 A comprehensive approach to multi-formation train line planning: Optimization and adjustment under “Daily Train Plan”Chen Li, Yang Xia, Sinan Guo and Yuguang Wei Energy, 2025, vol. 320, issue C Abstract: Passenger flow on different lines varies across time and space due to locational factors and differences in economic development. To effectively manage these fluctuations, this study focuses on optimizing and adjusting multiple formation train line planning (MFTLP) under the “Daily Train Plan (DTP)" approach. A mixed-integer programming (MIP) model for MFTLP optimization and adjustment was established with dual objectives: (1) to minimize the comprehensive generalized cost of train operations, including energy consumption and carbon emissions, and (2) to minimize ticket revenue loss. Case study results, obtained through the CPLEX solver, demonstrate that the proposed MFTLP optimization and adjustment method under the “DTP” approach delivers significant economic benefits and enhances passenger service quality. The method also achieves significantly reduces in carbon emissions, improves transport efficiency, and flexibly adapts to fluctuations in passenger flow. Furthermore, moderate adjustments to the train stop plan enhance MFTLP's ability to accommodate passenger flow fluctuations. Keywords: Railway transportation; EMUs; Train line planning(TLP); Passenger flow fluctuation; Mixed integer programming (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:320:y:2025:i:c:s0360544225011090 DOI: 10.1016/j.energy.2025.135467 Access Statistics for this article Energy is currently edited by Henrik Lund and Mark J. Kaiser More articles in Energy from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.