Auxiliary Decision of Signal System Renovation Scheme for Urban Rail Transits
- DOI
- 10.2991/978-94-6463-610-9_2How to use a DOI?
- Keywords
- urban rail transit; signal system; renovation; scheme selection; fuzzy multi-attribute decision
- Abstract
In a renovation of urban rail transit (URT) signal systems, the renovation scheme runs through the whole process of the renovation, and it is necessary to solve the problem of the comparison and decision-making of the plan. Through sorting out the relevant results of renovations, the renovation methods are classified into three categories: repair as old, upgrade and replacement, and upgrade and compatibility. For the renovation scheme, the renovation scheme selection index system including 4 dimensions and 14 sub-dimensions is constructed. Furthermore, the renovation scheme selection auxiliary decision algorithm based on fuzzy multi-attribute decision is proposed. The results of the case study fit well with an existing project, which verifies the effectiveness of the method and reflects the multi-attribute characteristics of the signal system renovation scheme. The proposed method can provide quantitative decision support for signal system renovations.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Heng Li AU - Pengzi Chu PY - 2024 DA - 2024/12/16 TI - Auxiliary Decision of Signal System Renovation Scheme for Urban Rail Transits BT - Proceedings of the 2024 International Conference on Rail Transit and Transportation (ICRTT 2024) PB - Atlantis Press SP - 4 EP - 11 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-610-9_2 DO - 10.2991/978-94-6463-610-9_2 ID - Li2024 ER -