车路协同系统仿真信息多分辨率交互方法

Multi-resolution Information Exchange Method in Cooperation Vehicle-Infrastructure System

车路协同系统仿真研究对于交通系统的发展具有重要的意义.为了研究车路协同系统的仿真关键技术并构建车路协同系统仿真平台,本文提出信息多分辨率交互方法解决基于HLA的系统仿真过程中的网络拥塞问题,建立了高分辨率车辆行驶状态信息模型、中分辨率车队状态信息模型、低分辨率交通流信息模型,运用聚合解聚法实现不同信息分辨率间的仿真过程,采用模糊预测发送缓冲区信息排队长度方法确定多分辨率模型间的聚合解聚时机.通过仿真管理器联邦成员的运行结果分析表明,该方法能够有效减少系统属性吞吐量,从而较好控制网络拥塞,降低系统属性延时,提高仿真效率.

Research of cooperation vehicle-infrastructure system （CVIS） is a great significance for the transportation system development. In order to study the CVIS simulation’s key technology and build up the simulation platform, multi-resolution information interaction method is presented to solve the network congestion problems based on HLA when simulation, a high-resolution information model of vehicle running state, a middle-resolution information model of fleet status and a-low resolution model of traffic flow are established. The simulation of multi-resolution information interaction is achieved by aggregation and disaggregation method, while the time of aggregation and disaggregation determined by queue length of buffer which transmitted from fuzzy prediction. The analysis shows that the method can effectively reduce the system properties throughput by the results of the simulation manager federate, so as to better control network congestion and decline the delay of system properties, it can also improve the CVIS simulation efficiency.