基于物联网的城市轨道交通客流特征分析系统的设计与实现

发布时间：2018-01-06 22:22

本文关键词：基于物联网的城市轨道交通客流特征分析系统的设计与实现　出处：《北京交通大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着城市现代化建设的快速发展,城市轨道交通正逐步全面进入网络化运营时代。在大幅提升交通运力和出行便利的同时,也给运营调度带来了新的问题和挑战。在网络化运营及“无缝换乘”的条件下,乘客出行路径更加呈现多样性,客流在时间和空间分布的不均衡性也愈加凸显。一方面,这会形成周期性的客流拥堵现象,增加了运营安全风险；另一方面,也会造成无法充分利用轨道交通运输能力,降低了网络运营效率。因此从运营数据角度深入分析城市轨道交通客流特征,有助于运营部门准确把握网络客流规律和运营工作部署,也为全路网客流预测等研究提供了参考。针对上述问题,本文以北京地铁AFC系统采集的交易数据和北京地铁TCC系统提供的历史客流统计表为基础,结合北京轨道列车运行图,设计并实现了一套基于物联网的城市轨道交通客流特征分析系统。论文首先总结了物联网和客流特征分析的国内外研究现状,说明论文研究工作重点。然后介绍了城市轨道交通客流预测方法、物联网技术和遗传程序设计,为系统设计与实现做好理论铺垫。其次分别从逻辑架构、功能架构和物理架构三方面进行系统总体设计,并就数据采集、数据准备、客流统计、客流分析、客流展示和客流实时预测这几个关键点展开详细设计,其中着重论述了引入遗传程序设计方法进行预测的研究过程。最后采用以J2EE为技术平台的B/S开发模式完成系统的主要软件模块的实现和测试,并对论文工作进行了总结和展望。
[Abstract]:With the rapid development of urban modernization, urban rail transit is gradually entering the era of network operation. It also brings new problems and challenges to operation scheduling. Under the condition of network operation and "seamless transfer", passenger travel paths are more diversified. The imbalance of passenger flow in time and space is becoming more and more prominent. On the one hand, it will form periodic congestion phenomenon and increase the risk of operation safety. On the other hand, it can not make full use of the capacity of rail transit and reduce the efficiency of network operation. Therefore, the characteristics of urban rail transit passenger flow are deeply analyzed from the point of view of operation data. It is helpful for the operation department to grasp the rules of network passenger flow and the operational arrangement, and also provides a reference for the research of the whole network passenger flow prediction. In view of the above problems, this paper based on the transaction data collected by the Beijing Metro AFC system and the historical passenger flow statistical table provided by the Beijing Metro TCC system, combined with the Beijing Rail Train Operation Diagram. Design and implement a set of urban rail transit passenger flow characteristics analysis system based on the Internet of things. Firstly, this paper summarizes the domestic and foreign research status of the Internet of things and passenger flow characteristics analysis. Explain the focus of the paper. Then introduced the urban rail transit passenger flow prediction method, the Internet of things technology and genetic programming, for the system design and implementation of the theoretical groundwork. Secondly, from the logical framework. Function architecture and physical architecture of the system overall design, and data acquisition, data preparation, passenger flow statistics, passenger flow analysis, passenger flow display and real-time passenger flow prediction of these key points to launch a detailed design. This paper mainly discusses the research process of introducing genetic programming method to predict. Finally, the main software modules of the system are implemented and tested by using the B / S development mode based on J2EE as the technology platform. The work of this paper is summarized and prospected.
【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】：TP391.44;TN929.5

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