate knowledge of the wave climate at a location is a prerequisite during design as well as in marine operations. This study aims to contribute to the knowledge of the extreme wave climate in the Norwegian Sector of the Barents Sea, using wave hindcast datasets from the Norwegian Reanalysis 10 km (NORA10) database for four locations.We have considered three commonly used methods for the estimation of extreme wave heights, that is, the initial distribution method, the peak over threshold method, and the annual maxima method. The parametric bootstrap concept is considered in the estimation of the epistemic uncertainty related to sample size. The estimated 100-year significant wave heights obtained from the three methods differ, and the degree of variability in the estimates varies, depending on the dataset. The epistemic uncertainty due to sample size is wider when considering the annual maxima method.The estimates obtained from the three methods show the importance of considering different methods and their associated uncertainties when estimating extreme wave values for design. While it is difficult to single out the best method among the three, the estimated values give knowledge of the possible range of the extreme significant wave heights at the locations. Generally, the datasets considered in this study suggest that the wave climate is less harsh further north compared to the southern region of the Barents Sea. The datasets do not suggest any temporal trends in the historical significant wave heights at any of the locations.