协作集合选取中的协作效率研究*

系统地研究了协作集合选取中的协作效率，详细讨论了参与协作的小区数目对协作性能的影响和参与协作的小区构成的网络架构对协作性能的影响。通过仿真分析，得出了参与协作的小区数目为7时能够得到最佳协作效率的结论；同时，得出了在7个小区协同传输时，以环绕中心小区的6小区构成的协作架构能够得到最高协作效率的结论。这些结论表明在研究CoMP技术获取最大效率的同时，也能够建立一个高效的协作架构，能够为进一步研究CoMP的性能增强提供一定的理论依据支撑。     

地铁供电系统中双向变流装置设计方案对比研究

针对地铁供电系统中3种双向变流装置和整流机组配置方案,对比分析设备额定功率选择原则、协同控制策略以及主变电所注入点谐波的影响.采用1套整流机组和1套双向变流装置方案时,建议采用双向变流装置优先工作的控制策略,以减少12脉波整流带来的低次谐波影响.通过分析双向变流装置和二极管整流机组的短路阻抗,总结交流侧和直流侧的短路保...     

Exploring the effects of cooperative adaptive cruise control on highway traffic flow using microscopic traffic simulation

This paper examines the impact of having cooperative adaptive cruise control (CACC) embedded vehicles on traffic flow characteristics of a multilane highway system. The study identifies how CACC vehicles affect the dynamics of traffic flow on a complex network and reduce traffic congestion resulting from the acceleration/deceleration of the operating vehicles. An agent-based microscopic traffic simulation model (Flexible Agent-based Simulator of Traffic) is designed specifically to examine the impact of these intelligent vehicles on traffic flow. The flow rate of cars, the travel time spent, and other metrics indicating the evolution of traffic congestion throughout the lifecycle of the model are analyzed. Different CACC penetration levels are studied. The results indicate a better traffic flow performance and higher capacity in the case of CACC penetration compared to the scenario without CACC-embedded vehicles.     

高职院校学生社团活动对提升大学生综合素质的影响

本文论述了高职院校学生社团对培养大学生的政治素质、专业素质、道德素质、人文素质等综合素质具有重要的意义,同时高职院校社团活动在促进学生成长成才方面所具有的自身特色和不容低估的重要作用。     

车路协同条件下智能网联高速公路通行效率信息自适应分发协议:NRT-V2X

车路协同技术是解决自动驾驶中单车智能现存缺陷的关键技术。而智能网联高速公路的出现为车路协同技术真正应用于实际提供了良好的平台，其中，路侧单元（Road Side Unit，RSU）如何将路侧传感器信息或交通监控中心发布消息传递给路上车辆，是车路协同技术的一个关键环节。为此，提出一种基于V2V（Vehicle to Vehicle）和V2I（Vehicle to Infrastructure）融合的自适应数据分发协议（Adaptive Network and Road Traffic Data Dissemination for V2X，NRT-V2X）。NRT-V2X协议在影响通行效率事件的车流上游为RSU定义了一段服务区域（ROI，Region of Interest）。RSU通过感知服务区域中车辆的无线通信网络状况和路面交通状况来自适应调整其信息发送间隔，从而在保证ROI中车辆信息全覆盖的前提下，降低RSU发送信息开销，抑制ROI内车辆的接收信息冗余。基于创建的2个场景和2个车路协同应用，利用双向耦合车联网仿真平台进行性能评估。试验结果表明：采用NRT-V2X协议的车路协同技术可使高速公路的通行效率提高28%以上；与RSU固定发送间隔协议和典型V2X协议ATB相比，NRT-V2X的信息覆盖率稳定在100%，发送信息开销降低了至少30%，接收信息冗余下降了20%以上；NRT-V2X能够将智能网联高速公路通行效率相关信息高效地由RSU分发到其定义的ROI中的所有车辆，从而保证所有车辆预先接收到相关信息，选择最优行车路线，提高通行效率。     

基于人机共驾的车道保持辅助控制系统研究（双语出版）

车道保持控制系统是汽车安全辅助驾驶的重要组成部分，可有效提高汽车主动安全性、避免车辆无意识地偏离本车道。目前，大部分车道保持控制系统在工作时将驾驶人的操作视为外界干扰，没有考虑人机共驾阶段下驾驶人与控制系统的控制权分配问题，易造成人机冲突、影响驾驶人的驾驶感受。论文兼顾驾驶人与辅助控制系统各自优势，基于人机共驾技术对车道保持控制系统进行研究。构建基于安全行驶区域与最晚预警边界相结合的车道偏离决策模型，在保证其预警精度的同时降低计算复杂性，根据车辆行驶状态和路面附着系数动态调整预警阈值；研究串级MPC-PID控制策略实现对车辆横向位置的控制，将最优问题转化为二次规划求得目标前轮转角，利用PID算法完成对目标前轮转角的跟踪；引入共驾系数对车辆的控制权进行分配，研究共驾系数分配模型，以车辆状态误差和驾驶人转向力矩作为模糊控制的输入变量、共驾系数作为输出变量，降低辅助控制系统与驾驶人之间的冲突；最后，利用CarSim与Simulink联合仿真对所研究的控制策略进行仿真验证，结果表明共驾系数能够根据驾驶人的操作和车辆运行状态的变化实现动态调整，辅助控制力矩与驾驶人输入力矩变化趋势相同，在保留驾驶人一定操作的基础下可避免车辆偏离车道、降低人机冲突。     

Copepod diversity in the water masses of the southern East China Sea north of Taiwan

The warm oceanic current Kuroshio and the continental shelf water of the East China Sea meet in the western North Pacific, north of Taiwan and form an upwelling when they converge. The intrusion of the Kuroshio westward over the East China Sea shelf thus results in complicated exchanges of waters between these two water masses. We studied the copepods in the plankton collection taken from an east–west transect crossing these waters in April 1995 when the intrusion of the Kuroshio over the East China Sea shelf was beginning to retreat. The taxonomy of copepods was carefully treated and erroneous species records reported in the literature were guarded against. We evaluated the copepod diversity, the association of copepod species, and the association of stations in these water masses.     

多机空战仿真目标分配算法研究

通过介绍一种用以进行空战态势评估和威胁评估的方法-威胁指数法;在此基础上建立了目标分配模型,并且采用遗传算法完成目标的全面分配,以此获得最佳的打击效果;给出具体仿真算例.计算结果表明,该算法能有效解决分配问题.从而提高多机空战的整体作战效能.     

A comprehensive review of the development of adaptive cruise control systems

It has been 15 years since the first generation of adaptive cruise control (ACC)-equipped vehicles was available on the market and 7 years since the ISO standard for the first generation of ACC systems was produced. Since the next generation of ACC systems and more advanced driver-assistant systems are at the verge of complete introduction and deployment, it is necessary to summarise the development and research achievements of the first generation of ACC systems in order to provide more useful experiential guidance for the new deployment. From multidimensional perspectives, this paper looks into the related development and research achievements to objectively and comprehensively introduce an ACC system to researchers, automakers, governments and consumers. It attempts to simply explain what an ACC system is and how it operates from a systematic perspective. Then, it clearly draws a broad historical picture of ACC development by splitting the entire history into three different phases. Finally, the most significant research findings-related ACC systems have been reviewed and summarised from the human, traffic and social perspectives respectively.     

基于雷达测距的车辆识别与跟踪方法

本文中提出了一种基于雷达测距的车辆识别与跟踪方法,以准确地识别道路上的车辆目标。首先对采集到的每帧数据采用自适应距离阈值的方法进行聚类分析。在聚类内部采用端点迭代拟合算法提取线段,在此基础上得出目标的特征向量,并据之识别车辆目标。然后通过计算特征向量的代价函数进行多目标关联,利用卡尔曼滤波器根据关联结果更新目标的状态。最后,以智能车辆BJUT-IV配备LMS291激光雷达在校园道路上对本方法进行验证测试,结果表明,提出的方法能够准确地对多个行驶车辆进行跟踪。