城市轨道交通枢纽流线费用模型研究
发布时间：2018-12-28 08:07
【摘要】：城市轨道交通是解决城市交通问题的重要方式,近年来取得了较快的发展,已成为区域一体化交通网络的组成部分,实现了城市客流的迅速集散与换乘,提高了城市交通网络的整体运行效率、服务水平。但由于城市轨道交通运量增长过快,城市轨道交通枢纽的通道、楼梯、节点等基础设施设计考虑的欠缺,出现了城市轨道交通枢纽行人流线混乱,换乘距离过长等现象,影响了枢纽的运营效率。因此对行人动态行为特征与枢纽设施的适应性进行研究,归纳行人在枢纽内的行为规律,并以此为根据进行枢纽流线优化,有助于缩短行人的出行时间,提高枢纽的运营效率。 本文以城市轨道交通枢纽流线费用为研究对象,根据行人在枢纽内的行为特征,研究行人通过不同基础设施时所需要的时间。将通过通道、步行楼梯、自动扶梯等设施的时间定义为路段费用,通过通道交叉点、客流集散点等处的时间定义为节点费用,根据行人在枢纽内的走行特征,分别建立了路段费用和节点费用模型。论文主要做了以下工作： (1)对比分析城市轨道交通枢纽交通调查方法的优缺点及适应性,采用人工跟随调查的方法,对北京地铁西直门站进行了交通调查,并根据调查数据,建立了以BPR函数为基础的枢纽内行人路段费用模型。 (2)对比分析主要行人微观仿真模型的特点,选取基于社会力模型的Anylogic软件对枢纽节点进行仿真。通过对行人的微观行为多个方案的仿真,利用统计学原理,分析行人宏观交通流特性。根据交通组织形式的不同,将产生流线相交的枢纽节点分成3类7种,分别对每种枢纽节点组织形式进行仿真,得出行人在不同节点组织形式的下通行能力、节点延误及走行时间规律,以此为基础建立枢纽内的节点费用模型。 (3)将路段费用模型与节点费模型应用于城市轨道交通枢纽流线优化模型中,并以某市地铁换乘站为例,对模型进行了算例验证,验证了费用模型的有效性。
[Abstract]:Urban rail transit is an important way to solve urban traffic problems. It has made rapid development in recent years and has become a part of regional integrated transportation network. It has realized the rapid distribution and transfer of urban passenger flow. The whole operation efficiency and service level of urban transportation network are improved. However, due to the rapid growth of urban rail transit volume and the lack of consideration in the design of infrastructure such as corridors, staircases and nodes of urban rail transit hubs, the pedestrian flow lines of urban rail transit hubs are chaotic, and the transfer distance is too long. Affected the operational efficiency of the hub. Therefore, the characteristics of pedestrian dynamic behavior and the adaptability of the hub facilities are studied, and the pedestrian behavior in the hub is summarized, and based on this, the optimization of the hub streamline is helpful to shorten the pedestrian travel time and improve the operational efficiency of the hub. In this paper, based on the characteristics of pedestrian behavior in urban rail transit hub, the time required for pedestrians to pass through different infrastructure is studied. The time of passage, walking stairs, escalators and other facilities is defined as the link cost, and the time of passing through the crossing point, the passenger flow distribution point, etc., is defined as the node cost, according to the pedestrian travel characteristics in the hub, The model of link cost and node cost are established respectively. The main work of this paper is as follows: (1) comparing and analyzing the advantages and disadvantages and adaptability of urban rail transit hub traffic survey methods, using the method of artificial follow investigation, the Beijing Metro Xizhimen Station traffic survey, Based on the investigation data, the cost model of pedestrian section is established based on BPR function. (2) comparing and analyzing the characteristics of the main pedestrian micro simulation model, Anylogic software based on social force model is selected to simulate the hub node. Based on the simulation of several schemes of pedestrian's microscopic behavior, the characteristics of pedestrian's macroscopic traffic flow are analyzed by using the principle of statistics. According to the different forms of traffic organization, the junction nodes that produce streamline intersection are divided into 3 types and 7 types, and each kind of node organization is simulated, and the capacity of pedestrians under different node organization forms is obtained. Based on the rules of node delay and travel time, the node cost model in the hub is established. (3) the section cost model and the node fee model are applied to the streamline optimization model of the urban rail transit hub, and the example of a city subway transfer station is given to verify the validity of the cost model.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：F572;U239.5
本文编号：2393710
[Abstract]:Urban rail transit is an important way to solve urban traffic problems. It has made rapid development in recent years and has become a part of regional integrated transportation network. It has realized the rapid distribution and transfer of urban passenger flow. The whole operation efficiency and service level of urban transportation network are improved. However, due to the rapid growth of urban rail transit volume and the lack of consideration in the design of infrastructure such as corridors, staircases and nodes of urban rail transit hubs, the pedestrian flow lines of urban rail transit hubs are chaotic, and the transfer distance is too long. Affected the operational efficiency of the hub. Therefore, the characteristics of pedestrian dynamic behavior and the adaptability of the hub facilities are studied, and the pedestrian behavior in the hub is summarized, and based on this, the optimization of the hub streamline is helpful to shorten the pedestrian travel time and improve the operational efficiency of the hub. In this paper, based on the characteristics of pedestrian behavior in urban rail transit hub, the time required for pedestrians to pass through different infrastructure is studied. The time of passage, walking stairs, escalators and other facilities is defined as the link cost, and the time of passing through the crossing point, the passenger flow distribution point, etc., is defined as the node cost, according to the pedestrian travel characteristics in the hub, The model of link cost and node cost are established respectively. The main work of this paper is as follows: (1) comparing and analyzing the advantages and disadvantages and adaptability of urban rail transit hub traffic survey methods, using the method of artificial follow investigation, the Beijing Metro Xizhimen Station traffic survey, Based on the investigation data, the cost model of pedestrian section is established based on BPR function. (2) comparing and analyzing the characteristics of the main pedestrian micro simulation model, Anylogic software based on social force model is selected to simulate the hub node. Based on the simulation of several schemes of pedestrian's microscopic behavior, the characteristics of pedestrian's macroscopic traffic flow are analyzed by using the principle of statistics. According to the different forms of traffic organization, the junction nodes that produce streamline intersection are divided into 3 types and 7 types, and each kind of node organization is simulated, and the capacity of pedestrians under different node organization forms is obtained. Based on the rules of node delay and travel time, the node cost model in the hub is established. (3) the section cost model and the node fee model are applied to the streamline optimization model of the urban rail transit hub, and the example of a city subway transfer station is given to verify the validity of the cost model.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：F572;U239.5
【引证文献】
相关硕士学位论文 前1条
1 尹玉龙;地铁车站超大客流流线设计与优化[D];西南交通大学;2013年
，本文编号：2393710
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