An integrated energy-efficient and transfer-accessible model for the last train timetabling problem

Chao Wang, Xin Meng, Mingxue Guo, Hao Li and Zhiqiang Hou

Physica A: Statistical Mechanics and its Applications, 2022, vol. 588, issue C

Abstract: Subway is considered to be one of the most energy-intensive transportation modes for its high operating frequency. However, energy-efficient operations for the subway system are of great importance yet have not been paid much attention to. In this study, we first develop an integrated energy-efficient and transfer-accessible model to minimize the tractive energy consumption and maximize the number of last train connections, which could contribute to the development of high energy-efficient strategies and the construction of wide-accessibility timetables for the subway system. Four tractive modes, which are accelerating–braking (A–B) mode, accelerating–coasting–braking (A–Co–B) mode, accelerating–cruising–braking (A–Cr–B)​ mode, and the mixed mode, are proposed to facilitate the last train operations. A real-life case study of the Beijing subway network is solved by a tailored genetic algorithm. Results show that the A–B mode is the most energy-intensive with an energy consumption of 466.9 kWh, while the A–Co–B mode becomes the most energy-efficient (402.5 kWh). The A–Cr–B and the mixed modes consume 442.2 kWh and 412.8 kWh, respectively. The findings are of significant value for subway companies in addition to their academic merits.

Keywords: Subway system; Last train; Tractive energy consumption; Transfer accessibility; Genetic algorithm (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437121008487
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:588:y:2022:i:c:s0378437121008487

DOI: 10.1016/j.physa.2021.126575

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().