[1]李曼,王艳辉,晋君,等.基于路网客流模态的城市轨道交通网络拥堵演变机理[J].东南大学学报(自然科学版),2017,47(2):404-409.[doi:10.3969/j.issn.1001-0505.2017.02.033]
 Li Man,Wang Yanhui,Jin Jun,et al.Network congestion evolution law of urban rail transit based on network passenger flow mode[J].Journal of Southeast University (Natural Science Edition),2017,47(2):404-409.[doi:10.3969/j.issn.1001-0505.2017.02.033]
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基于路网客流模态的城市轨道交通网络拥堵演变机理()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
47
期数:
2017年第2期
页码:
404-409
栏目:
安全科学
出版日期:
2017-03-20

文章信息/Info

Title:
Network congestion evolution law of urban rail transit based on network passenger flow mode
作者:
李曼王艳辉晋君贾利民
1北京交通大学轨道交通控制与安全国家重点实验室, 北京 100044; 2北京交通大学交通运输学院, 北京 100044
Author(s):
Li Man Wang Yanhui Jin Jun Jia Limin
1State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
2School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
关键词:
城市轨道交通 客流模态 客流场强 拥堵演变 元胞自动机模型
Keywords:
urban rail transit passenger flow mode passenger flow field strength congestion evolution cellular automata model
分类号:
X913.4
DOI:
10.3969/j.issn.1001-0505.2017.02.033
摘要:
为描述客流负荷状态及拥堵演变规律,基于客流梯度概念提出了路网客流模态概念及其物理特征描述,包括自由模态、拥堵模态和拥堵消散模态.采用客流场强的计算公式来估算下车客流比例,将车站客流负荷指数和区段客流负荷指数作为点拥堵的关键参数,计算路网客流模态值.提出成网运营条件下的客流交换关键参数,并构建基于元胞自动机模型的客流拥堵动态演变模型,研究路网客流拥堵的动态传播与演变规律,分析路网客流群体行为演化机理.以北京市部分城市轨道交通路网为例,基于客流实际调查数据,通过调整上车客流比例,利用MATLAB软件对不同时刻的路网客流模态值进行仿真计算.结果表明,不同时段内路网客流处于不同模态,从而验证了路网客流模态的物理特征.
Abstract:
To describe the passenger load state and the congestion evolution law, the concept and physical characteristics of the network passenger flow mode are presented based on the concept of the passenger flow gradient, including the free mode, the congestion mode and the congestion dissipation mode. The calculation formula of the passenger flow field strength is used to estimate the alighting ratio. The passenger load index of the platform and the passenger load index of the segment are chosen as the key parameters of the point congestion, and the values of the network passenger flow mode are calculated. The key parameters of passenger flow exchange under the condition of network operation are proposed,and the dynamic evolution model of the passenger flow based on cellular automata is established to study the dynamic propagation and evolution law of the network passenger flow and describe the evolution mechanism of the group behavior of the network passenger flow. Taking part of Beijing subway network as an example, based on the actual survey data of the passenger flow, the network mode value at different times are simulated by MATLAB through adjusting the boarding ratio. The results show that different modes of the network passenger flow are presented at different time and therefore the physical characteristics are verified.

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备注/Memo

备注/Memo:
收稿日期: 2016-07-31.
作者简介: 李曼(1986—),女,博士生;贾利民(联系人),男,博士,教授,博士生导师,jialm@vip.sina.com.
基金项目: “十三五”国家重点研发计划资助项目(2016YFB1200402).
引用本文: 李曼,王艳辉,晋君,等.基于路网客流模态的城市轨道交通网络拥堵演变机理[J].东南大学学报(自然科学版),2017,47(2):404-409. DOI:10.3969/j.issn.1001-0505.2017.02.033.
更新日期/Last Update: 2017-03-20