loop detector 的翻译结果
本文关键词:基于环形线圈检测器采集信息的交通状态分类方法应用研究,,由笔耕文化传播整理发布。
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loop detector
Application Research of Traffic State Classification Method Based on Collected Information from Loop Detector
基于环形线圈检测器采集信息的交通状态分类方法应用研究
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Data Mining Method Based on Collected Information from Loop Detector
基于环形线圈检测器采集信息的数据挖掘方法研究
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Freeway incident detection algorithm based on pulse data of loop detector
基于检测器脉冲数据的高速公路事件自动检测算法研究
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Optimum Method for Loop Detector Layout Density for Expressway Based on Travel Time Estimation
基于行程时间估计的快速路检测器布设密度优化方法研究
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car model’s automatic classifying and identifying system is made up of car model’s classify and identify mainframe、axle detector,infrared raster car segregator and annular loop detector.
车型自动分类识别系统由车型分类识别系统主机、轴检测器、红外光栅式车辆分离器和环形线圈检测器组成。
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A Vehicle Classification System Based on Inductive Loop Detector
一种基于感应线圈的车型识别系统
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Fusing Model from Probe Vehicle and Loop Detector
浮动车与感应线圈检测技术融合模型
Here a method based on video technique is employed, and a new concept of loop detector which we call it virtual loop is brought forward for traffic surveillance instead of the old one which buried in the ground.
采用基于图像处理的视频检测方式,将停止线附近的限定区域作为监测区域,设定“虚拟”线圈,检测是否有机动车违章行为的发生,避免了交通监测系统中使用物理感应线圈对交通和道路带来的影响。
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With the clustering analysis method,data preparation technology and traffic engineering technology,this article focuses on application research of traffic state classification method based on collected information from loop detector system. This traffic state classification method provides a nice reference to real time traffic state recognition of the transportation management and control.
应用聚类分析方法,结合数据预备技术和交通工程技术,对环形线圈监测系统采集的交通流基础特征数据进行挖掘,实现了一种交通状态分类方法,并对交通管理控制系统中实时交通状态的判断识别提供可靠的参照标准。
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For the sample wave of a vehicle is determined by its velocity, structural framework and the relative location to an inductive loop detector, the sample wave is flexible.
由于采样波形与车速、车辆自身结构以及其通过线圈时的相对位置有关,导致实际同类车辆波形存在伸长、压缩,甚至波形残缺不全或局部振荡等复杂情况。
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The Design and Realization of Loop-coil Vehicle Detector
环形线圈车辆检测器的设计与实现
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Design Based on the Vagon Detector of the Loop Coil
一种基于环形线圈的车辆检测器设计
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FID detector;
FID检测器;
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Detector: FID.
氢火焰离子化检测器(FID),测定沙棘果油的脂肪酸组成及其亚油酸含量。
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The Transmission Loop
传输环路
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loop detector
They have been determined at each detector station, where the measured speed information is available using the double-loop detector.
This paper aims to develop a freeway speed estimation algorithm using single-loop detector.
A single loop detector-based freeway speed estimation
The result is a map of the tail of each queue upon activation as far as can be determined from the loop detector locations.
The results vary from 1.7% to 2.2% deviation from a traditional loop detector.
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Applying the correlation analysis method,the author presents a brief and valid algorithm to i-dentify the pulse response function of a road section,which uses the natural stochastic signals in measureddata of traffic volume on the section. Based on the pulse response function,a new algorithm to estimate themean speed Of vehicles in the section during a long time interval for light traffic conditions is also presented. Moreover,an algorithm to identify the mean effective vehicles length is put forward. The merits...
Applying the correlation analysis method,the author presents a brief and valid algorithm to i-dentify the pulse response function of a road section,which uses the natural stochastic signals in measureddata of traffic volume on the section. Based on the pulse response function,a new algorithm to estimate themean speed Of vehicles in the section during a long time interval for light traffic conditions is also presented. Moreover,an algorithm to identify the mean effective vehicles length is put forward. The merits of these al-gorithms are that they do not need to measure the speed of each vehicle and the double-loop detector shouldnot be required.
本文根据相关分析识别方法,提出一种利用道路交通量实测数据中所含自然随机信号,识别该道路交通脉冲响应的新的简捷有效算法,在此基础上提出了对轻交通情况下较长周期内路段平均速度进行估计的一种新算法,以及识别路段内平均有效车辆长度的一种算法,这些算法的优点是不必测量每车速度,不需要双线回检测器。
Automatic incident detection algorithm is the core of ATM. Now, most of the incident detection algorithms adopt speed, occupancy and/or volume as detection parameter obtained from loop detector. But these algorithms need a number of loop detectors with certain distance. At present, in China there aren't enough loop detectors on the freeways. So the detection effect is limited in practice. As for Chinese freeway is concerned, the authors attempt to develop a new freeway incident detection algorithm...
Automatic incident detection algorithm is the core of ATM. Now, most of the incident detection algorithms adopt speed, occupancy and/or volume as detection parameter obtained from loop detector. But these algorithms need a number of loop detectors with certain distance. At present, in China there aren't enough loop detectors on the freeways. So the detection effect is limited in practice. As for Chinese freeway is concerned, the authors attempt to develop a new freeway incident detection algorithm based on data fusion. The algorithm combines the traffic information of mainline with the information of tolling station to detect the incident. Finally, as the simulation results shown, the new algorithm for incident detection has a lower false alarm rate and a higher detection rate, and it can improve the detection. The algorithm would have a bright prospect in China.
高速公路事件自动检测算法是高速公路事件管理系统的核心。目前的事件自动检测算法普遍采用流量、速度和/或占有率作为检测参数,这些参数可由道路主线上的检测器得到。但这种检测方法要求路上埋设有一定密度的检测器。而目前在我国的很多高速公路上都存在着埋设检测器数量少、间距大的现象,以至这些算法在实际应用中检测效果很不理想。针对高速公路检测器的埋设现状,提出了一种新的事件检测算法,将主线检测器得到的信息和收费口处得到的信息进行融合来判断交通事件的发生。仿真试验表明:与传统事件检测算法相比,该算法具有更高的检测率、更低的误报率,可以明显改善检测效果。
The accurate,real-time traffic speed data are important for a successful freeway traffic management system.Unfortunately,vehicle speeds cannot be directly measured by single-loop detectors.In this paper,a simple model method of single-loop data based for speed estimation is presented,different models are used to estimate speed according to different traffic conditions such as free flow and congested flow.Speeds estimated by this method are very close to the speeds observed by the corresponding...
The accurate,real-time traffic speed data are important for a successful freeway traffic management system.Unfortunately,vehicle speeds cannot be directly measured by single-loop detectors.In this paper,a simple model method of single-loop data based for speed estimation is presented,different models are used to estimate speed according to different traffic conditions such as free flow and congested flow.Speeds estimated by this method are very close to the speeds observed by the corresponding dual-loop detector.Compared to the commonly adopted speed estimation algorithm,the proposed method improves estimation accuracy significantly.
实时准确的交通速度对于成功的快速路管理系统来说是至关重要的。然而,交通速度并不能直接从单线圈检测器测量出来。论文提出了一种基于单线圈输出量进行速度估计的简单模型方法。该方法考虑自由流和拥挤状态下分别采用不同的模型进行速度估计。利用该方法估计出来的速度非常接近于双线圈测量的速度观测值。与以往的算法相比,该方法简单实用并且明显地改善了速度估计。
 
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本文关键词:基于环形线圈检测器采集信息的交通状态分类方法应用研究,由笔耕文化传播整理发布。
本文编号:148118
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