面向智能交通系统的仿真路网快速建模方法
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摘要
提出了一种面向智能交通系统的仿真路网模型,与传统路网模型相比,增强了几何表达和拓扑表达能力,同时其上可附着丰富的交通属性数据,能够满足精细化智能交通仿真的需求。在此基础上,研究了一种路网数据迁移方法,从现有电子地图快速提取并构建面向智能交通系统的道路路网。通过对几何精确性、拓扑完备性和建模高效性的测试表明,该路网模型及其建模方法,提高了交通仿真基础路网建模的效率,降低了建模成本,为智能交通仿真的广泛应用提供了高效、可靠的道路数据来源。
A simulation road network model for intelligent transportation system has been proposed.Compared with the traditional road network model, this model enhances the geometric expression and topological expression ability. At the same time, it can attach rich traffic attribute data to meet the refined needs of intelligent traffic simulation. On this basis, a road network data migration method is studied, which quickly extracts and constructs a road network for intelligent transportation systems from existing electronic maps. Tests on geometric accuracy, topological completeness and modeling efficiency show that the road network model and its modeling method improve the efficiency of traffic simulation basic road network modeling, reduce the modeling cost, and provide an efficient and reliable road data source for the wide application of intelligent traffic simulation.
A simulation road network model for intelligent transportation system has been proposed.Compared with the traditional road network model, this model enhances the geometric expression and topological expression ability. At the same time, it can attach rich traffic attribute data to meet the refined needs of intelligent traffic simulation. On this basis, a road network data migration method is studied, which quickly extracts and constructs a road network for intelligent transportation systems from existing electronic maps. Tests on geometric accuracy, topological completeness and modeling efficiency show that the road network model and its modeling method improve the efficiency of traffic simulation basic road network modeling, reduce the modeling cost, and provide an efficient and reliable road data source for the wide application of intelligent traffic simulation.
引文
[1]陈荣波.智能交通系统理论的研究与实现[D].长春:吉林大学,2004.
[2]ZHAO X,LI Y,XU S S,et al.Modeling a modern tram system integrated with a road traffic simulation[J].Simulation,2018,94(1):77-90.
[3]UGNENKO E,UZHVIEVA E,VORONOVA Y.Simulation of traffic flows on the road network of urban area[J].Procedia Engineering,2016,134:153-156.
[4]LI G L,FENG L,LIU J.Research on urban road network traffic simulation model[C]//14th COTAInternational Conference of Transportation Professionals.New York:IEEE Press,2014:2072-2076.
[5]WANG J,LAWSON G,SHEN Y Z.Automatic high-fidelity 3D road network modeling based on 2DGIS data[J].Advances in Engineering Software,2014,76:86-98.
[6]YANG L Q,ZONG G,LIU Y H.Using O-D estimation in dynamic road network traffic flow simulation[C]//2014 IEEE/ACIS 13th International Conference on Computer and Information Science(ICIS).New York:IEEE Press,2014:441-447.
[7]MAO T L,WANG H,DENG Z G,et al.An efficient lane model for complex traffic simulation[J].Computer Animation and Virtual Worlds,2015,26(3-4):397-403.
[8]HELBING D,HENNECKE A,SHVETSOV V,et al.Micro-and macro-simulation of freeway traffic[J].Mathematical and Computer Modelling,2002,35(5-6):517-547.
[9]毛天露,王华,康星辰,等.复杂路网内大规模车辆运动的仿真[J].计算机学报,2017,40(11):2466-2477.
[10]宋阳阳.基于CAD图的VISSIM路网自动生成方法的研究[D].北京:北京工业大学,2010.
[11]聂佩林,余志,何兆成.基于MapInfo电子地图的Paramics仿真基础路网构建[J].系统仿真学报,2008,20(1):214-217.
[12]黄敏,饶明雷,李敏.面向仿真的车道级基础路网模型及其应用[J].系统仿真学报,2014,26(3):657-661,681.
[2]ZHAO X,LI Y,XU S S,et al.Modeling a modern tram system integrated with a road traffic simulation[J].Simulation,2018,94(1):77-90.
[3]UGNENKO E,UZHVIEVA E,VORONOVA Y.Simulation of traffic flows on the road network of urban area[J].Procedia Engineering,2016,134:153-156.
[4]LI G L,FENG L,LIU J.Research on urban road network traffic simulation model[C]//14th COTAInternational Conference of Transportation Professionals.New York:IEEE Press,2014:2072-2076.
[5]WANG J,LAWSON G,SHEN Y Z.Automatic high-fidelity 3D road network modeling based on 2DGIS data[J].Advances in Engineering Software,2014,76:86-98.
[6]YANG L Q,ZONG G,LIU Y H.Using O-D estimation in dynamic road network traffic flow simulation[C]//2014 IEEE/ACIS 13th International Conference on Computer and Information Science(ICIS).New York:IEEE Press,2014:441-447.
[7]MAO T L,WANG H,DENG Z G,et al.An efficient lane model for complex traffic simulation[J].Computer Animation and Virtual Worlds,2015,26(3-4):397-403.
[8]HELBING D,HENNECKE A,SHVETSOV V,et al.Micro-and macro-simulation of freeway traffic[J].Mathematical and Computer Modelling,2002,35(5-6):517-547.
[9]毛天露,王华,康星辰,等.复杂路网内大规模车辆运动的仿真[J].计算机学报,2017,40(11):2466-2477.
[10]宋阳阳.基于CAD图的VISSIM路网自动生成方法的研究[D].北京:北京工业大学,2010.
[11]聂佩林,余志,何兆成.基于MapInfo电子地图的Paramics仿真基础路网构建[J].系统仿真学报,2008,20(1):214-217.
[12]黄敏,饶明雷,李敏.面向仿真的车道级基础路网模型及其应用[J].系统仿真学报,2014,26(3):657-661,681.
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