Chapter
Jun 29, 2020
13th Asia Pacific Transportation Development Conference

Multi-Factor Analysis and Combination Optimization Design of Subway Train Travel Speed

Publication: Resilience and Sustainable Transportation Systems

ABSTRACT

Based on the operation status of Shanghai subway network, this paper sorts out and analyzes the main factors that affect the train travel speed, analyzes whether these factors can be further optimized from the operation level, and gives the corresponding optimization methods, and then designs the combined optimization scheme of train travel speed optimization factors based on orthogonal test, and finally verifies and analyzes the case of Shanghai Metro Line 12. Results show that after combinatorial optimization, the travel speed of Line 12 was increases by 5.92%, and the interval of driving from 4 minutes to 3 minutes and 47 seconds.

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REFERENCES

Kang, L., Dixon, S., Wang, K. (2013). “Enhancement of signal amplitude of surface wave EMATs based on 3-D simulation analysis and orthogonal test method.” NDT & E International, 59, 11-17.
Lan, X. (2017). “Analysis of factors affecting travel speed.” Railway Communication Signal, 53(06), 83-85.
Li, G. Q. (2017). “Travel speed and train congestion of urban rail transit.” Urban Rapid Transit, 30(05), 23-26 +39.
Peng, L. (2017). “Comprehensive research and practice of network operation and transportation improvement of Guangzhou metro.” Urban Rapid Transit Traffic, 30(05), 128-133.
Ranil, R. H. G., Niran, H. M. L., and Plazas, M. (2015). “Improving seed germination of the eggplant rootstock Solanum torvum by testing multiple factors using an orthogonal array design”. Scientia Horticulturae, 193, 174-181.
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Published In

Go to Resilience and Sustainable Transportation Systems
Resilience and Sustainable Transportation Systems
Pages: 322 - 328
Editors: Fengxiang Qiao, Ph.D., Texas Southern University, Yong Bai, Ph.D., Marquette University, Pei-Sung Lin, Ph.D., University of South Florida, Steven I Jy Chien, Ph.D., New Jersey Institute of Technology, Yongping Zhang, Ph.D., California State Polytechnic University, and Lin Zhu, Ph.D., Shanghai University of Engineering Science
ISBN (Online): 978-0-7844-8290-2

History

Published online: Jun 29, 2020
Published in print: Jun 29, 2020

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Authors

Affiliations

Zihuan Deng [email protected]
College of Urban Railway Transportation, Shanghai Univ. of Engineering Science, Shanghai, China. E-mail: [email protected]
College of Urban Railway Transportation, Shanghai Univ. of Engineering Science, Shanghai, China. E-mail: [email protected]
Xiulian Liu [email protected]
College of Urban Railway Transportation, Shanghai Univ. of Engineering Science, Shanghai, China. E-mail: [email protected]

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