[1]李伟,等.基于多层灰色关联的地铁列车运行图综合评价[J].深圳大学学报理工版,2019,36(6):682-688.[doi:10.3724/SP.J.1249.2019.06682]
　LI Wei,YANG Yongtai,et al.Comprehensive evaluation of train schedule on urban rail network based on grey correlated analysis[J].Journal of Shenzhen University Science and Engineering,2019,36(6):682-688.[doi:10.3724/SP.J.1249.2019.06682]
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基于多层灰色关联的地铁列车运行图综合评价()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第36卷
期数:
2019年第6期
页码:
682-688
栏目:
交通物流
出版日期:
2019-11-20

文章信息/Info

Title:
Comprehensive evaluation of train schedule on urban rail network based on grey correlated analysis
文章编号:
201906013
作者:
李伟1;  2; 杨永泰3; 罗钦2
1) 深圳大学物理与光电工程学院，光电子器件与系统教育部/广东省重点实验室，广东深圳 518060； 2) 深圳技术大学城市交通与物流学院，广东深圳 518060； 3) 深圳大学深圳市城市轨道交通重点实验室，广东深圳 518060
Author(s):
LI Wei1;  2;  YANG Yongtai3;  and LUO Qin2
1) College of Physics and Optoelectronic Engineering, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, Shenzhen University, Shenzhen 518060, Guangdong Province, P.R.China 2) College of Urban Traffic and Logistics, Shenzhen Technology University, Shenzhen 518118, Guangdong Province, P.R.China 3) Shenzhen Key Laboratory of Urban Rail Transit, Shenzhen University, Shenzhen 518060, Guangdong Province, P.R.China
关键词:
城市轨道交通; 列车运行图; 客流; 层次分析法; 综合评估; 灰色关联分析
Keywords:
urban rail transit;  train schedule;  passenger flow;  analytic hierarchy process;  comprehensive evaluation;  grey correlated analysis
分类号:
U292.4
DOI:
10.3724/SP.J.1249.2019.06682
文献标志码:
A
摘要:
列车运行图是城市轨道交通各部门工作人员相互配合协调行车组织工作的基础和依据，其编制质量的高低直接影响运输组织工作的效率和安全可靠性．采用专家咨询法对列车运行图的相关指标进行筛选，从基础运行指标、服务质量、鲁棒性、可调整性及运行效果5个方面，构建城市轨道交通列车运行图综合评估的指标体系；采用层次分析法构建多层次评估体系，建立灰色综合评估模型，并确定各层次指标的权重和计算灰色关联系数，确定各评估方案的灰色关联度来实现列车运行图编制质量的综合评估及方案选优．最后以深圳地铁为例进行分析，结果表明，按评价等级的划分，11号线的运行图综合质量综合评价良好，1号线、7号线和9号线的运行图综合质量一般．案例分析说明提出的列车运行图评价方法能够合理有效地评估各列车运行方案的编制质量．
Abstract:
The train schedule is the basis for the staff of urban rail transit to cooperate with the train operation. The quality of train schedule directly affects the efficiency and safety of the transportation organization. However, the compilation of train schedule should consider not only the train movement in the operation level, but also the passenger flow in the passenger service level. Therefore, this paper firstly uses the expert consultation method to filter the relevant indicators of the train schedule, and constructs the comprehensive evaluation index from five aspects: basic operation index, service quality, robustness, adjustability, and operation effect. Secondly, the multi-level evaluation method is constructed by the tomographic analysis method, and the grey comprehensive evaluation model is then established. The weights of each level of indicators and the grey correlation coefficient are calculated to evaluate the quality of train schedule, which can be used to choose better one. Finally, Shenzhen Metro is taken as an example for case study. The result shows that the comprehensive quality evaluation of the train schedule of Line 11 is good, and that of line 1, line 7 and line 9 are general. Case study reveals that the proposed method can reasonably and effectively evaluate the quality of train schedules.

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备注/Memo

备注/Memo:
Received：2019-04-19；Accepted：2019-05-22 Foundation：Natural Science Foundation of Guangdong Province (2018A030313119) Corresponding author：Associate professor LUO Qin. E-mail：luoqin@szu.edu.cn Citation：LI Wei, YANG Yongtai, LUO Qin. Comprehensive evaluation of train schedule on urban rail network based on grey correlated analysis［J］. Journal of Shenzhen University Science and Engineering, 2019, 36(6): 682-688.（in Chinese）
更新日期/Last Update: 2019-11-30