【摘要】：根據(jù)多車道流量分布與駕駛員車道選擇行為之間的關(guān)系,提出多車道設(shè)施流量均衡性的建模與分析方法.以城市道路信號控制交叉口三左轉(zhuǎn)車道為例,使用成分?jǐn)?shù)據(jù)結(jié)構(gòu)組織各左轉(zhuǎn)車道流量,選取可能對車道流量分布具有潛在影響的7個因素.在單形中建立以三左轉(zhuǎn)車道流量成分?jǐn)?shù)據(jù)為因變量、所選影響因素為自變量且滿足車道流量占比約束的成分方差分析模型,設(shè)計單形操作法進(jìn)行模型估計.研究結(jié)果表明,模型可識別對左轉(zhuǎn)車流分布具有顯著性影響的因素,并定量估計各因素對每條左轉(zhuǎn)車道流量占比的影響程度.信號周期長度、交叉口內(nèi)轉(zhuǎn)彎曲線長度、展寬車道的設(shè)置、上游路段長度、上游左轉(zhuǎn)車道標(biāo)志標(biāo)線位置和其他流向車道數(shù)等因素可在特定設(shè)置條件下使車流分布接近均衡.
[Abstract]:According to the relationship between multi-lane flow distribution and driver's lane selection behavior, a modeling and analysis method for traffic balance of multi-lane facilities is proposed. Taking the three left lane of the urban road signal control intersection as an example, using the component data structure to organize the flow of each left turn lane, 7 factors which may have potential influence on the lane flow distribution are selected. An analysis of variance model based on three left lane traffic component data is established in a simplex, and the influence factor is independent variable and meets the restriction of lane flow ratio. The simplex operation method is designed to estimate the model. The results show that the model can identify the factors that have significant influence on the left-turn traffic distribution and quantitatively estimate the influence of each factor on the flow ratio of each left-turn lane. Signal cycle length, curve length of intersections, setting of widening lane, length of upstream section, marking position of upper left turn lane and number of other flow lanes can make the traffic flow distribution close to equilibrium under certain setting conditions.
【作者單位】： 同濟(jì)大學(xué)道路與交通工程教育部重點實驗室;同濟(jì)大學(xué)交通運輸工程學(xué)院;佛羅里達(dá)大學(xué)城市與區(qū)域規(guī)劃系;上海交通大學(xué)船舶海洋與建筑工程學(xué)院;云南省交通規(guī)劃設(shè)計研究院陸地交通氣象災(zāi)害防治技術(shù)國家工程實驗室;
【基金】：“十二五”國家科技支撐計劃(2014BAG01B02) 上海市自然科學(xué)基金(17ZR1431800)
【分類號】：U491.23
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本文編號：2371273