基于手机定位数据的动态OD获取和评价方法研究

发布时间：2018-05-16 06:03

本文选题：手机定位数据 + 地图匹配　；参考：《吉林大学》2017年硕士论文

【摘要】：城市交通问题一直以来困扰着城市规划者和市民,要解决交通问题必须首先了解交通流量的产生,才能从根源上去缓解交通问题。研究交通流的产生,最重要的参考依据就是居民出行OD数据,通过对居民出行OD数据的分析,可以了解出行特征;同时,通过对居民出行OD路线的评价,可以为居民出行提供更好的诱导。居民出行OD数据的获取方式主要是居民出行OD调查,传统的OD调查方式包括人工询问和表格调查的方法,该类方法需要耗费大量的人力物力,但是数据精度却不高;更为现代化的调查方式如微波检测法、地感应线圈法、视频图像检测法、GPS浮动车法等,又受到设备的限制,难以有效推广。随着移动通讯技术的迅速发展,手机的快速普及,使得基于手机定位的海量数据的获取成为可能,因此,本文研究基于手机定位数据的居民出行OD路线评价及OD矩阵的获取技术。文章在第一章介绍了国内外基于手机定位数据应用于居民出行OD调查的研究。第二章介绍了目前移动通讯技术的发展现状,以及对手机定位的数据的预处理方法。第三章介绍了基于手机定位数据的动态OD路线评价技术,首先利用隐马尔可夫模型,将获取的手机定位数据进行地图匹配,以获取居民出行的具体路线信息;然后基于不确定多属性决策方法,对该OD路线与其他相似路径作对比评价,从而得出最佳出行路径。第四章介绍了基于手机定位数据的动态OD矩阵获取技术,首先基于“时间-空间”双层聚类法对手机定位点进行聚类,从而得到居民出行的停留点;然后基于K-Means算法进行交通小区划分,结合居民出行停留点信息以及小区划分结果,计算居民出行的OD矩阵。第五章对本文章的研究内容作了总结,并提出了对未来研究的展望。
[Abstract]:Urban traffic problems have been puzzling urban planners and citizens. To solve traffic problems, we must first understand the generation of traffic flow, in order to alleviate traffic problems from the root. The most important reference basis for studying the generation of traffic flow is the residents travel OD data, through the analysis of the residents travel OD data, we can understand the travel characteristics; at the same time, through the residents travel OD route evaluation, It can provide better guidance for residents to travel. Residents travel OD data acquisition method is mainly residents travel OD survey, the traditional OD survey methods include manual inquiry and table survey methods, this method needs a lot of manpower and material resources, but the data accuracy is not high; More modern investigation methods, such as microwave detection method, ground induction coil method, video image detection method and GPS floating vehicle method, are limited by equipment, so it is difficult to promote effectively. With the rapid development of mobile communication technology and the rapid popularization of mobile phones, it is possible to obtain massive data based on mobile location. This paper studies the OD route evaluation and OD matrix acquisition technology based on mobile location data. In the first chapter, the paper introduces the research of OD survey based on mobile phone location data at home and abroad. The second chapter introduces the development of mobile communication technology and the preprocessing method of mobile phone positioning data. The third chapter introduces the dynamic OD route evaluation technology based on mobile phone location data. Firstly, by using hidden Markov model, map matching of mobile phone location data is carried out to obtain the specific route information of residents. Then, based on the uncertain multi-attribute decision method, the OD path is compared with other similar paths, and the optimal travel path is obtained. The fourth chapter introduces the dynamic OD matrix acquisition technology based on mobile phone location data. Firstly, the mobile phone location points are clustered based on the "time-space" two-layer clustering method, and the resident travel stay points are obtained. Then based on the K-Means algorithm, the OD matrix of the resident travel is calculated by combining the resident stopping point information and the result of the cell partition. The fifth chapter summarizes the research content of this article, and puts forward the prospect of future research.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U491;TN929.53

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