西安地铁自动售枪票系统线网清分中心建设研究

线网清分中心的建设对于西安地铁自动售检票系统的发展具有重要的里程碑意义,是地铁线网化运营的必然要求。在对已有建设成果总结分析的基础上,对西安地铁线网清分中心的职能定位、逻辑架构、清分模型等核心技术问题进行了分析研究,并提出相关建议,为后续建设工作的展开提供参考。     

基于目标速度的汽车ACC系统油门控制策略研究

ACC系统能够根据雷达等传感器检测到的前方车辆行驶信息,并自动控制本车的油门开度和制动强度,实现自适应巡航行驶,通过对车辆行驶纵向阻力特性的分析,针对目前广泛使用的基于目标加速度的油门开度控制策略受车辆装载质量影响较大的情况,利用功率平衡原理,提出了1种基于目标车速的油门开度控制策略,并利用PreScan软件对基于目标车速的油门开度控制策略进行了仿真实验,仿真结果表明了该控制策略有效的避免了整车装载质量变化对控制目标的影响。     

EXPRESSIONS OF P53, PROLIFERATING CELL NUCLEAR ANITIGEN, BCL-2 PROTEIN AND THEIR SIGNIFICANCE IN SALIVARY ADENOID CYSTIC CARCINOMA

Studiesonthecarcinomasshowedthatthespeedofcarcinomadevelopmentisdependentonthebalanceofcellproliferatingandapoptosis.Soitisveryimportanttostudythemechanismbywhichoncogenescontrolproliferationandapoptosisoftu-morcell.Moststudiesonsalivaryglandtumorshavelaidemphsisontheproliferatingfunctionofonco-genesathomeandabroad,andignoranteditsfunc-tiononapoptosis,especially,thestudieswerefew-.erincombiningtwokindsoffunction.Helen's[13studyonACCindicatedthatmutationofP,3doesn'tplayimportantroleincarcinog…     

基于PSO的节能ACC策略

针对传统ACC算法对车辆行驶经济性考虑不足的问题,提出了基于PSO算法的节能ACC策略.在巡航模式中引入滑行巡航模型,并以油耗为目标,采用PSO算法进行滑行巡航加速度优化.以CarSim车辆模型为基础,建立了节能ACC策略模型,并通过CarSim与Simulink进行联合仿真.结果表明:相同的行驶距离情况下,节能ACC...     

浅谈速度管理的新理念和新技术

速度是道路安全的关键因素之一,超速与不合理的行驶速度对道路安全产生很大影响,使得速度管理成为一个重要且有挑战性的领域。目前,速度管理是通过道路设计设定速度限制并执行这些限制来完成。传统的速度管理方法在减少碰撞风险及事故伤亡方面取得积极的成效,但也有其局限性。利用现代技术能够使速度限制实施的更加有效。在传统方法的基础上,先提出了两种新的理念,即交通平息理论和容错的安全理念,接着提出将三种新技术,即自适应巡航控制、智能速度辅助系统和可变限速系统,应用于速度管理中,促进速度管理更加有效地实施。     

Development and testing of a fully Adaptive Cruise Control system

Adaptive Cruise Control systems have been developed and introduced into the consumer market for over a decade. Among these systems, fully-adaptive ones are required to adapt their behaviour not only to traffic conditions but also to drivers’ preferences and attitudes, as well as to the way such preferences change for the same driver in different driving sessions. This would ideally lead towards a system where an on-board electronic control unit can be asked by the driver to calibrate its own parameters while he/she manually drives for a few minutes (learning mode). After calibration, the control unit switches to the running mode where the learned driving style is applied. The learning mode can be activated by any driver of the car, for any driving session and each time he/she wishes to change the current driving behaviour of the cruise control system.The modelling framework which we propose to implement comprises four layers (sampler, profiler, tutor, performer). The sampler is responsible for human likeness and can be calibrated while in learning mode. Then, while in running mode, it works together with the other modelling layers to implement the logic. This paper presents the overall framework, with particular emphasis on the sampler and the profiler that are explained in full mathematical detail. Specification and calibration of the proposed framework are supported by the observed data, collected by means of an instrumented vehicle. The data are also used to assess the proposed framework, confirming human-like and fully-adaptive characteristics.     

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.     

车辆自适应巡航控制算法的设计与仿真

为实现智能车辆的自适应巡航功能,基于车速跟踪及PID控制理论设计了具有上下两层结构的自适应巡航控制系统.下层控制器根据上层控制器计算出的期望车速对节气门开度和制动力矩进行协调控制.在保证控制精度的前提下简化了算法.多种工况下的仿真实验表明控制器的控制效果良好.     

汽车防追尾碰撞控制系统的研究

文中介绍了一种由防止接近控制模块（ACC）和电动安全带模块（MSB）组成的汽车防追尾碰撞系统。此系统的信息传输,交换处理由以ECU为核心的汽车快速响应控制局域网（F-CAN）来完成。通过车头雷达采集车辆在行驶过程中的相对车速,相对车间距等参数后,由F-CAN系统传输给ECU进行数据处理,然后返回执行指令给相应机械以防止汽车追尾,保障驾驶员和乘员的安全。文中详细分析了组成防追尾碰撞控制系统的防止接近控制模块和电动安全带模块及制动模块的工作原理。     

安全车距保持技术硬件在环仿真试验系统

自行开发的安全车距保持技术硬件在环仿真试验系统主要由制动执行器、油门执行器、车辆模型和控制算法等组成.该仿真器可用于车辆主动避撞报警系统、自适应巡航控制系统及具有Stop&Go功能的巡航系统的仿真试验,可检验控制器及执行器的性能、设计控制算法等,从而缩短研发周期,节约开发成本.