为改善城市道路交叉口的交通拥堵状况，克服传统交叉口感应控制的弊端，提出 了部分车辆联网环境下交叉口实时车辆排队长度的估测算法，建立了基于延误时间最小 化的通行优先级计算模型，在此基础上综合考虑交叉口通行安全等因素，设计了交通流向 动态组合的交叉口自适应控制方法． 为了验证模型与方法的准确性和可行性，通过对 VISSIM-COM 编程完整地实现了上述控制逻辑，并选取典型交叉口进行仿真验证． 结果表 明:文中提出的排队长度估测算法具有较高的准确性;相比传统感应控制和固定配时设 计，文中提出的控制模型在交叉口平均排队长度方面的优化幅度达 70%，平均延误时间 分别降低约 65%和 55%，并且弥补了传统感应控制在接近饱和及过饱和交通状态下疏导 能力不足的缺陷，有效地提高了交叉口运行效率．

In order to ease the congestion problem in urban intersections and overcome the drawbacks of the tradi- tional traffic-responsive strategy,a real-time vehicle queue length estimation algorithm for the intersections in the environment of partial internet-of-vehicles is proposed,and a traffic flow priority calculation model is constructed to minimize delay time.On this basis,by comprehensively considering such factors as the traffic safety at intersec- tions,an adaptive intersection control method with dynamic traffic flow arrangement is designed.In order to verify the accuracy and feasibility of the proposed model and method,the above-mentioned control logic is implemented by the VISSIM-COM programming,and a typical intersection is selected to conduct a simulation.The result shows that (1) the proposed queue length estimation algorithm is of a higher accuracy; (2) as compared with the tradi- tional traffic-responsive strategy and the fixed-time strategy,the proposed control model achieves an 70% increase in average queue length，with an average delay decrease of about 65% and 55% respectively; and (3) the pro- posed model makes up for the deficiency of the traditional traffic-responsive strategy in easing the traffic near or over the saturation point,and effectively improves the operating efficiency at intersections.