车路协同环境下智能交叉口车速控制

Speed control for intelligent intersection under vehicle-infrastructure cooperative environment

中文关键词  车路协同  时空间隙  交叉口  智能控制  最优安全速度

英文关键词  vehicle-infrastructure cooperation  space-time gap  intersection  intelligent control  optimal safe speed

中文摘要

      传统信号控制交叉口通过相位禁行方式来解决交通冲突,导致交叉口时空资源利用率低, 延误增加. 为提高 车路协同环境下的交叉口通行效率, 本文提出了一种基于时空间隙动态分配的智能交叉口车速控制方法, 对交叉口 车辆通行时间进行归一处理, 建立了车辆跟驰控制模型和冲突避碰模型, 使车辆能够根据交叉口控制区域内的实时 路况信息预先进行速度调整, 达到不停车通过交叉口的最优安全速度. 运用VISSIM和MATLAB联合搭建仿真运行 环境, 分别在600 pcu/ h, 1200 pcu/h和1800 pcu/ h交通流量条件下, 对智能控制和传统控制交叉口的控制 效益进行评价对比, 结果表明: 该智能控制方法均能够有效缩短交叉口车辆延误, 减少车辆油耗和各类污染物的排 放, 且交通流量越高, 改善效果越明显.

英文摘要

      The traditional signal-controlled intersections resolve traffic conflicts by phase prohibitions, which leads to low utilization of intersection space-time resources and increased delays. In order to improve the traffic efficiency of intersection under vehicle-infrastructure cooperative environment, the paper proposes an intelligent intersection speed control method based on the dynamic allocation of space-time gaps. By normalizing the vehicle passage time at intersection, a vehicle following control model and a conflict avoidance model are established, so that the vehicles can make speed adjustments in advance according to the real-time road condition information in the intersection control area, so as to achieve the optimal safe speed for crossing the intersection without stopping. Using VISSIM and MATLAB to build simulation environment, the control benefits of intelligent control and traditional control intersections are evaluated and compared under the traffic flow conditions of 600 pcu/h, 1200 pcu/h and 1800 pcu/h respectively. The results show that the intelligent control method can effectively shorten the vehicle delays at intersection, reduce vehicle fuel consumption and emissions of various pollutants, and the higher the traffic flow is, the more obvious the improvement effect is.