本文關(guān)鍵詞： 大數(shù)據(jù) 規(guī)則挖掘 交通擁堵治理 交通擁堵分析　出處：《統(tǒng)計與信息論壇》2017年05期 　論文類型：期刊論文

【摘要】：隨著中國城市機(jī)動車保有量的急劇增多,交通擁堵已經(jīng)成為現(xiàn)代城市病。交通擁堵在道路網(wǎng)絡(luò)中呈現(xiàn)向四周放射的傳導(dǎo)特性,擁堵路段傾向于將擁堵擴(kuò)散傳導(dǎo)到其他相鄰路段,該特性此前未被系統(tǒng)研究過,綜合比較各種方法的適用性,從時間和大數(shù)據(jù)規(guī)則挖掘角度對擁堵建模;使用時間序列規(guī)則挖掘算法建立交通擁堵傳導(dǎo)規(guī)律模型,并基于傳導(dǎo)規(guī)則預(yù)測未來交通流狀況;更重要的是,挖掘出來的擁堵傳導(dǎo)規(guī)則直觀可用,能夠用于建立擁堵預(yù)警防治機(jī)制,完善道路路網(wǎng)建設(shè)規(guī)劃中不合理的部分,從而達(dá)到提升交通效率的目的。研究結(jié)果證明本模型能夠較好達(dá)到研究目的,挖掘出的擁堵傳導(dǎo)規(guī)則可以精確分析交通擁堵狀況并預(yù)測未來交通流狀況,因此可以為交通擁堵治理決策提供重要參考。
[Abstract]:With the rapid increase in the number of motor vehicles in China's urban areas, traffic congestion has become a modern urban disease. Traffic jams in the road network show the conduction characteristics that radiate toward the surrounding areas, and congestion sections tend to spread congestion to other adjacent sections. This feature has not been systematically studied before, comprehensive comparison of the applicability of various methods, from the time and big data rules mining point of view to model congestion; using time series rules mining algorithm to establish traffic congestion conduction law model, And based on the conduction rules to predict the future traffic flow; more importantly, excavated congestion conduction rules are intuitively available, can be used to establish a congestion prevention and control mechanism, improve the unreasonable part of road network construction planning, The research results show that the model can achieve the research purpose, and the traffic congestion conduction rules can accurately analyze the traffic congestion and predict the traffic flow in the future. Therefore, it can provide an important reference for traffic congestion management decision.
【作者單位】： 北京交通大學(xué)經(jīng)濟(jì)管理學(xué)院;
【基金】：北京市哲學(xué)社會科學(xué)基金《基于大數(shù)據(jù)規(guī)則挖掘的交通擁堵治理研究》(15JGC166);《經(jīng)濟(jì)時空分析方法及相關(guān)理論框架的初步構(gòu)建》(15JGA016) 中央高校基本科研業(yè)務(wù)費(fèi)專項資金《基于規(guī)則挖掘的交通擁堵傳導(dǎo)機(jī)制研究》(2015jbwy007)
【分類號】：D631.5

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