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passed vehicle造句

"passed vehicle"是什么意思   

例句與造句

  1. Outside it was fully dark, the only exterior lights came from occasional passing vehicles .
    外面漆黑的,只有過路的車輛偶爾照進(jìn)亮來。
  2. Answer : it is safe and you see the passed vehicle in your rearview mirror
    確定安全,且你可從后視鏡中看見被超車的車輛出現(xiàn)。
  3. The body , suspended about 15 feet above the ground , could be easily seen from passing vehicles . state police spokesman cpl
    街上來往的開車人和行人很容易注意到這具懸掛在街邊樹上15英尺約4 . 57米高處的女尸。
  4. Motorcyclists often adjust position within a lane to be seen more easily and to minimize the effects of road debris , passing vehicles , and wind
    機(jī)車通常會在一個車道內(nèi)轉(zhuǎn)換相對位置,以便更容易看到和降低路面上各種碎片、交會車輛,以及風(fēng)的影響。
  5. Prince had lain there in the ditch since the morning ; but the place of the blood - pool was still visible in the middle of the road , though scratched and scraped over by passing vehicles
    清晨以來,王子就躺在那條路邊的溝里但是路中間的一大攤血跡依然可見,盡管它被過往的車輛碾壓過磨擦過。
  6. It's difficult to find passed vehicle in a sentence. 用passed vehicle造句挺難的
  7. The times of the pedestrians keeping away from the passing vehicles are adopted in the exposure index , and the kinetic energy of vehicle impact on the pedestrians are considered in the severity index
    經(jīng)過曝光量指標(biāo)與風(fēng)險指標(biāo)的檢核過程,證實本研究所建立的人車沖突風(fēng)險指標(biāo)確實能夠反映地區(qū)性道路的交通安全狀況。
  8. The experiment shows , through the avc system we designed , the outline geometrical characters of vehicles can be rapidly obtained , and the classifier can generally classify the passing vehicles . the result is mainly up to the mustard
    實驗表明,以上方法相結(jié)合設(shè)計出的車型自動分類器,可以快速獲取車輛的外形幾何參數(shù),基本能實現(xiàn)車型分類,具有較為滿意的分類正確率。
  9. We have 2000 square meters parking place and a hotel with 95 beds , which can provide a high quality integrated service including parking and accommodation with highly safety and economic cost for the passing vehicles , drivers and the civilian tourists
    擁有2000平方米的停車場及95張床位的招待所,可為南來北往的客貨車輛司乘人員及工薪層旅客提供??坎惋嬜∷薜纫粭l服務(wù),安全高效質(zhì)優(yōu)價廉。
  10. Through studying the traffic sample , the system itself can find the appropriate parameter to adjust the virtual - loop ' s signals , which restrains the noise ' s effect . thus the virtual - loop ' s signals can reflect the passing vehicles accurately
    通過對交通流實際樣本的自學(xué)習(xí),系統(tǒng)能夠找到合適的放大倍數(shù)來調(diào)整線圈輸出信號,從而抑制噪聲,使得虛擬線圈的輸出信號更真實的反映車輛的實際通過情況。
  11. The still further analysis in connection with several actual examples reveals that the method can fairly accurately identify the numbers , sizes and action positions of the passing vehicles on the bridge in the state of sparse traffic volume , and can derive load under multiple vehicle action within the influential lines
    結(jié)合實例的分析表明該方法能夠較精確識別稀疏交通狀態(tài)下車輛數(shù)量、大小、作用位置,并能推求影響線內(nèi)多車作用下的荷載。
  12. Based on the strain history information obtained from monitoring of bridge operation state , and through detailed analysis of influential line shapes of measurement points on the bridge , a bwim ( bridge weight in motion ) method , the single - acme acutance method that can identify passing vehicle load , is established
    摘要基于橋梁運(yùn)營狀態(tài)監(jiān)測得到的應(yīng)變歷程數(shù)據(jù),通過對測點影響線形狀的較深入分析,建立了識別過橋車輛荷載的一種bwim方法“單峰銳度法” 。
  13. Through the bayonet socket intelligence examination system , the all - weather real - time monitor bayonet socket passing vehicles , through tcp / ip network transmits to the server , carries on uninterrupted statistical , the analysis traffic flow magnitude situation , and has produced the communication protocol format
    摘要通過卡口智能檢測系統(tǒng),全天候?qū)崟r監(jiān)測卡口的過往車輛,通過tcp / ip網(wǎng)絡(luò)傳送到遠(yuǎn)程服務(wù)器,進(jìn)行不間斷統(tǒng)計、分析車流量情況,并給出了通信消息的協(xié)議格式。
  14. On the evaluation mode , the times of the pedestrian keeping away from the passing vehicles are adopted in the potential conflict index , and the kinetic energy of vehicle impact on the pedestrians are considered in the severity index . based on them to reduce the traffic conflict indexes to evaluate the traffic safety ' level of local street of city , during the course of verifying potential conflict and traffic conflict index
    在交通安全評價模式中,利用人、車潛在交會次數(shù)衡量行人處于危險環(huán)境的長短作為潛在沖突量指標(biāo);利用事故發(fā)生時能量傳遞的大小衡量行人在事故中的傷亡程度作為嚴(yán)重性指標(biāo);并以此推出交通沖突指標(biāo)值,來評價城市地區(qū)性道路的交通安全度。
  15. The bridges are pivotal stronghold of the whole road . it becomes more and more popluar that some existing bridges betray multifarious structure damage and the limitations below the anticipative functions inevitably by reason of structure aging or vehicle load increasing or adverse environment or maintenance deficiency . lt results in not only the local bottleneck of the line and hidden trouble to the passing vehicle if the defective bridges are not duly maintained and reinforced . as a result , the bridge evaluation is specially important to the maintenance and strengthening . futhermore , we can not demolish and rebuild only but adop corresponding measures according ad temporal condition when the bridges are deemed to have defectiveness . so it accords with the situation of a country that the reinforcement and other upgrade measures aim at the bridge attention
    由于結(jié)構(gòu)自然老化、車輛荷載增加、不利環(huán)境影響以及養(yǎng)護(hù)維修欠缺,一部分橋梁不可避免地要暴露出各種結(jié)構(gòu)損傷和既有橋梁不滿足規(guī)定功能要求的問題越來越普遍。如果這些技術(shù)狀況不佳的橋梁得不到及時的維修和加固,不僅會造成整條線路的局部瓶頸,而且還會對通行的車輛造成極大的隱患。因此,橋梁評估作為橋梁維修和加固的依據(jù)就顯得尤為重要;此外出現(xiàn)了技術(shù)狀況不佳的橋梁應(yīng)根據(jù)實際情況采取相應(yīng)的措施,而不能僅僅采取拆除重建的方法,因此加固和其他升級方法是目前比較符合中國國情的橋梁改造措施。
  16. The noise signal of passing vehicles is gathered with microphone array , and processed off line with the method of wide - band array signal processing , then the estimation of vehicle numbers can be transformed into the estimation of signal source numbers , up and down of the vehicle can be transformed into doa estimation of array signal processing . at the same time , vehicle types are classified using pca method of the pattern recognition based on vehicle noise , and some primarily study is done for vehicle recognition . at last , the result of the experiment proves this method is feasible
    對麥克風(fēng)陣列所采集的車輛行駛時的聲音信號,運(yùn)用寬帶陣列信號處理的方法進(jìn)行離線處理,并將車輛個數(shù)的估計轉(zhuǎn)化為陣列信號處理中信號源個數(shù)的估計,將車輛上下行的估計轉(zhuǎn)化為陣列信號處理中波達(dá)方向變化的估計,進(jìn)而較準(zhǔn)確地估計出了車輛的個數(shù)與行車方向;同時對所采集的車輛聲音信號應(yīng)用模式識別中的主分量分析法實現(xiàn)了車輛的簡單分類,為實現(xiàn)車型識別作了一些初步的探索。

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