城市轨道交通大型活动客流网络传播规律研究

发布时间：2018-06-17 20:16

本文选题：城市轨道交通 + 大型活动　；参考：《北京交通大学》2016年硕士论文

【摘要】：随着我国经济文化持续发展,城市举办大型活动日益频繁。活动结束后,活动发生地临近地铁车站短时间内会出现巨大客流。为了更加安全、高效地将城市轨道交通大型活动客流从网络中疏运出去,深入研究城市轨道交通大型活动客流在路网中的形成及传播规律具有十分重要的现实意义。本文主要开展了以下研究：第一,全面总结了大型活动的定义、分类及大型活动引发客流的交通特性。阐述了大型活动客流的定义,并分析了城市轨道交通大型活动客流的时间、空间分布特性。第二,深入挖掘实际AFC数据,分析得出大型活动结束后在活动发生地附近地铁车站进站客流的时间分布规律,并统计出路网客流OD分布规律,提出了服从幂律分布特性的客流OD随机化处理方法。第三,运用复杂网络理论并借鉴道路交通流研究成果,阐述了在城市轨道交通大型活动客流网络分配中定义阻抗时考虑留乘因素的重要性,并利用了K-means聚类方法得到网络中易发生拥堵车站节点。第四,针对不同类型乘客特点构建了基于旅行时间、换乘次数、拥挤程度和留乘因素的广义路径费用模型,研究了广度优先的有效路径搜索算法,并改进了传统Logit分配模型,提出了适用于城市轨道交通大型活动客流的动态分配方法;最后给出了大型活动客流网络传播的换乘量、断面客流量等影响指标计算方法。第五,以北京城市轨道交通路网为基础,利用编程语言实现了对大型活动网络客流分配的计算。通过对比算法输出数据与实际统计数据,证明了本文提出模型及算法的有效性和可用性。通过计算大型活动客流网络传播的换乘量、断面量指标,对大型活动影响强度及范围进行了分析,提出了应对大型活动客流网络传播的客流组织方法。
[Abstract]:With the sustainable development of economy and culture in our country, cities hold large-scale activities more and more frequently. After the event, there will be a huge passenger flow near the subway station in a short period of time. In order to be more safe and efficient, it is of great practical significance to study the formation and propagation law of large activity passenger flow of urban rail transit in the road network. The main contents of this paper are as follows: first, the definition, classification and traffic characteristics of large-scale activities are summarized. This paper expounds the definition of large scale activity passenger flow, and analyzes the time and space distribution characteristics of large scale activity passenger flow of urban rail transit. Secondly, the actual AFC data are deeply excavated, and the time distribution law of the incoming passenger flow in the subway station near the site of the event is obtained, and the OD distribution law of the network passenger flow is calculated. In this paper, a method of OD randomization for passenger flow with the distribution characteristic of power law is proposed. Thirdly, using the theory of complex network and using the research results of road traffic flow for reference, the importance of considering the factor of retention in the definition of impedance in the allocation of large scale activity passenger flow network of urban rail transit is expounded. And the K-means clustering method is used to get the station nodes easily congested in the network. Fourthly, according to the characteristics of different types of passengers, a generalized path cost model based on travel time, transfer times, congestion and stay factor is constructed, and an effective path search algorithm with breadth-first is studied, and the traditional logit allocation model is improved. The dynamic distribution method of passenger flow suitable for large scale activities of urban rail transit is put forward, and the calculation method of the influence indexes such as transfer quantity and cross-section passenger flow are given at the end of this paper. Fifth, on the basis of Beijing urban rail transit network, the calculation of passenger flow distribution of large-scale activity network is realized by using programming language. The validity and availability of the proposed model and algorithm are proved by comparing the output data of the algorithm with the actual statistical data. By calculating the transfer quantity and cross section quantity index of large-scale activity passenger flow network propagation, the influence intensity and scope of large-scale activity are analyzed, and the method of passenger flow organization to cope with large-scale activity passenger flow network propagation is put forward.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：U293.13

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