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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/64333
Title: | 混合車流下路段車輛推進模式參數校估之研究 A Study of Calibration Parameters in Mixed Traffic Vehicle Propagation Model |
Authors: | Chi-Hui Wu 吳契輝 |
Advisor: | 許添本(Tien-Pen Hsu) |
Keyword: | 混合車流,路段推進模式,混合比,面積比例, Mixed traffic flow,Road propagation model,Mixing ratio,Area ratio, |
Publication Year : | 2012 |
Degree: | 碩士 |
Abstract: | 國內於市區道路其車流組成以汽機車為主,而在許多路段汽機車混合比往往高達60%以上,而機車與汽車之車流特性也有很大之差異,故在傳統建立混合車流模式中,大多以將機車轉換為小客車當量數,以方便解決機車本身具有體積小,且會向前滲透之特性,但若直接使用固定小客車當量來作轉換,則無法有效反應出機車實際上於各種混合比例下之車流行為,也無法判斷於不同混合比例下機車與汽車之間的干擾,以至於模式結果會與現實情況有落差。
在國外之速率-密度關係式,由早先Greenshields的線性模型,直到近年來的實證結果指出,流量與密度關係圖應較像三角形狀,故早先線性模型已無法描述全部車流狀態,故在本研究中挑選DynaMIT的動態交通指派之模式,較能適配出符合實際流量與密度關係圖之曲線,以用來有效計算出國內混合車流路段推進之速率。 在本研究由實際調查影片分析出快車道與混合車道平均行駛速率之差異以及混合車道中汽機車速率之差異,由結果可顯示快車道之自由速率會大於混合車道之平均自由速率,而在混合車道中機車平均速率也會大於汽車平均速率,因為在快車道汽車較不受機車之干擾,其平均行駛速率也相對較高,故在本模式把快車道與混合車道分別建立路段推進模式,並考慮道混合車道之汽機車速率不一,加入了動態自由速率之概念,其會隨著混合比的高低而對應出不同的混合車道自由速率。 本研究並利用面積比例及密度修正因子來建立混合車流之路段推進模式,透過動態車長與車寬之概念,推估出會隨著混合比而變動之最小密度與壅塞密度,並於不同混合比下去調整混合車道之汽車實際所佔之面積,之後利用實際調查之速率與預測值推估出混合車流路段推進模式之參數,接著使用MAPE來作為其評估準則,評估結果可以顯示出使用面積比例的概念來推估混合車流之推進速率,是具有可行性的。 The vehicular flows in Taiwan are mixed with trucks, buses, passenger cars and motorcycles, for example motorcycles ratio is higher than 60% in the cities, it is established in the traditional mixed traffic model, use of motorcycle traffic is transferring by equivalent number of passenger cars, the physical size of motorcycles is smaller than car, and it can easily pass over passenger cars. For these reasons, traditional traffic flow model can’t reasonably explain the mixed traffic flow. Early Greenshields’s model is linear relationship of speed and density, until recent years, empirical results indicate that the speed and density diagram for the triangular shape, linear model is unable to describe the speed of all traffic status, in this study use DynaMIT dynamic traffic assignment model response to actual traffic relationship of speed and density. In this study uses actual survey video to analyze the traffic behavior movement at both inner lanes and mixed lanes, the results can be displayed inner lane free speed will be greater than the mean free speed of the mixed lane, in this model respectively establish road propagation model of inner lane and mixed lane, with the level of the mixing ratio corresponds to a different mix of lane free speed. In this study use area ratio and density correction factor to build sections of the mixed traffic flow propagation model, through the concept of dynamic vehicle length and dynamic vehicle width estimate minimum density and congestion density cut-off point, and use actual survey to estimate the predictive value of mixed traffic sections to road propagation model parameters, the results can show the concept of using area ratio to estimate the advance rate of the mixed traffic flow is feasible. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/64333 |
Fulltext Rights: | 有償授權 |
Appears in Collections: | 土木工程學系 |
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