交通诱导策略自动生成及辅助决策系统研究

发布时间：2018-06-21 00:13

本文选题：交通诱导策略 + 数据挖掘　；参考：《北京交通大学》2014年硕士论文

【摘要】：摘要：智能交通系统(ITS)已被公认为解决城市交通拥堵问题的根本措施。交通诱导系统(TGS)作为ITS的重要组成部分之一,它通过诱导交通流促其在使整个路网达到新的均衡状态,进而可以缓解交通拥堵、降低交通事故、减少交通污染。交通诱导装置作为交通诱导系统的物理基础,对其研发无疑具有重要意义。为此,论文详细介绍了诱导策略的自动生成算法,以及交通诱导辅助决策系统的研发框架与流程。该系统基于相关算法可以自动生成策略,并且能够给出对比决策,显示在GIS地图上。本文主要完成了以下工作： (1)对于诱导策略的生成与发布的相关算法和模型进行了研究,描述了数据挖掘算法中的聚类和ORAR算法,将BP神经网络和遗传算法进行结合,互相补充提高了算法效果。研究了诱导信息的空间发布,以及时间差异化发布方法。 (2)在针对诱导策略发布算法的研究中,首先采用基于关联代数的数据挖掘算法ORAR来对历史发布数据库进行再分析和利用,并针对ORAR算法应用到计算机提出了矩阵输入的优化,得到了更好的基于经验的发布时空策略；另外,利用GABP神经网络算法对于交通量进行预测,结合实时路况得到了可以进行对比分析和辅助决策的发布策略。可以由辅助决策子系统直观地显示出来,更好地辅助管理人员。 (3)开发设计了基于GIS的交通诱导辅助决策系统,系统以VMS及发布信息相关资料为背景,结合道路交通状况,利用GIS的可视化和空间信息处理技术,综合计算机软件技术和交通工程学理论,有效集成并应用于北京市的交通网络化智能诱导控制系统,最终实现诱导策略生成和辅助决策的功能。 (4)在考虑诱导系统的主要功能的基础上,从应用角度出发,开发与构建了路网数据库,设计了交通诱导系统的框架与结构,并且编程实现了GIS系统。
[Abstract]:Abstract: intelligent Transportation system (its) has been recognized as the fundamental measure to solve the problem of urban traffic congestion. As one of the important components of its, Traffic guidance system (TGSS) can help the whole road network to reach a new equilibrium by inducing traffic flow, which can alleviate traffic congestion, reduce traffic accidents and reduce traffic pollution. As the physical foundation of traffic guidance system, traffic guidance device is of great significance to its research and development. Therefore, this paper introduces the automatic generation algorithm of induction strategy, and the research and development framework and flow chart of traffic guidance assistant decision system in detail. The system can automatically generate the strategy based on the correlation algorithm, and can give the contrast decision, which can be displayed on the GIS map. The main work of this paper is as follows: (1) the algorithms and models related to the generation and release of induction strategies are studied, and the clustering and ORAR algorithms in data mining algorithms are described. BP neural network and genetic algorithm are combined to improve the effectiveness of the algorithm. In this paper, the spatial distribution of induced information and the time difference publishing method are studied. Firstly, ORAR, a data mining algorithm based on association algebra, is used to reanalyze and utilize the historical publishing database, and the matrix input optimization is proposed for the application of the ORAR algorithm to the computer, and a better spatio-temporal strategy based on experience is obtained. In addition, the GABP neural network algorithm is used to predict the traffic volume and the real-time traffic conditions are combined to obtain the release strategy which can be compared and analyzed and can be used to assist decision making. It can be displayed intuitively by the auxiliary decision subsystem, and can better assist the manager. The system has developed and designed the traffic guidance assistant decision system based on GIS. The system is based on VMS and related information. Combined with road traffic condition, GIS visualization and spatial information processing technology, computer software technology and traffic engineering theory are used to effectively integrate and apply traffic network intelligent induction control system in Beijing. Finally, the function of inducing strategy generation and assistant decision making is realized. On the basis of considering the main functions of the induction system, the road network database is developed and constructed from the point of view of application, and the frame and structure of the traffic guidance system are designed. And realized the GIS system by programming.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U495

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