车路协同系统一体化仿真实验平台
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摘要
车路协同系统是未来智能交通系统技术发展的核心,从建设车路协同系统实验平台的需求分析入手,简述了分别考虑交通流影响和通讯性能影响的车路协同环境下一体化实验平台开发的目标和功能需求,并对仿真实验平台的三种方案(即基于简化通讯模型的仿真实验平台、基于交通/通讯仿真器松耦合的仿真实验平台、基于交通/通讯仿真器紧耦合的仿真实验平台)进行了对比分析,确定基于交通/通讯仿真器紧耦合的仿真实验平台为推荐方案,并以此为基础研究了基于高层体系架构(High Level of Architecture,HLA)仿真建模思想,通过整合VISSIM与NS2,实现仿真时间管理、跨平台数据交互、联邦成员互操作、仿真进程控制、应用策略灵活集成等一体化实验平台主要功能。最后以车路协同环境下交叉口速度引导为例进行了实验说明,验证了一体化实验平台的有效性。
The connected vehicle system( CVS) is the core of the intelligent transportation systems in the future. Based on the requirements analysis of CVS simulation experimental platform which considered the interaction of traffic flow simulation( TFS) and communication network simulation( CNS),objectives and functions of CVS were discussed. Three construction schemes( i. e. the CVS simulation platform base on the simplified communication model,the CVS simulation platform base on loose-coupling of TFS and CNS,the CVS simulation platform base on integrated-coupling of TFS and CNS) were compared from different aspects,and the development framework and application were put forward based on the high level of architecture scheme. The key technologies,including the simulation time management, interaction of cross-platform,the interoperation of the federal members,the control of simulation process,the application strategies integration,were programmed to implement the integrated platform. Finally,the speed guidance case study under CVS was given to demonstrate the validity of the integrated experiments platform.
The connected vehicle system( CVS) is the core of the intelligent transportation systems in the future. Based on the requirements analysis of CVS simulation experimental platform which considered the interaction of traffic flow simulation( TFS) and communication network simulation( CNS),objectives and functions of CVS were discussed. Three construction schemes( i. e. the CVS simulation platform base on the simplified communication model,the CVS simulation platform base on loose-coupling of TFS and CNS,the CVS simulation platform base on integrated-coupling of TFS and CNS) were compared from different aspects,and the development framework and application were put forward based on the high level of architecture scheme. The key technologies,including the simulation time management, interaction of cross-platform,the interoperation of the federal members,the control of simulation process,the application strategies integration,were programmed to implement the integrated platform. Finally,the speed guidance case study under CVS was given to demonstrate the validity of the integrated experiments platform.
引文
[1]Intelligent Transportation Systems,United States Department of Transportation.Five-year ITS Program Plan-PART II:The ITS Research:Initiatives,Programs,and Related Research[EB/OL].http://www.itsdocs.fhwa.dot.gov/JPODOCS/REPTS_TE/14289/plan2-5.htm.
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[3]Shenyang Chen,Jian Sun,Jing Yao.Development and Simulation Application of a Dynamic Speed Dynamic Signal Strategy for Arterial Traffic Management[C]//The 14th International IEEE Conference on ITS.Washington,DC,USA.2011.Pp:1349-1356.
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[2]肖玲,李仁发,罗娟.车载自组网的仿真研究综述[J].系统仿真学报,2009,21(17):5330-5335.XIAO Ling,LI Ren-fa,LUO Juan.Simulation of vehicular Ad Hoc networks:a survey[J].Journal of System Simulation,2009,21(17):5330-5335.
[3]Shenyang Chen,Jian Sun,Jing Yao.Development and Simulation Application of a Dynamic Speed Dynamic Signal Strategy for Arterial Traffic Management[C]//The 14th International IEEE Conference on ITS.Washington,DC,USA.2011.Pp:1349-1356.
[4]PTV A G.VISSIM 5.20 User Manual[M].Karlsruhe,Germany.2009.
[5]方路平.NS-2网络模拟基础与应用[M].北京:国防工业出版社,2008.
[6]Moritz Killat,Felix Schmidt-Eisenlohr,Hannes Hartenstein,Christian Rssel,Peter Vortisch,Silja Assenmacher,Fritz Busch.Enabling efficient and accurate large-scale simulations of VANETs for vehicular traffic management[C]//Proceedings of the fourth ACM International Workshop on Vehicular Ad Hoc Networks(VANET),2007:29-38.
[7]Hema Tanikella,Brian L Smith,Guimin Zhang,et al.Development and evaluation of a vehicle-infrastructure integration simulation architecture[J].Journal of Computing in Civil Engineering.2007,21(6):434-440.
[8]Gustavo Maria,Giovanni Pau,Enzo De Sena,Eugenio Giordano,and Mario Gerla.Evaluating vehicle network strategies for downtown Portland:opportunistic infrastructure and the importance of realistic mobility models[C]//In MobiOpp’07:Proceedings of the 1st International MobiSys Workshop on Mobile Opportunistic Networking.2007:47-51.
[9]Devan Bing Rehunathan,Boon-Chong Seet,and Trung-Tuan Luong.Federating of MITSIMLab and ns-2 for realistic vehicular network simulation[C]//In Mobility’07:Proceedings of the 4th International Conference on Mobile Technology,Applications,and Systems.2007:62-67.
[10]Harri J,Fiore M,Filali F,Bonnet C.Vehicular mobility simulation with VanetMobiSim[J],Simulation;2011.87(4):275-300.
[11]Rieck,D.Schünemann,B.Radusch,I.et al.Efficient traffic simulator coupling in a distributed v2x simulation environment[C]//in:SIMUTools’10:Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques.2010:1-9.