[1]罗钦,林彬,顾孟琪,等.基于时间成本的城轨列车跨线开行方案建模[J].深圳大学学报理工版,2022,39(5):600-607.[doi:10.3724/SP.J.1249.2022.05600]
 LUO Qin,LIN Bin,GU Mengqi,et al.Modeling of cross line operation of urban rail transit trains based on passenger travel time[J].Journal of Shenzhen University Science and Engineering,2022,39(5):600-607.[doi:10.3724/SP.J.1249.2022.05600]
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基于时间成本的城轨列车跨线开行方案建模()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第39卷
期数:
2022年第5期
页码:
600-607
栏目:
交通物流
出版日期:
2022-09-16

文章信息/Info

Title:
Modeling of cross line operation of urban rail transit trains based on passenger travel time
文章编号:
202205015
作者:
罗钦1 林彬1 顾孟琪2 杨良2 张晓春2
1)深圳技术大学城市交通与物流学院,广东省高校轨道交通智慧运维工程技术开发中心,广东深圳 518118
2)深圳市城市交通规划设计研究中心股份有限公司,广东深圳 518057
Author(s):
LUO Qin1 LIN Bin1 GU Mengqi2 YANG Liang2 and ZHANG Xiaochun2
1) College of Urban Transportation and Logistics, Shenzhen Technology University, Guangdong Rail Transit Intelligent Operation and Maintenance Technology Development Center, Shenzhen 518118, Guangdong Province, P. R. China
2) Shenzhen Urban Transport Planning Center Co. Ltd., Shenzhen 518057, Guangdong Province, P. R. China
关键词:
城市轨道交通运营组织跨线运营行车间隔换乘客流出行时间遗传算法
Keywords:
urban rail transit operation organization cross line operation train interval transfer ridership travel time genetic algorithm
分类号:
U292.4
DOI:
10.3724/SP.J.1249.2022.05600
文献标志码:
A
摘要:
城市轨道交通跨线运营不仅可以满足多元化的乘客出行需求,提升乘客出行效率,还可以拉近市郊与市区核心地段在时间与空间上的距离.在考虑跨线乘客的列车选择概率基础上,分析不同类别的乘客出行时间成本,构建以乘客总出行时间成本最小为目标的跨线运营优化模型,并采用遗传算法进行模型求解.以S市地铁Ⅰ号线跨入Ⅱ号线的方案为例,验证模型的可行性,求解得到不同列车满载率下的最优行车密度,为城市轨道交通线网实现跨线运营组织提供参考依据.
Abstract:
Cross line operation mode of urban rail transit can not only meet diversified travel needs of passengers and improve efficiency of passenger travel, but also shorten the time and space distance between suburban and urban core areas. In this paper, the travel time cost of different types of passengers is analyzed on the basis of considering the train selection probability for passengers to choose cross train or transfer. An optimization model of cross line operation organization is established with the objective function of minimizing the total travel time cost of passengers. The model is solved by genetic algorithm. The scheme of metro Line Ⅰ of city S crossing into Line Ⅱ is used as an example to verify the feasibility of the model, and the optimal train density under different train load rates is obtained. This study can provide a reference for the cross line operation organization of urban rail transit.

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备注/Memo

备注/Memo:
Received: 2021-04-28; Accepted: 2021-10-08; Online (CNKI): 2022-04-13
Foundation: National Social Science Foundation of China (20BGL301)
Corresponding author: Professor ZHANG Xiaochun.E-mail: zxc@sutpc.com
Citation: LUO Qin, LIN Bin, GU Mengqi, et al. Modeling of cross line operation of urban rail transit trains based on passenger travel time [J]. Journal of Shenzhen University Science and Engineering, 2022, 39(5): 600-607.(in Chinese)
基金项目:国家社会科学基金资助项目(20BGL301)
作者简介:罗钦(1982—),深圳技术大学教授.研究方向:轨道交通运营管理.E-mail: luoqin@sztu.edu.cn
引文:罗钦,林彬,顾孟琪,等.基于时间成本的城轨列车跨线开行方案建模[J].深圳大学学报理工版,2022,39(5):600-607.
更新日期/Last Update: 2022-09-30