大数据在智能交通系统中的应用

近年来,如何处理交通拥堵、交通污染以及交通事故等城市化现象已逐渐成为各国的亟需解决的问题之一。针对这一现象,结合大数据的智能交通系统(ITS)逐渐发展起来,该系统的信息不仅高效、准确,更重要的是还可以提供实时的数据,可作为管理部门处理交通事故和违法行为的参考。     

自适应加权在智能交通系统中的应用

为了更加准确地监测动态变化的交通信息,通过分析城市道路交通流量变化的特点,提出一种基于自适应加权的监测方法。这种方法根据数据各属性的特点,将数据构造为多个相关的时间序列,在此基础上进行数据融合,得到最终的结果对交通信号灯进行实时控制,以保证道路通畅。仿真实验结果证明该方法具有较高的判断准确率和良好的识别性能。     

面向智能交通系统的物联网体系结构的研究

城市交通是城市生活中一个极为重要的环节,也是衡量城市现代化水平的重要标志,在交通堵塞、污染和运输效率低的今天,智能交通系统已成为城市交通体系中不可或缺的组成部分。而物联网技术能够在智能交通的应用中提高其交通管理水平和运行效率,减少交通事故、降低环境污染,促进交通管理及出行服务系统建设的信息化和智能化。文章对物联网和智能交通系统的发展现状和趋势,以及面向智能交通系统的物联网体系结构和车联网进行了简要探讨。     

物联网在智能交通系统中的应用

随着信息化的不断推进,物联网技术的发展受到政府和企业的重视。本文通过对物联网的发展现状以及存在的相关问题进行初步分析,结合智能交通系统的总体架构的叙述和发展智能系统的必要性,阐述物联网在智能交通系统中的应用。     

基于无线传感器网络的智能交通系统——智能交通系统

无线传感器网络（WSN）是一种融合短程无线通讯技术、微电子传感器、嵌入式系统的新技术。智能交通系统作为感知终端,将交通信息收集到控制中心,控制中心对多源交通信息进行分析,为用户提供最优行车路线。     

GPS\GIS技术在智能交通系统(ITS)领域中的应用分析

随着GPS/GIS技术的成熟以及其在智能交通系统中的逐步应用与发展,从而提高交通安全和运输服务水平,形成一种"以信息化为基础,以现代通信和计算机为手段,以安全、高效、服务为目的的新型现代交通运输系统。     

浅析无线通信技术在智能交通系统中的应用

随着人们生活水平的提高,汽车保有量呈现出不断增长的态势,这也使交通拥堵成为各城市普遍存在的现象。由于道路建设滞后于城市车辆数量的增长速度,为了能够有效地缓解交通堵塞问题,全面提高交通运输效率,实现道路空间的充分利用,需要加快推动智能交通系统的建设。该文从无线通信技术和智能交通系统入手,进一步对无线通信技术在智能交通系统中的应用进行了具体的阐述。     

GIS在城市智能交通管理系统中的应用

地理信息系统,简称GIS,其作为一种新的学科技术,集计算机科学技术、地理学科、测绘学科等多种学科于一体。GIS在交通领域中的应用,为城市的交通管理实现智能化、信息化提供了良好的技术支持,具有广阔的发展前景。文章对GIS的基本概念作以介绍,对以GIS为基础的城市智能交通系统功能进行分析,对GIS在城市智能交通管理系统中应用所使用的关键技术支持进行探讨。     

关于智能交通系统在高速公路上的探究

随着智能交通系统的不断发展,其在人类社会之中扮演的角色也日趋重。在高速公路管理部门,智能交通系统也得到了较为广泛的应用。具体的来说,其对智能交通系统的应用主集中于为高速公路管理提供一套科学有效的管理手段,并利用智能交通系统之中系统管理、数据信息实时传达的优良特性,帮助高速公路交通管理部门可以在第一时间掌握正确的信息,为高速公路管理层针对具体的情况制定出相应的智能交通系统。     

车牌识别技术在智能交通系统的应用研究

智能交通系统对于扼制交通违章,打击肇事逃逸,科学合理地解决交通问题,有着极其重要的意义。车牌识别技术是智能交通系统中的关键技术之一,包含车牌定位和字符识别这两项主要技术。针对当前传统的识别技术识别准确率不高,识别速度不快提出了一种基于小波分析的车牌定位快速算法,并且利用神经网络技术实现字符识别的算法。经过实际应用得出通过对车基于小波的车牌定位算法,可以较好的进行车牌定位,定位率可以达到96．3％以上。对字符的识别率可以达到85％以上牌的自动识别。提高了传统技术的自动识别效率。此车牌识别算法的速度和准确率在实际工程应用中达到交通监控集成系统的功能要求,取得了较好的运行效果。     

我国交通运输行业物联网技术应用模式研究

应用物联网技术能有效提高交通运输领域的运行效能并促进行业转型,已被公认为解决我国当前严峻的交通运输诸多问题的首选措施。本文首先分析了物联网技术的优势及交通运输行业发展趋势,在此基础上,研究物联网与交通运输领域的结合之处并给出了交通运输物联网定义。针对传统的交通运输智能化发展过程中遇到的诸多问题,提出了未来交通物联网发展模式。该模式提出基于统一前端信息采集以实现真正的互联互通,它能极大节省技术推广成本、挖掘信息潜在价值,促进可持续的信息服务市场形成和行业升级。     

鸿蒙操作系统在智能测量仪器中的应用

嵌入式操作系统在仪器智能化过程中起着至关重要的作用。通过分析鸿蒙系统的技术架构和分布式及微内核特性,并与现有的国内外嵌入式操作系统进行对比,结合测量仪器数据采集的实际应用案例,得出了鸿蒙系统在自主可控、实时性和连接流畅方面具有优越性,满足测量仪器对操作系统的需求。     

Effectiveness and acceptance of the intelligent speeding prediction system (ISPS)

Background

The intelligent speeding prediction system (ISPS) is an in-vehicle speed assistance system developed to provide quantitative predictions of speeding. Although the ISPS's prediction of speeding has been validated, whether the ISPS can regulate a driver's speed behavior or whether a driver accepts the ISPS needs further investigation. Additionally, compared to the existing intelligent speed adaptation (ISA) system, whether the ISPS performs better in terms of reducing excessive speeds and improving driving safety needs more direct evidence.

Objectives

An experiment was conducted to assess and compare the effectiveness and acceptance of the ISPS and the ISA.

Method

We conducted a driving simulator study with 40 participants. System type served as a between-subjects variable with four levels: no speed assistance system, pre-warning system developed based on the ISPS, post-warning system ISA, and combined pre-warning and ISA system. Speeding criterion served as a within-subjects variable with two levels: lower (posted speed limit plus 1 mph) and higher (posted speed limit plus 5 mph) speed threshold. Several aspects of the participants’ driving speed, speeding measures, lead vehicle response, and subjective measures were collected.

Results

Both pre-warning and combined systems led to greater minimum time-to-collision. The combined system resulted in slower driving speed, fewer speeding exceedances, shorter speeding duration, and smaller speeding magnitude.

Conclusions

The results indicate that both pre-warning and combined systems have the potential to improve driving safety and performance.     

Development of Run-To-Run (R2R) controller for the multiple-input multiple-output (MIMO) system using fuzzy control theories

Run-to-Run (R2R) control has been extensively applied in semiconductor manufacturing. In particular, del Castillo, E. and Rajagopal, R., A multivariate double EWMA process adjustment scheme for drifting processes. IIE Trans., 2002, 34, 1055–1068, investigated double multivariate exponentially weighted moving average (MEWMA) controller for the multiple-input multiple-output (MIMO) system in an attempt to adjust and maintain the linear dynamic process outputs on target. Multivariate fuzzy control, inherently different from conventional MEWMA-based control, is another promising alternative that consists of fuzzy logic and set concept. Providing the fuzzy control can structure an appropriate membership function for the R2R MIMO system, thus it can be shown a practically useful control tool in comparison to MEWMA control. In this paper, fuzzy logic is utilized to design the multivariate fuzzy controller for the type of R2R applications based primarily on the min-max-gravity method advocated by Gupta, M.M., Kiszka, J.B. and Trojan, G.M., Multivariable structure of fuzzy control systems. IEEE Trans. Sys., Man Cybern., 1986, 16, 638–656. Under a variety of disturbance models, the proposed multivariate fuzzy controller can produce quite competitive control performance when compared to MEWMA control.     

四极质谱仪在光阴极转移系统中的应用

介绍了四极质谱仪在光阴极转移系统中的应用.分别论述了四极质谱仪对光阴极转移系统的检漏原理与方法,并对系统内光阴极有害的主要残气成分进行了分析.     

Application of Grey System Theory in Design For Cost （DFC）

Design For Cost (DFC) is a branch of Design For X (DFX). In this paper, we defined DFC as a design method that analyzed and evaluated the product‘s life cycle cost (LCC), then modified the design to reduce the LCC. Nowadays it is a very difficult thing to obtain LCC data in China or in developing countries. Statistical methods can not be used because available LCC data are few. In order to solve this problem, we used grey system theory. Then relations of cost factors were analyzed in LCC using grey relevant methods, and a GM( 1,1 ) model between design parameters and LCC was established. Using this model, we can estimate and control LCC by changing design parameters at the beginning of the design stage.     

及时生产制(JIT)应用的探讨

实施JIT生产制的目的是降低库存和消除浪费。实现这一目的的手段是看板管理。看板管理需要一定的基础条件,看板管理的运用必须理解看板的概念、看板的运作程序以及应该注意的问题。实施JIT生产制是一个持续改进过程。     

An exploratory study of the impact of information communication technology (ICT) or computer mediated communication (CMC) on the level of violence and access to service among intimate partner violence (IPV) survivors in Canada

This paper presents exploratory research on the use of information communication technologies (ICTs) or computer mediated technologies (CMCs) (i.e., cell phones and the internet) among immigrant women who are intimate partner violence survivors (IPV) in Canada. The discussion begins with a presentation of initial data examining the impact of such technology on the level and extent of violence experienced by IPV survivors, and on their ability to access appropriate services. Furthermore, an assessment of whether this form of technology aided in the development of a prevention or safety plan, is explored. The data is based on non-random sample surveys of immigrant women IPV survivors with Canada. While the limited scholarship on ICT or CMC usage indicates that there is a digital divide and that various socio-demographic factors do play a role in utilizing the technology, our data does not display a black and white or any streamlined pattern with regards to the digital divide and sociodemographics factors. An examination of the participants' various sociodemographics indicates that the digital divide within this population is not influenced by access or knowledge to the technology but by other factors often not discussed in the intersectionality models. An intersectional model of race and immigration status along with the existing literature on intimate partner violence among immigrant women especially issues of isolation and social networking inform this paper.     

微粒群算法在自动控制系统设计中的应用

提出了将微粒群优化(Particle Swarm Optimization,PSO)算法与控制系统设计相结合的系统设计思路和方法。系统设计过程包括两个部分：首先基于历史输入输出数据,用微粒群算法建立系统的模型,然后基于得到的模型进行控制器的设计,并用微粒群算法进行控制器的参数优化整定。仿真试验结果表明,微粒群算法在控制系统设计的模型建立、控制器参数优化等方面发挥了重要的作用,简化了控制系统设计任务,提高了设计效率。     

无模型控制在气动变载荷加载系统中的应用

针对气动加载系统压力跟踪控制中强非线性、强耦合性、模型不精确性等问题,提出一种无模型自适应控制(model-free adaptive controller,MFAC)器,该控制器结构简单、参数少、不需要被控系统的数学模型,是一种低成本的控制器.其中的伪偏导数估计算法仅需利用受控系统的输入输出数据来估计伪偏导数,使该算...