中文摘要：

为缓解城市道路交叉口的交通拥堵状况，在分析车联网环境技术特征的基础上提出交叉口交通流分区控制思想并建立系统优化的数学模型。针对模型的求解提出匀速控制区车辆时空轨迹获取方法和变速控制区车辆动力学参数求解算法，从而实现对进入交叉口的每辆车进行运动过程控制的目的，使各向交通流得以高效无冲突地通过交叉口。为验证模型的正确性和有效性，通过COM接口把车联网交通流控制模型集成到VISSIM交通仿真平台中，并选取广州市某典型交叉口进行仿真分析。结果表明：与现有的信号控制技术相比，所提出的车联网微观控制方法能有效提高交叉口交通流的通行能力，显著降低通行延误并减少停车次数。

英文摘要：

In order to mitigate traffic congestion at urban intersections, based on the analysis of the technical features of connected-vehicle network （CVN） environment, a method named zoning control for intersection traffic flow and a mathematical model for system optimization were proposed. For solving the model, a method to get vehicles＇ time-space trajectories in Constant- speed area and an algorithm to obtain vehicles＇ dynamics parameters in Variant-speed area were provided for controlling the movement process of each vehicle at intersection, so that the traffic flow from different directions can pass the intersection effectively without any conflict. To verify the correctness and efficiency of the proposed model, it was integrated into VISSIM simulation platform by COM technology, and a typical intersection in Guangzhou city was selected as the simulation case. The results show that compared with the signal control method, the proposed microcosmic control approach of connected-vehicle network can effectively improve the traffic capacity of intersection and reduce vehicles＇ traffic delay and stopping times significantly.