城市交叉口三左转车道流量均衡性及影响因素

Balance of Triple Leftturn Lane Volumes at Urban Intersection and Its Influential Factors

摘要:

根据多车道流量分布与驾驶员车道选择行为之间的关系，提出多车道设施流量均衡性的建模与分析方法.以城市道路信号控制交叉口三左转车道为例，使用成分数据结构组织各左转车道流量，选取可能对车道流量分布具有潜在影响的7个因素.在单形中建立以三左转车道流量成分数据为因变量、所选影响因素为自变量且满足车道流量占比约束的成分方差分析模型，设计单形操作法进行模型估计.研究结果表明，模型可识别对左转车流分布具有显著性影响的因素，并定量估计各因素对每条左转车道流量占比的影响程度.信号周期长度、交叉口内转弯曲线长度、展宽车道的设置、上游路段长度、上游左转车道标志标线位置和其他流向车道数等因素可在特定设置条件下使车流分布接近均衡.

Abstract:

A method to model and analyze balance of multiple lane volumes was proposed based on the relationship between multilane traffic distribution and driver’s lane choosing behavior. The triple leftturn lanes at urban signalized intersection were taken as case study. The collected leftturn lane volumes were organized as compositional data，and seven factors were taken into account as they could influence traffic distribution on triple leftturn lanes. A compositional analysis of variance model was formulated in the simplex to satisfy the constraint of the lane volume ratios. The dependent and independent variables are triple leftturn lane volume composition and selected influential factors respectively. The stay in the simplex approach was designed to estimate the model. Results show that the model can identify the factors with significant influence on the leftturn traffic distribution and quantify the influence degree of a factor on the ratio of each lane volume with respect to total leftturn traffic. Specific setting of the length of signal cycle，the length of vehicle turning curve inside the intersection，the setting of shadowed leftturn lane，the length of upstream segment，the location of the first leftturn sign or pavement marking at upstream，or the number of through and rightturn lanes could make the traffic distribution on triple leftturn lanes achieve relative balance.