基于概率模型的具有短车道的信号交叉口进口道通行能力研究

发布时间：2018-06-14 13:53

本文选题：交通工程 + 通行能力　；参考：《公路交通科技》2014年09期

【摘要】：分析了短车道效应对进口道拓宽车道通行能力的影响,基于交通流理论和概率论,提出了考虑短车道排队阻塞情况下的信号交叉口进口道通行能力计算模型。该模型根据进口道中3种转向车流的比例、短车道几何特征以及信号周期计算一个信号周期中两种不同短车效应的发生概率,并计算各自情况下的进口道通行能力。进一步探讨了该模型中转弯车辆比例、短车道长度、信号周期长度、绿信比的变化对通行能力的影响。研究发现短车道对通行能力的主要影响因素包括左转车比例、短车道长度和绿信比,且当左转车比例在50%左右时,增加短车道长度能显著提高通行能力。此外,使用西安和上海的实测数据对本模型和HCM2000通行能力模型进行验证和对比,本模型的计算结果比HCM2000模型更加精确,误差小于200 pcu/h。
[Abstract]:Based on the theory of traffic flow and probability theory, this paper presents a model for calculating the capacity of signalized intersections under the condition of short lane queue congestion. The model calculates the probability of two different short vehicle effects in a single signal cycle according to the proportion of three steering vehicle flows in the inlet lane, the short lane geometry characteristics and the signal period, and calculates the capacity of the inlet lane in each case. Furthermore, the effects of the ratio of turning vehicles, the length of short lane, the length of signal cycle and the ratio of green to signal on the capacity of the model are discussed. It is found that the main influencing factors of short lane on traffic capacity include the ratio of left turn, short lane length and green letter ratio, and when the proportion of left turn is about 50%, the increase of short lane length can significantly improve the capacity. In addition, the measured data from Xi'an and Shanghai are used to verify and compare the model and the HCM2000 capacity model. The calculated results of this model are more accurate than those of HCM2000 model, and the error is less than 200 pcu-h.
【作者单位】：同济大学交通运输与工程学院;弗罗里达大学设计建设与规划学院;上海交通大学交通研究中心;
【分类号】：U491.23

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