交通运输系统工程与信息
交通運輸繫統工程與信息
교통운수계통공정여신식
JOURNAL OF COMMUNICATION AND TRANSPORTATION SYSTEMS ENGINEERING AND INFORMATION
2014年
6期
50-57
,共8页
李四辉%蔡伯根%上官伟%郭科研%刘宇
李四輝%蔡伯根%上官偉%郭科研%劉宇
리사휘%채백근%상관위%곽과연%류우
交通工程%车路协同系统%HLA%多分辨率
交通工程%車路協同繫統%HLA%多分辨率
교통공정%차로협동계통%HLA%다분변솔
traffic engineering%CVIS%HLA%multi-resolution
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。
車路協同繫統倣真研究對于交通繫統的髮展具有重要的意義。為瞭研究車路協同繫統的倣真關鍵技術併構建車路協同繫統倣真平檯,本文提齣信息多分辨率交互方法解決基于HLA的繫統倣真過程中的網絡擁塞問題,建立瞭高分辨率車輛行駛狀態信息模型、中分辨率車隊狀態信息模型、低分辨率交通流信息模型,運用聚閤解聚法實現不同信息分辨率間的倣真過程,採用模糊預測髮送緩遲區信息排隊長度方法確定多分辨率模型間的聚閤解聚時機。通過倣真管理器聯邦成員的運行結果分析錶明,該方法能夠有效減少繫統屬性吞吐量,從而較好控製網絡擁塞,降低繫統屬性延時,提高倣真效率。
차로협동계통방진연구대우교통계통적발전구유중요적의의。위료연구차로협동계통적방진관건기술병구건차로협동계통방진평태,본문제출신식다분변솔교호방법해결기우HLA적계통방진과정중적망락옹새문제,건립료고분변솔차량행사상태신식모형、중분변솔차대상태신식모형、저분변솔교통류신식모형,운용취합해취법실현불동신식분변솔간적방진과정,채용모호예측발송완충구신식배대장도방법학정다분변솔모형간적취합해취시궤。통과방진관리기련방성원적운행결과분석표명,해방법능구유효감소계통속성탄토량,종이교호공제망락옹새,강저계통속성연시,제고방진효솔。
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.