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基于GPS交通車輛監(jiān)測(cè)誘導(dǎo)系統(tǒng)的應(yīng)用研究

發(fā)布時(shí)間:2018-05-16 15:24

  本文選題:GPS + 信號(hào); 參考:《重慶交通大學(xué)》2014年碩士論文


【摘要】:隨著我國(guó)改革開放的不斷深入,國(guó)民經(jīng)濟(jì)快速發(fā)展。相隨而來的則是交通流量的迅速增加;交通堵塞、交通事故、空氣污染等現(xiàn)象相應(yīng)惡化。推行智能誘導(dǎo)交通勢(shì)在必行。由于智能交通集成各項(xiàng)新技術(shù)領(lǐng)域,發(fā)展迅速,但是目前的智能交通誘導(dǎo)大都為路徑的誘導(dǎo)為主,對(duì)于影響駕駛員關(guān)鍵的因素速度和合理通過信號(hào)燈時(shí)的誘導(dǎo)是空白,對(duì)于這樣的智能交通誘導(dǎo)系統(tǒng)的實(shí)用性和適用性是值得研究的課題。本文針對(duì)西寧市的交通通行能力差的情況以一個(gè)典型的擁堵路口為背景進(jìn)行交通流量的研究和造成交通延誤的原因分析。通過分析得到造成交通流量差和交通延誤的原因主要是因?yàn)轳{駛員對(duì)信號(hào)燈時(shí)判斷上把握不準(zhǔn)確的問題,從而造成的交通路口擁堵和延誤。通過車載的GPS導(dǎo)航提供車輛運(yùn)行位置、車輛運(yùn)行路線、車輛速度的信號(hào)和路網(wǎng)中心的提供的該車所處位置和運(yùn)行路線上的交通信號(hào)等燈時(shí)及時(shí)情況信息經(jīng)行共享、運(yùn)算和處理,將信息及時(shí)傳遞給用戶,將衛(wèi)星監(jiān)測(cè)到GPS交通實(shí)時(shí)信息傳輸給交通路網(wǎng)中心,我們已知的數(shù)據(jù)(通過GPS收到的車輛的位置即路程),其次是信號(hào)燈時(shí)所剩余的時(shí)間(即通過路網(wǎng)中心采集的數(shù)據(jù)),來算出車輛如果在現(xiàn)在這個(gè)已知的路程和時(shí)間內(nèi)需要通過需要多少速度,通過上述的路程和時(shí)間來算速度,當(dāng)算出的速度小于60k/h就提醒駕駛員加速通過,當(dāng)算出的速度超過60k/h就提醒駕駛員減速行駛。通過這種實(shí)時(shí)提醒來誘導(dǎo)駕駛員以最優(yōu)方案通過交叉口并輔助綠波協(xié)調(diào)從而來提升交通能力。本文的研究成果可為西寧市交通的智能調(diào)度決策提供參考。
[Abstract]:With the deepening of China's reform and opening up, the national economy is developing rapidly. Traffic jams, traffic accidents, air pollution, etc. It is imperative to implement intelligent traffic guidance. Due to the rapid development of intelligent transportation integration in various new technical fields, but the current intelligent traffic guidance is mostly the guidance of the path, which is blank for the key factors affecting the speed of drivers and the reasonable passage of signal lights. The practicability and applicability of this intelligent traffic guidance system are worthy of study. In view of the poor traffic capacity in Xining, this paper studies the traffic flow in a typical congested intersection and analyzes the causes of traffic delay. Through the analysis, the main reason of the traffic flow difference and traffic delay is the problem that the driver holds the inaccurate judgment of the signal light, which results in the traffic intersection congestion and delay. The information of the vehicle running position, the vehicle route, the vehicle speed signal and the traffic signal on the vehicle location and route provided by the center of the road network are shared, calculated and processed through the GPS navigation on the vehicle. The information is transmitted to the user in time, and the real-time information from the satellite monitoring to the GPS traffic network is transmitted to the traffic network center. The data we know (the location of the vehicle received through GPS is the distance), followed by the time remaining in the signal light (that is, the data collected through the center of the road network), to calculate the vehicle's current known distance and time. How much speed is needed inside, When the calculated speed is less than 60k/h, the driver is advised to speed up, and when the calculated speed exceeds 60k/h, the driver is advised to slow down. This kind of real-time reminder can induce the driver to use the optimal scheme to pass through the intersection and assist the green wave coordination to improve the traffic capacity. The research results of this paper can provide reference for intelligent dispatching decision of Xining traffic.
【學(xué)位授予單位】:重慶交通大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:U495

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 李建軍,陳濤;GPS/GIS在城市公共交通調(diào)度系統(tǒng)中的應(yīng)用研究[J];交通科技與經(jīng)濟(jì);2004年01期

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本文編號(hào):1897401

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