青岛地铁线网无线统一调度系统互联互通实施方案

简要阐述青岛地铁线网无线统一调度系统互联互通实施方案的系统架构、核心设备功能、纵向统一调度方案、横向集群业务互联互通方案以及相应的业务流程等。该方案实现了青岛地铁不同品牌TETRA系统的线网纵向统一调度和线网横向集群业务的互联互通功能,解决了青岛地铁线路多品牌系统跨线运营的问题。     

基于车车通信的城市轨道交通列车控制系统折返能力分析

列车折返过程是影响列车折返能力的关键因素.以基于车地通信的传统列车控制系统为比较对象,阐述了基于车车通信的列车控制系统的显著优点.结合实际车站情况,在站前折返和站后折返模式下,仿真计算了采用不同列车控制系统时的列车折返能力.仿真结果显示,采用基于车车通信的列车控制系统时列车折返能力明显更优.     

外军舰船综合通信系统技术分析

综合通信系统是舰船的“中枢神经”。文章从欧洲和美国海军舰艇的综合通信系统技术的分析入手,研究了舰船通信系统的发展趋势,提出了对我军舰船通信系统建设的建议。     

一种内河船舶信息自动报告系统的设计与实现

针对目前内河航运中普遍使用VHF语音通信进行船舶信息交流的缺点,设计了一种基于自组织无线数据通信、GPS定位、嵌入式软硬件设计和电子江图等关键技术实现的内河船舶信息自动报告系统,研制的实验室样机实现了自动感知临近船舶并对距离过近的危险船舶报警、船舶向岸基设备自动发送相关航运信息等功能。该系统具有运营低成本、自动准确报告船舶信息的特点,能够提高内河航运安全技术水平。     

基于高斯脉冲的超短波电台波形设计研究

针对GMSK基带信号的特点,在未引入编码条件下将Viterbi算法的思想运用于超短波高斯波形的最大似然序列估计中,相比逐符号检测达到最佳检测性能,获得了相应地功率增益,并仿真了不同BT值、定时偏差和抽样点数的波形性能。仿真结果可为超短波通信子网物理层波形设计提供理论基础,有较大的工程参考价值。     

蒸发波导环境下海上超视距通信应用研究

提出不同条件下蒸发波导预测方法:基于水文气象条件的海上舰艇蒸发波导预测模型选择方法和基于GPS信号利用贝叶斯正则化BP神经网络反演蒸发波导的方法;结合舰艇微波频段通信模式及电磁波在蒸发波导环境下的传输损耗,研究蒸发波导环境下海上超视距通信,定量估算出最大有效通信距离,仿真结果表明蒸发波导环境下微波频段通信可达视距范围之外;研究超视距通信电磁盲区分布特征及影响因素;建立蒸发波导环境下舰艇超视距通信模型及应用流程.结合实际海上通信需求,提出蒸发波导环境下舰艇海上超视距通信应用.     

广西运政管理信息化建设研究

文章结合对运政管理信息化现状的分析,介绍了广西运政管理信息化建设的系统规划及特点,提出了建设的难点问题,并对广西运政管理信息化建设所取得的效益进行了评述。     

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.     

Japanese perspective of driver information systems

A perspective view of of Japanese R&D activities of Driver Information Systems is given from the standpoint of developing joint projects by public and private sectors. First, a brief history of the R&D activities is illustrated from above mentioned standpoint. Then, two major projects, AMTICS and RACS, and the social backgrounds of these projects are explained. In order to give a clear idea of both projects some technical details are treated.Based on the history and the present status of the developments, the basic design conceptions of Japanese Driver Information Systems are explained and several factors or reasons which have influenced to the design conception are discussed. Then, the promoting systems of the R&D activities are generally explained and present status of the projects and future problems in developing more advanced systems are also handled. A brief discussion on the establishment of international standard is also mentioned as a final comment.     

智能车辆安全辅助驾驶技术研究近况

论述了安全辅助驾驶技术的研究现状、研究的必要性以及研究进展。安全辅助驾驶技术包括车道偏离预警与保持、前方车辆探测及安全车距保持、行人检测、驾驶员行为监测、车辆运动控制与通讯等。分析了各种传感器的优缺点及其在实际应用过程中存在的问题,基于单一传感器不能很好地解决安全辅助驾驶技术可靠性和环境适应能力的要求,应结合激光雷达技术解决图像模糊问题,利用红外传感器增强机器视觉识别的可靠性,未来的安全辅助驾驶技术应该采取多种传感器融合的技术,结合毫米波雷达和激光雷达系统具有深度测量精确的特点,将极大的推动汽车安全辅助驾驶系统的应用和推广。