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。     

从运营角度分析城市轨道交通建设阶段需重视的问题

分析了城市轨道交通网络化运营面临的主要问题,从运营角度提出了建设阶段必须关注的总体设计、标准化设计、国产化和信息化等问题。分析了忽视这些问题对网络化运营的安全性、可靠性和效率的影响,阐述了总体设计、标准化设计、国产化设计和信息化设计在建设阶段应关注的重点。     

轨道交通自动售检票系统国产化现状与展望

论述近10年来AFC系统的国产化取得的显著成绩和存在的问题:从起初基本依赖进口,到目前国产化率达到70%,但是现场终端设备(主要包括自动售票机及自动检票机)中的几个关键模块仍以进口为主,国产化遇到瓶颈。对AFC系统的现状进行论述,并提出对国产化的展望。     

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.     

驾驶过程中手机使用行为数据采集及分析

驾驶过程中使用手机的行为存在安全隐患,是当今导致交通安全事故的原因之一。文章借助于信息技术开发出采集使用手机行为数据的App,从真实数据出发,客观地分析驾驶员在开车过程中使用手机这一不良驾驶行为的覆盖程度及危险程度,并提出将手机使用行为作为驾驶风险评价因子。     

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.     

基于粒子群算法的水下多元线阵阵形有源校正方法

针对存在阵元位置误差的水下多元线阵,提出一种基于粒子群优化算法的远场有源阵形校正方法.该方法选用2个辅助源分时工作方式,利用无条件最大似然方位估计算法构建目标函数,并通过粒子群算法对阵元位置进行寻优.利用该方法对均匀线阵进行性能仿真实验.结果表明:该方法稳健性好、校正精度高,具有一定的应用前景.     

固定移动融合(FMC)及其实现

对固定移动融合从概念、技术标准及业务实现方式等进行了详细分析,并通过介绍国外电信运营商提供的FMC服务,提出了运营商开展FMC的相关建议.     

基于GPS与图像融合的智能车辆高精度定位算法

车辆自定位是实现智能车辆环境感知的核心问题之一.全球定位系统(Global Positioning System,GPS)定位误差通常在10 m左右,不能满足智能车辆的定位需求;惯性导航系统成本较高,不适于智能车辆的推广.本文在视觉地图基础上,提出一种基于GPS与图像融合的智能车辆定位算法.该算法以计算当前位置距离视觉地图中最近一个数据采集点的位姿为目标,首先运用GPS信息进行初定位,在视觉地图中选取若干采集点作为初步候选,其次运用Oriented FAST and Rotated BRIEF(ORB)全局特征进行特征匹配,得到一个候选定位结果,最后通过待检测图像中的局部特征点与候选定位结果中的三维局部特征点建立透视n点模型(Perspective-n-Point,Pn P),得到车辆当前的位姿,并以此对候选定位结果进行修正,得到最终定位结果.实验在长为5 km的路段中进行,并在不同天气及不同智能车辆平台测试.经验证,平均定位精度为11.6 cm,最大定位误差为37 cm,同时对不同天气具有较强鲁棒性.该算法满足了智能车定位需求,且大幅降低了高精度定位成本.