Position synchronization for track geometry inspection data via big-data fusion and incremental learning

Track geometry inspection data is important for managing railway infrastructure integrity and operational safety. In order to use track geometry inspection data, having accurate and reliable position information is a prerequisite. Due to various issues identified in this research, the positions of different track geometry inspections need to be aligned and synchronized to the same location before being used for track degradation modeling and maintenance planning. This is referred to as “position synchronization”, a long-standing important research problem in the area of track data analytics. With the aim of advancing the state of the art in research on this subject, we propose a novel approach to more accurately and expediently synchronize track geometry inspection positions via big-data fusion and incremental learning algorithms. Distinguishing it from other relevant studies in the literature, our proposed approach can simultaneously address data exceptions, channel offsets and local position offsets between any two inspections. To solve the Position Synchronization Model (PS-Model), an Incremental Learning Algorithm (IL-Algorithm) is developed to handle the “lack of memory” challenge for the fast computation of massive data. A case study is developed based on a dataset with data size of 18 GB, including 58 inspections between February 2014 and July 2016 over 323 km (200 miles) of tracks belonging to China High Speed Railways. The results show that our proposed model performs robustly against data exceptions via the use of multi-channel information fusion. Also, the position synchronization error using our proposed approach is within 0.15 meters (0.5 feet). Our proposed data-driven, incremental learning algorithm can quickly solve the complex, data-extensive, position synchronization problem, using an average of 0.1 s for processing one additional kilometer of track. In general, the data analysis methodology and algorithm presented in this paper are also suitable to address other relevant position synchronization problems in transportation engineering, especially when the dataset contains multiple channels of sensors and abnormal data outliers.     

Capacity,information and minority games in public transport

Many public transport operators are faced with high peak demands. This leads to crowded vehicles and discomfort for the passengers. The increasing availability of information technologies creates new opportunities for passengers to avoid crowding and for operators to inform passengers and reallocate capacities quicker than before. We define and implement a simple model based on minority games, a class of games that deals with crowding dynamics, adapted to a public transport setting.We propose a model which includes multiple resources and heterogeneous passenger preferences. We have conducted two simulation studies, investigating the dynamics of crowding within a simplified public transport setting. In our first experiment we investigate the effect of the availability of information on crowding. In our second experiment we study dynamic optimization of rolling stock capacities. We find that both the information disclosed and the capacity optimization mechanism have an impact on the number of passengers utilizing resources and their satisfaction. As such, these models enable the development and analysis of new operator policies to deal with crowded situations.     

Valorization of carbon dioxide by conversion into fuel using renewable energy in Algeria

Reducing the emissions of the main anthropogenic greenhouse gases, such as carbon dioxide (CO₂), is one of the major challenges of this century. A partial solution to these environmental problems could be the capture and the conversion of carbon dioxide. The main objective of the present work is to study the opportunities and prospects of recycling carbon dioxide to produce synthetic fuel, particularly methanol, which is a complementary technology to carbon capture and storage (CCS). This methanol will be produced by using several renewable energies, such as solar, wind and geothermal, for the purpose of using it in the transportation sector in Algeria. In 2013, Algeria’s total amount of CO₂ emissions (created by energy consumption) was 143 million tonnes. It is estimated that 44.4 million tonnes of CO₂ can be captured from the exhaust of stationary units (factories and power stations) and converted to methanol every year. By adopting this process, approximately 32 million tonnes of methanol can be produced with an energy value of 580,000 TJ. The methanol produced from CO₂ can be used as an alternative transportation fuel. For this reason, the Geographical Information System (GIS) is used to present the spatial distribution of the methanol demand in short and long terms, based on market penetration rates, vehicle fleet and population data. An analysis of the energy balance, environment and economics of CO₂ recycling process is presented. In terms of environmental performance, the reduction in carbon dioxide emissions that come from the transport sector was remarkable in 2045.     

海事信息化项目沟通管理研究

文中以天津海事局信息化项目的沟通管理为例,分别从项目建设的启动、实施、收尾阶段,分3个层次对项目建设中的沟通问题进行深入分析,并提出了解决这些沟通问题的管理对策。     

A spatial autoregressive panel model to analyze road network spillovers on production

The production function approach is used to introduce the effect of public infrastructure on economic growth focusing on its spillover effects. We improve the existing literature both from a conceptual and methodological perspective. As regressors we incorporate variables related to the new concepts of internal and imported transport infrastructure capital stocks, which are actually used in commercial flows, calculated by network analysis performed in GIS. The internally used capital stock represents own infrastructure that benefits accessing markets within the region itself, while the imported capital stock captures the spillover effect associated to the use of the infrastructure situated in neighboring regions. From a methodological perspective, we introduce spatial interdependence into these models, applying the most recent spatial econometric techniques based on instrumental variables estimation in spatial autoregressive panel models in comparison with Maximum Likelihood estimation methods. We illustrate the methodology with Spanish provincial panel data for the period 1980–2007. Results support the hypothesis that the imported capital has a positive spillover effect on production.     

多Agent在铁路供电设备状态管理系统中的应用

现有铁路供电管理信息系统只是将信息汇总,方便用户浏览,多数不具有分析功能。为此,提出一种将多Agent技术应用于供电MIS的方法,并以铁路供电管理信息系统设备状态监测子系统为例,论述系统的层次结构和工作流程、各个Agent的功能部署和协作机制、系统的优缺点。     

新时期高校档案信息资源的开发与利用

随着社会信息化的不断发展,高校档案已成为学校及社会重要的不可或缺的信息资源,被越来越多的人士所认识,因此,高校档案信息资源的开发与利用显得尤为重要。高校档案工作应以开发档案信息资源为重点,以提高档案的利用率和实现开发成果社会共享为目的,加快高校档案的开发与利用,从强化服务意识、丰富馆藏、加强编研入手,加大开发的力度,以丰富的成果为学校及社会提供优质的服务,实现信息资源成果共享,以适应新时期信息化发展需要。     

工程检测信息管理网站的构建

介绍了工程检测信息管理网站的基本内容,提出了建设工程检测专业办公网站的设想和方案,其特点在于规范性、开放性、适应性和适时性。     

基于电子海图的船舶绕避台风系统设计与实现

发挥电子海图显示平台优势,引入基于台风预报误差遭遇概率算法,设计了基于电子海图的船舶绕避台风系统,将台风基本数据信息和船舶航行基本信息,如船舶位置、航线以及台风的位置、行进路线等直观地显示在电子海图上,并运用台风预报误差遭遇概率算法,可快速、准确地制定出船舶绕避台风方案。利用此系统可有效、直观显示船舶和台风的相对动态关系,从而制定船舶绕避台风的航速和航线规划,保证船舶在恶劣的台风天气中的航行安全。     

符合国际标准的网络化零件库技术的研究和实现

介绍了基于数据字典构建符合国际标准的网络化零件库的方法:EXPRESS与XML的结合.详细分析、比较了作为转换对象的标准文件ISO13584-42和目标对象的XML文件结构,由此建立EX-PRESS描述与XML数据文件的映射关系,特别是建立的映射关系应该符合ISO I3584-42的逻辑结构.最后探讨了符合国际标准的网络化零件库的实现过程.