短车道信号控制交叉口通行能力概率模型

针对短车道信号控制交叉口,提出考虑不同流向相互阻塞概率的通行能力计算模型,该模型克服了以往交叉口通行能力计算模型中对交叉口短车道影响考虑不足的缺陷.根据短车道条件下不同交通流的相互阻塞特征,将交叉口短车道分为三类.基于车流到达随机性,考虑相邻周期排队状态的相互作用,将阻塞过程划分为不阻塞、可能阻塞、阻塞后三个阶段,建立了通行能力计算模型.基于实测数据标定后的微观仿真分析表明,相对于HCM(Highway CapacityManual)模型,该模型计算结果能够相对更真实地反映短车道信号控制交叉口通行能力.针对短车道长度、短车道数目,绿信比和周期长度的参数敏感性分析,进一步揭示了在不同流量水平下短车道对交叉口通行能力的影响.

Probabilistic Model for Signalized Intersection Capacity with Short Lanes

The paper presents a theoretical model for estimating the capacity of signalized intersections with short lanes. The proposed model overcomes a shortcoming of current estimate models, which ignores the impacts of various short lanes. Three kinds of short lanes scenarios are allocated according to the characteristics of congestion firstly. The blockage process is divided into three stages including no blockage, probable blockage and after blockage. Finally, the calculation model for capacity of lane group is established and tested with the field data by simulation method. The intensive sensitive analysis on the length and number of the short lane, the spilt and cycle length reveal the impacts of short lanes on the capacity of intersection under different traffic flow levels.