【摘要】 为解决高速公路合流区在交通需求较高条件下的交通流不稳定和拥堵问题，以提高合流区通行能力和车辆合流过程协调性以及消除合流冲突为切入点，提出了在全智能网联车辆(CAV)环境下基于编队的协同合流(PBCM)策略.在合流区上游匝道路段设置一定长度的编队区，当编队区内的CAV数量满足一定规模后，即触发PBCM策略的执行.策略共包含匝道编队区CAV和主路CAV初始合流时间计算、匝道和主路CAV编队方案制定以及车队头车轨迹规划算法3部分.利用MATLAB构建了高速公路合流仿真环境，实验结果显示，当总交通需求为3 100辆/h时，PBCM策略通过合流点的车辆数和主路平均速度最高分别比现有基于单个匝道和主路车辆协同(SVBCM)的策略提高了50.7%和20.0%,延误降低46.7%.仿真结果验证了PBCM策略在解决高交通需求条件下合流区拥堵问题的有效性，在匝道合流率较大的情况下仍可以维持主路上游较高的行驶速度.更多还原

【Abstract】 To solve the problem of traffic instability and congestions in freeway merging area under the condition of high traffic demand, connected and automated vehicle(CAV) platooning-based cooperative merging(PBCM) strategy was proposed under a fully CAV environment, from the point of improving the capacity of merging area and the coordination of vehicle’s merging process and eliminating merging conflicts. A certain length of platooning area was set up in the upstream ramp section of the merging area. When CAVs in the platooning area were more than a certain number, the implementation of PBCM strategy was triggered. The strategy includes three parts: the calculation of initial merging time and sequence of CAVs in platooning area and CAVs on mainline, the formulation of CAV platooning scheme of mainline and ramp, and the trajectory planning algorithm for the leaders of platoons. The simulation environment of freeway merging was built by MATLAB. The simulation results show that when the total traffic demand is 3 100 veh/h, the number of vehicles passing through the merging point and the average speed of the mainline of PBCM strategy are 50.7% and 20.0% higher than the existing single vehicle based cooperative merging(SVBCM) strategy, respectively, while the delay is decreased by 46.7%. The simulation results verify the effectiveness of the PBCM strategy in solving the congestion problem in the merging area under the condition of high traffic demand, and the strategy can maintain a higher speed in the upstream of the mainline with a large merging rate of ramp vehicles.更多还原