磨粒分布函数及可靠性数学用于部分弹流中接触：概率与磨损研究

本文提出一种实际机械中的润滑均为部分弹流状态的新观点.文中利用磨粒尺寸分布函数及可靠性数学方法解决了部分弹流中接触概率的计算和磨损规律,并进一步提出了设计计算时,接触概率的控制规范.     

信息熵理论在计算断面含沙量分布中的运用

运用信息论中的最大熵原理导出悬沙颗粒所处位置高度y的概率密度函数p(y).由p(y)与相对含沙量的关系得出适合于断面任一垂线的含沙量分布公式,在此基础上结合边界及流速情况提出了便于工程运用的针对宽浅河槽及非宽浅河槽断面含沙量分布的计算方法,计算结果与实测结果吻合良好.     

Mathematical characterization of spatiotemporal congested traffic patterns: mixed speed data analysis in the greater Toronto and Hamilton area,Canada

This paper formulates a comprehensive methodology for analyzing, quantifying and identifying congestion characteristics based on speed distribution. Utilizing vehicle speed data, a mathematical approach is applied, in order to characterize roadway segments, in terms of travel reliability, congestion severity and duration. We argue that the Gaussian mixture model (GMM) and its parameter combination is the appropriate tool if we are to obtain quantitative congestion measures and rank roadway performance. A significant contribution of our approach is that it is based on assumptions regarding mixed components as well as speed distribution and can be applied to large databases. We test our framework on the greater Toronto and Hamilton area in Ontario, Canada, and conclude that congestion quantification through the application of the GMM can be successfully accomplished. Results indicate that speed patterns differ significantly between counties as well as days of the week.     

An application-oriented model of passenger waiting time based on bus departure time intervals

This paper develops an application-oriented model to estimate waiting times as a function of bus departure time intervals. Bus stops are classified into Type A and B depending on whether they are connected with urban rail transit systems. Distributions of passenger arrival rates are analyzed based on field data for Beijing. The results indicate that the best fits for the distribution of passenger arrival rates for Type A and B bus stops are the lognormal distribution and gamma distribution, respectively. By analyzing relationships between passenger arrival rates and bus departure time intervals, it is demonstrated that parameters of the passenger arrival rate distribution can be expressed by the average and coefficient of variation of bus departure time intervals in functional relationships. The validation shows that the model provides a reliable estimation of the average passenger waiting time based on readily available bus departure time intervals.     

Transit trip distribution model considering land use differences between catchment areas

Sustainable land use planning and advanced public transport system are believed to be effective solutions to traffic congestion. To this end, it is important to reveal the relationship between transit ridership and land use. However, current Direct Ridership Models only focus on the relationship between single station's boarding volume and the corresponding catchment area land use. This paper analyzed the ridership distribution between transit stations by considering the land use difference between catchment areas. Land use difference was calculated from point of interest (POI) data extracted from an electronic map of Beijing; transit trip distribution volume was obtained from ‘automatic fare collection’ facility. After data specification, a transit ridership distribution model was proposed and calibrated. The calibration results suggest that land use difference has a directly proportional correlation with transit ridership distribution. The research findings build a bridge between detailed urban form and public transport, which is of significance for the further research of sustainable urban planning. Copyright © 2016 John Wiley & Sons, Ltd.     

Pedestrian detection for traffic safety based on Accumulate Binary Haar features and improved deep belief network algorithm

ABSTRACT

In order to improve traffic safety and protect pedestrians, an improved and efficient pedestrian detection method for auto driver assistance systems is proposed. Firstly, an improved Accumulate Binary Haar (ABH) feature extraction algorithm is proposed. In this novel feature, Haar features keep only the ordinal relationship named by binary Haar features. Then, the feature brings in the idea of a Local Binary Pattern (LBP), assembling several neighboring binary Haar features to improve discriminating power and reduce the effect of illumination. Next, a pedestrian classification method based on an improved deep belief network (DBN) classification algorithm is proposed. An improved method of input is constructed using a Restricted Bolzmann Machine (RBM) with T distribution function visible layer nodes, which can convert information on pedestrian features to a Bernoulli distribution, and the Bernoulli distribution can then be used for recognition. In addition, a middle layer of the RBM structure is created, which achieves data transfer between the hidden layer structure and keeps the key information. Finally, the cost-sensitive Support Vector Machine (SVM) classifier is used for the output of the classifier, which could address the class-imbalance problem. Extensive experiments show that the improved DBN pedestrian detection method is better than other shallow classic algorithms, and the proposed method is effective and sufficiently feasible for pedestrian detection in complex urban environments.     

地铁车站低压配电监控综合集成系统应用研究

目前车站低压配电系统内部的弱电监控系统越来越多,导致各系统设备重复设置,资源浪费比较严重;与外部其他系统的接口繁杂,调试维护复杂;值班人员需要关注多个终端,使用十分不便。通过对各低压配电监控子系统的分析,本着资源共享、节约投资的理念,提出各监控系统综合集成的设置方案,采用此集成系统可以减少设备投资、简化车站低压配电各监控子系统与外界接口,提高安装调试时的便利性及运营后期维护的可操作性,为车站运行安全提供保证。     

地铁通信电源系统的安全控制

从保障地铁通信电源设备安全运行方面出发,针对电源设备可能出现的故障,采用设备安全控制的理念,分析交流配电屏的安全切换,UPS、高频开关电源、蓄电池的安全控制点,以及安全控制对外界环境的要求等,从而实现对通信电源系统故障进行预防和快速有效处理的目标。     

永磁轨道磁感应强度计算方法

基于分子电流环模型,利用毕奥·萨伐尔定律建立了能够实现单块永磁体磁感应强度分布的三维模型;通过坐标变换的方法,得到可描述任意大小永磁体组合的磁感应强度分布的模型。以Halbach型永磁轨道作为研究对象,建立了完整的三维计算模型。通过对比分析,得到磁感应强度的解析解、实测值以及有限元解的一致性结果,肯定了模型的正确性。     

变配电所27．5kV缺相保护逻辑功能完善的研究

针对变配电合建所27．5kv电压互感器高压或低压保险熔断,造成缺相失压使保护装置动作跳闸断电,给安全运输和经济运行以及推广应用带来的影响和制约问题进行了分析研究,提出了完善逻辑功能的改造方案。