Download pdf
Research on operation optimization of Chengdu subway based on transfer station structure analysis
- 1 Golden Apple Jincheng No.1 Secondary School
* Author to whom correspondence should be addressed.
Abstract
In the current case of China's rail transit as a major part of public transportation, the complexity of the line has brought more transfer stations. After the investigation and observation, the long waiting time of transfer stations is one of the biggest problems at this stage. In the investigation of the transfer station, taking Chengdu as an example, the author chose the third-line transfer station with moderate universality and complexity as the research goal, and investigated the transfer efficiency and influencing factors. After the study and discussion of the conclusion, the author decided to establish a mathematical model to optimize and improve. For the more neglected problems, the fine regulation of the transfer station structure and the train schedule. The scheduling optimization model of this paper, as a universal and simple data collection model, can be universally applied. Meanwhile, this paper gives a new perspective on the rail transit transfer optimization, with the transfer time and passenger experience as the main consideration factors.
Keywords
rail transit, transfer station optimization, operation scheduling, digital planning
[1]. Liu Shanwei, Zhang Yang. Functional evaluation of the tertiary transfer station based on AnyLogic simulation. Journal of Transportation Engineering and Information Technology.2021,19(01)
[2]. Jia Shuhang, Lu Jianhong, Liu Mingming. Research on Quantitative Method Based on Transfer Passenger Flow Control of Urban Rail Transit. Urban fast rail transit.2021,34(05)
[3]. Liu Xueli, Zan Wenbo. Analysis and Evaluation of Urban Rail Transit. Henan science and technology.2021,40(23)
[4]. Haibin Zhu. Design of the Transfer Station of Zhengzhou Rail Transit Line 4. Transportation Manager World.2021,(20)
[5]. Li Yi, Shi Cheng, Zou Zhijun. Analysis of Decision factors of Passenger Transfer in Urban Rail Transit.urban communications.2021,19(02)
[6]. Zhu Qingbo, Song Tingxin, Li Yan. Study on the Improvement of Rail Transit Transfer Capacity Based on Anylogic.computer simulation.2020,37(02)
[7]. Li Yushu, Sun Yue, Wan Heng, Pu Qi. Evaluation Method of Passenger Flow Pressure in Transfer Channel of Urban Rail Transit Station. Research on Urban Rail Transit.2020,23(01)
[8]. Chai and Tian, Chen Mengmeng, Luo Yang. Optimization of early-shift train group schedule of urban rail transit network. Qinghai Transportation Science and Technology.2020,31(01)
[9]. Liu Wenjing. Selection of subway transfer station layout scheme. Tianjin Construction Technology.2019,29(06)
[10]. Wang Wei. A Study on the Optimization of Urban Rail Transit Transfer. Heilongjiang Transportation Technology.2019,42(12)
[11]. Hao Cheng, Yang Dan, Yin Yong. Research on Facilities Allocation Evaluation of Urban Railway and Urban Rail Transit Transfer Station.integrated transportation.2019,41(07)
[12]. Chengdu Rail Transit Officer https: / / www.chengdurail.com/index_sw.html
Cite this article
Li,H. (2023). Research on operation optimization of Chengdu subway based on transfer station structure analysis. Theoretical and Natural Science,5,474-481.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
Disclaimer/Publisher's Note
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
About volume
Volume title: Proceedings of the 2nd International Conference on Computing Innovation and Applied Physics (CONF-CIAP 2023)
© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and
conditions of the Creative Commons Attribution (CC BY) license. Authors who
publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons
Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this
series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published
version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial
publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and
during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See
Open access policy for details).