Operation plans for container passenger-style trains and optimization of container space allocation
JIANG Junping
SONG Rui
HE Shiwei
CONG Ming
HE Xiangyu
Abstract：To address the issue of high cargo handling costs arising from improper container space allocation in the passenger-like transportation organization of freight,this study introduces the con-cept of"cargo loading and unloading offset".By comprehensively considering container space selec-tion strategies and station operational capacities,an optimization model for container passenger-like train operation plans and space allocation is developed,aiming to minimize the weighted train operation time and total station economic costs.The model is solved using the Gurobi optimizer,exploring space allocation decisions at a micro level.Its feasibility is validated through small-scale case studies,followed by an analysis of a specific railway line.The results indicate that the train op-eration plans and container space allocation strategies obtained through model solving can compre-hensively consider the operational capabilities of various stations,minimizing system-wide han-dling costs.Compared with the centralized container space utilization strategy,when the station's arrival and departure line capacity is constrained,the decentralized freight space utilization strategy can reduce the number of train stops at a smaller cost.This strategy effectively alleviate the pres-sure on the station's arrival and departure lines,thereby enhancing the competitiveness of railway transportation.
Keywords：railway transportationpassenger-like container operationtrain operation plancontainer space allocationinteger programming
Publication Date：2025-02-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 38-45 )