中观交通模型的生成与拓展分析研究

发布时间：2018-12-29 16:25

【摘要】：智能运输系统(ITS)是未来交通的发展方向,仿真技术是研究交通系统的有效手段,城市交通仿真模型的成功搭建可为交通方案与决策提供测试与评价平台,对城市交通规划具有强有力的支撑作用。城市道路交通流是一种复杂的网络交通流,且城市用地资源相对有限,传统的宏观需求预测模型已无法满足交通规划与管理的精细化要求,因此有必要建立满足精细化设计要求的交通模型。本文首先对比了宏观、微观以及中观交通仿真技术的优缺点,在此基础上阐述了中观交通模型的优势,引出搭建城市道路交通中观仿真模型的重要性。本文提出基于宏观继承法的中观交通模型建立方法与步骤,从Cube Voyager平台下的西安城市交通模型中提取出中观子区模型,结合西安高新区的交通实测数据对模型的精度进行校核,而后借助宏观静态OD矩阵拆分的方法将其应用到Cube Avenue中观动态仿真平台上,使得研究区域具有宏观和中观两套评价体系,实现“静态动态分配互相结合、宏观中观模型相互支撑”的灵活中观交通模型技术方法,一定层面上削弱了因平台差异性带来的建模难度,更加贴近交通实际。本文最后将宏观和中观指标进行横向比较,并对基于中观交通模型的交通方案进行拓展分析,既体现了中观模型的优势又指出其在方案测试方面的实用性。研究成果建立了中观动态交通分配模型,提高了中观模型建模的系统性和连续性,弥补了宏观静态模型对现状交通运行特征反映不足的缺点,使得模型分析结果更直观,与现状结合更为紧密,实现了交通方案微观指标的量化评估,为支持精细化交通设计方案决策提供了一定参考。
[Abstract]:Intelligent Transportation system (ITS) is the development direction of traffic in the future. Simulation technology is an effective means to study traffic system. The successful construction of urban traffic simulation model can provide a platform for testing and evaluation of traffic plan and decision. Urban traffic planning has a strong support role. Urban road traffic flow is a complex network traffic flow, and urban land resources are relatively limited, the traditional macro-demand forecasting model can not meet the fine requirements of traffic planning and management. Therefore, it is necessary to establish a traffic model that meets the requirements of fine design. In this paper, the advantages and disadvantages of macro, micro and meso traffic simulation techniques are compared. Based on this, the advantages of meso traffic model are expounded, and the importance of building mesoscopic simulation model of urban road traffic is brought forward. In this paper, the method and steps of establishing mesoscopic traffic model based on macroscopic inheritance method are put forward. The mesoscopic sub-zone model is extracted from Xi'an urban traffic model based on Cube Voyager platform, and the accuracy of the model is checked with the traffic measurement data of Xi'an High-tech Zone. Then it is applied to the Cube Avenue mesoscopic dynamic simulation platform with the help of the method of macro static OD matrix splitting, which makes the research area have two sets of evaluation systems: macroscopic and mesoscopic, and realize the combination of static and dynamic distribution. The technical method of flexible meso-traffic model, which supports each other, weakens the difficulty of modeling caused by the platform difference, and is closer to the traffic reality. Finally, the macro and mesoscopic indexes are compared horizontally, and the traffic scheme based on mesoscopic traffic model is expanded and analyzed, which not only embodies the advantages of meso model but also points out its practicability in scheme testing. The research results establish the mesoscopic dynamic traffic assignment model, improve the systematization and continuity of the meso-model modeling, make up for the shortcomings of the macroscopic static model to reflect the current traffic operation characteristics, and make the model analysis results more intuitive. Combined with the present situation more closely, the quantitative evaluation of traffic scheme micro-index is realized, which provides a certain reference for supporting the detailed traffic design scheme decision.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U491

【参考文献】