铁路移动信息传输安全平台的设计与实现

为铁路移动设备通过GPRS、Internet、网络动态隔离系统、铁路内部骨干计算机网实现与地面局域网间的实时数据通信,从实用、安全、可靠的角度出发,设计公用网与铁路专用网安全互联、移动设备与地面网络可靠互通的铁路移动信息传输安全平台。该平台硬件系统由内外网通信服务器、行车监控及业务系统设备为主的时实监控和传输设施组成,平台软件系统主要由外网传输处理子系统、内网传输处理子系统、管理监视子系统构成。将GPRS数据接入点部署在铁路局,每个铁路局设立统一的外网通信服务器,作为各个业务系统地面数据处理中心,承担所有应用系统车、地间和内、外网间的数据交换任务,使各应用系统中所有从GPRS下载的实时信息统一由铁路局外网通信服务器接收,再经网络安全传输平台进入铁路运输生产系统,提供给各个相关责任部门使用,从而确保铁路第6次大提速的行车安全。     

数字无线通信技术的优势

虽然到目前为止,大多数对讲机系统仍采用模拟技术,但数字技术已开始推动移动通信的变革步伐,从模拟通信系统过渡到数字通信系统已经成为大势所趋。在这个过程中,如何保护已有在模拟设备上投资,并灵活选择向数字系统的过渡方式和过程,成为推动无线通信系统数字化进程的关键。     

面向Agent的智能CAD系统的研究

介绍从CAD到智能CAD(ICAD)的发展过程,并给出与智能CAD系统有关的一些方法和概念.最后提出了智能CAD系统结构及面向Agent的智能CAD系统的总体结构图.     

Estimating traffic volumes for signalized intersections using connected vehicle data

Recently connected vehicle (CV) technology has received significant attention thanks to active pilot deployments supported by the US Department of Transportation (USDOT). At signalized intersections, CVs may serve as mobile sensors, providing opportunities of reducing dependencies on conventional vehicle detectors for signal operation. However, most of the existing studies mainly focus on scenarios that penetration rates of CVs reach certain level, e.g., 25%, which may not be feasible in the near future. How to utilize data from a small number of CVs to improve traffic signal operation remains an open question. In this work, we develop an approach to estimate traffic volume, a key input to many signal optimization algorithms, using GPS trajectory data from CV or navigation devices under low market penetration rates. To estimate traffic volumes, we model vehicle arrivals at signalized intersections as a time-dependent Poisson process, which can account for signal coordination. The estimation problem is formulated as a maximum likelihood problem given multiple observed trajectories from CVs approaching to the intersection. An expectation maximization (EM) procedure is derived to solve the estimation problem. Two case studies were conducted to validate our estimation algorithm. One uses the CV data from the Safety Pilot Model Deployment (SPMD) project, in which around 2800 CVs were deployed in the City of Ann Arbor, MI. The other uses vehicle trajectory data from users of a commercial navigation service in China. Mean absolute percentage error (MAPE) of the estimation is found to be 9–12%, based on benchmark data manually collected and data from loop detectors. Considering the existing scale of CV deployments, the proposed approach could be of significant help to traffic management agencies for evaluating and operating traffic signals, paving the way of using CVs for detector-free signal operation in the future.     

Mobile ICTs and physical mobility: Review and research agenda

The question of the relationship between the spread of communication tools and the physical mobility of individuals is not new and arose with the arrival of the fixed telephone and, more recently, the development of the Internet and especially e-commerce. The extraordinary spread of individual, especially portable, communication tools like the mobile phone, has recently generated new interest in this topic in the fields of transportation economics, geography and sociology. This article discusses the main topics that have been explored, from the debate between complementarity and substitution to analyses in terms of interactions with the spatiotemporal organization of daily activities, the size and maintenance of social networks, and, finally, perception of travel and spaces. We then identify several issues that we think merit further exploration.     

Privacy protection method for fine-grained urban traffic modeling using mobile sensors

With the ubiquitous nature of mobile sensing technologies, privacy issues are becoming increasingly important, and need to be carefully addressed. Data needs for transportation modeling and privacy protection should be deliberately balanced for different applications. This paper focuses on developing privacy mechanisms that would simultaneously satisfy privacy protection and data needs for fine-grained urban traffic modeling applications using mobile sensors. To accomplish this, a virtual trip lines (VTLs) zone-based system and related filtering approaches are developed. Traffic-knowledge-based adversary models are proposed and tested to evaluate the effectiveness of such a privacy protection system by making privacy attacks. The results show that in addition to ensuring an acceptable level of privacy, the released datasets from the privacy-enhancing system can also be applied to urban traffic modeling with satisfactory results. Albeit application-specific, such a “Privacy-by-Design” approach would hopefully shed some light on other transportation applications using mobile sensors.     

基于Agent控制器的单路口信号灯学习控制方法研究

将强化学习中的Q学习算法与Agent技术相结合,构成Agent控制器对单路口的信号灯进行控制.介绍了将经验知识与Q学习算法相结合实现的Agent学习机制,提出了一种适合交通环境的强化函数,以解决单路口的动态实时控制.经仿真软件Paramics对实际路口进行仿真实验,验证了该方法具有较好的控制效果.     

基于B/S/A的路网监控网管系统研究

结合路网监控系统管理模式及其现状，开发了一种基于B／S／A的层次化、模块化的路网监控网络管理系统，探讨了系统功能、系统结构、逻辑层次关系及管理信息模型，并结合W-DMDU。分析了Agent的具体设计方案及设备类型动态管理技术在系统数据库设计中的应用。     

城市轨道交通中个人导向方法研究

文章运用层次分析的方法来阐述个人导向功能的实现原理,提出了利用现阶段飞速发展的移动通信体技术,设计一种应用在城市轨道交通中具有个人导向功能的移动通信体,以改善城市轨道交通中个人导向功能薄弱的现状。     

基于Agent协同设计系统的研究

在介绍Agent技术的基础上,提出了基于Agent协同设计系统的思想及总体结构图,讨论了由于Agent的引入,有利于构造大型协同设计的优点及存在的问题.