本文關(guān)鍵詞：基于環(huán)形線圈檢測器采集信息的交通狀態(tài)分類方法應(yīng)用研究，，由筆耕文化傳播整理發(fā)布。

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公路與水路運輸

loop detector

     Application Research of Traffic State Classification Method Based on Collected Information from Loop Detector

     基于環(huán)形線圈檢測器采集信息的交通狀態(tài)分類方法應(yīng)用研究

短句來源

     Data Mining Method Based on Collected Information from Loop Detector

     基于環(huán)形線圈檢測器采集信息的數(shù)據(jù)挖掘方法研究

短句來源

     Freeway incident detection algorithm based on pulse data of loop detector

     基于檢測器脈沖數(shù)據(jù)的高速公路事件自動檢測算法研究

短句來源

     Optimum Method for Loop Detector Layout Density for Expressway Based on Travel Time Estimation

     基于行程時間估計的快速路檢測器布設(shè)密度優(yōu)化方法研究

短句來源

     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.

     車型自動分類識別系統(tǒng)由車型分類識別系統(tǒng)主機(jī)、軸檢測器、紅外光柵式車輛分離器和環(huán)形線圈檢測器組成。

短句來源

更多       

     A Vehicle Classification System Based on Inductive Loop Detector

     一種基于感應(yīng)線圈的車型識別系統(tǒng)

短句來源

     Fusing Model from Probe Vehicle and Loop Detector

     浮動車與感應(yīng)線圈檢測技術(shù)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.

     采用基于圖像處理的視頻檢測方式,將停止線附近的限定區(qū)域作為監(jiān)測區(qū)域,設(shè)定“虛擬”線圈,檢測是否有機(jī)動車違章行為的發(fā)生,避免了交通監(jiān)測系統(tǒng)中使用物理感應(yīng)線圈對交通和道路帶來的影響。

短句來源

     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.

     應(yīng)用聚類分析方法,結(jié)合數(shù)據(jù)預(yù)備技術(shù)和交通工程技術(shù),對環(huán)形線圈監(jiān)測系統(tǒng)采集的交通流基礎(chǔ)特征數(shù)據(jù)進(jìn)行挖掘,實現(xiàn)了一種交通狀態(tài)分類方法,并對交通管理控制系統(tǒng)中實時交通狀態(tài)的判斷識別提供可靠的參照標(biāo)準(zhǔn)。

短句來源

     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.

     由于采樣波形與車速、車輛自身結(jié)構(gòu)以及其通過線圈時的相對位置有關(guān),導(dǎo)致實際同類車輛波形存在伸長、壓縮,甚至波形殘缺不全或局部振蕩等復(fù)雜情況。

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     The Design and Realization of Loop-coil Vehicle Detector

     環(huán)形線圈車輛檢測器的設(shè)計與實現(xiàn)

短句來源

     Design Based on the Vagon Detector of the Loop Coil

     一種基于環(huán)形線圈的車輛檢測器設(shè)計

短句來源

     FID detector;

     FID檢測器;

短句來源

     Detector: FID.

     氫火焰離子化檢測器(FID),測定沙棘果油的脂肪酸組成及其亞油酸含量。

短句來源

     The Transmission Loop

     傳輸環(huán)路

短句來源

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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.

更多          

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.

本文根據(jù)相關(guān)分析識別方法，提出一種利用道路交通量實測數(shù)據(jù)中所含自然隨機(jī)信號，識別該道路交通脈沖響應(yīng)的新的簡捷有效算法，在此基礎(chǔ)上提出了對輕交通情況下較長周期內(nèi)路段平均速度進(jìn)行估計的一種新算法，以及識別路段內(nèi)平均有效車輛長度的一種算法，這些算法的優(yōu)點是不必測量每車速度，不需要雙線回檢測器。

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.

高速公路事件自動檢測算法是高速公路事件管理系統(tǒng)的核心。目前的事件自動檢測算法普遍采用流量、速度和/或占有率作為檢測參數(shù),這些參數(shù)可由道路主線上的檢測器得到。但這種檢測方法要求路上埋設(shè)有一定密度的檢測器。而目前在我國的很多高速公路上都存在著埋設(shè)檢測器數(shù)量少、間距大的現(xiàn)象,以至這些算法在實際應(yīng)用中檢測效果很不理想。針對高速公路檢測器的埋設(shè)現(xiàn)狀,提出了一種新的事件檢測算法,將主線檢測器得到的信息和收費口處得到的信息進(jìn)行融合來判斷交通事件的發(fā)生。仿真試驗表明:與傳統(tǒng)事件檢測算法相比,該算法具有更高的檢測率、更低的誤報率,可以明顯改善檢測效果。

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.

實時準(zhǔn)確的交通速度對于成功的快速路管理系統(tǒng)來說是至關(guān)重要的。然而,交通速度并不能直接從單線圈檢測器測量出來。論文提出了一種基于單線圈輸出量進(jìn)行速度估計的簡單模型方法。該方法考慮自由流和擁擠狀態(tài)下分別采用不同的模型進(jìn)行速度估計。利用該方法估計出來的速度非常接近于雙線圈測量的速度觀測值。與以往的算法相比,該方法簡單實用并且明顯地改善了速度估計。

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  本文關(guān)鍵詞：基于環(huán)形線圈檢測器采集信息的交通狀態(tài)分類方法應(yīng)用研究，由筆耕文化傳播整理發(fā)布。