权扰动的影响度量矩阵及其矩阵分析

对于加权线性回归模型,我们考虑权扰动的影响度量问题,给出权扰动的影响度量矩阵,利用迹、谱范数为工具,得出一些结论.     

三维空间路线连续性衰退对公路安全性影响分析

为深入分析公路三维空间线形连续性衰退对事故频数的影响,采集广东省内3条高等级公路243 km道路设计资料,共1 768条有效事故数据,利用Tobit回归模型分析三维空间路线连续性衰退对公路安全性的影响.应用微分几何空间的基本理论,提出公路线形连续性衰退表征参数,利用Tobit回归模型对数据样本中单元内总曲率差(TCD)...     

会话中话语标记语Yes的语用功能分析

话语标记语(discourse marker)是话语交际过程中的一种明示导向标记,对话语的生成和理解都起着至关重要的作用.Sperber和Wilson提出的关联理论为探讨语言形式与语用理解之间的关系提供了一个很好的理论框架,本文依据关联理论的框架,利用收集的口语语料,分析和归纳了话语标记语Yes在会话中的语用功能,以帮助人们更好地理解和生成话语.     

地铁地下空间的功能与商业空间开发

地铁的地下空间功能多种多样,编制地铁地下空间规划必须关注地铁地下空间综合功能.在地铁地下商业空间的开发中,确定商业开发量应建立在一定分析的基础上,才能为地铁站点地下空间的设计和开发利用提供依据.以成都地铁1号线南段地下空间的开发规划为例,着重论述了地铁地下空间的功能与商业开发.     

Assessment of factors associated with travel time reliability and prediction: an empirical analysis using probabilistic reasoning approach

Significant efforts have been made in modeling a travel time distribution and establishing measures of travel time reliability (TTR). However, the literature on evaluating the factors affecting TTR is not well established. Accordingly, this paper presents an empirical analysis to determine potential factors that are associated with TTR. This study mainly applies the Bayesian Networks model to assess the probabilistic association between road geometry, traffic data, and TTR. The results from this model reveal that land use characteristics, intersection factors, and posted speed limits are directly associated with TTR. Evaluating the strength of the association between TTR and the directly related variables, the log odds ratio analysis indicates that the land use factor has the highest impact (0.83) followed by the intersection factor (0.57). The findings from this study can provide valuable resources to planners and traffic operators in their decision-making to improve TTR with quantitative evidence.     

小型潜器纵向运动阻力试验研究

确定潜器纵向运动阻力试验方案,通过改变速度的不同水平来测试对应阻力。然后设计测试装置、卷扬机构、单片机的模块结构和主要功能,编写试验程序。用模拟潜器进行试验,获得大量数据,用最小二乘原理进行回归分析,得到回归方程(经验公式)。经过显著性检验、经验类比和方差计算,验证回归方程具有很高的可依赖性,从而证明本文设计的潜器纵向运动阻力试验的试验方法及试验装置技术可靠,具有实际应用价值。     

轨道交通与城市协同发展的空间差异性分析：以北京市为例

为识别轨道交通与城市协同发展程度的空间差异性,以及不同空间范围内城市发展水平对轨道交通客流影响的差异性,引入描述空间集聚特征的莫兰指数Moran's I 建立轨道站点周边城市发展水平评价方法,将轨道站点周边城市发展水平和站点客流空间集聚分布特征作为轨道交通与城市发展协同程度判断标准,划定若干研究区域,利用地理加权回归GWR 模型研究两者空间相关性和城市发展因素对轨道交通客流的影响. 实证研究表明：轨道站点周边城市发展水平与站点客流协同程度较高的区域,城市发展水平对站点客流影响更大;将城市发展因素对站点客流影响程度进行排序,密度高于交通便捷程度、功能多样化程度和发展紧凑度.     

内蒙古道路货运与现代物流业的融合

通过对内蒙古道路货运发展的现状分析,找出当前内蒙古道路货运业存在的问题,针对问题提出传统道路货运与现代物流融合的思路及具体措施。     

基于最优回归理论的舰船辐射噪声指向性统计模型及分析方法研究

文章在已有单航次的舰船噪声空间特性建模分析方法等研究成果的基础上,进一步研究了若干航次条件下的统计建模及分析方法。该研究主要以单一部位垂向剖面的噪声指向性为例,建立了基于最优回归理论的舰船目标辐射噪声特性的统计模型及分析方法,并开展了海上实测研究,验证了该模型及分析方法的正确性和可行性。该项成果为深入分析不同航行工况下各类舰船目标的噪声空间特性及其统计规律等创造了条件。     

Assessing the impact of reduced visibility on traffic crash risk using microscopic data and surrogate safety measures

Due to the difficulty of obtaining accurate real-time visibility and vehicle based traffic data at the same time, there are only few research studies that addressed the impact of reduced visibility on traffic crash risk. This research was conducted based on a new visibility detection system by mounting visibility sensor arrays combined with adaptive learning modules to provide more accurate visibility detections. The vehicle-based detector, Wavetronix SmartSensor HD, was installed at the same place to collect traffic data. Reduced visibility due to fog were selected and analyzed by comparing them with clear cases to identify the differences based on several surrogate measures of safety under different visibility classes. Moreover, vehicles were divided into different types and the vehicles in different lanes were compared in order to identify whether the impact of reduced visibility due to fog on traffic crash risk varies depending on vehicle types and lanes. Log-Inverse Gaussian regression modeling was then applied to explore the relationship between time to collision and visibility together with other traffic parameters. Based on the accurate visibility and traffic data collected by the new visibility and traffic detection system, it was concluded that reduced visibility would significantly increase the traffic crash risk especially rear-end crashes and the impact on crash risk was different for different vehicle types and for different lanes. The results would be helpful to understand the change in traffic crash risk and crash contributing factors under fog conditions. We suggest implementing the algorithms in real-time and augmenting it with ITS measures such as VSL and DMS to reduce crash risk.