东南大学学报（英文版）2025，Vol.41Issue(4)：422-429,8.DOI:10.3969/j.issn.1003-7985.2025.04.003
大客流下综合客运枢纽衔接轨道交通灵活编组策略研究
Flexible train formation strategies for connecting rail transit in integrated transport hubs under high-demand conditions
摘要
Abstract
To address the challenges of supply-demand imbal-ance in rail transit and the complex passenger flow interactions among multiple hub stations under high-passenger-volume scenarios,this study proposes an optimized rail transit scheduling method based on a flexible train formation strat-egy(FTFS).By constructing interaction parameters that characterize the coupling effects of high passenger flow across multiple hubs,a multiobjective optimization model is developed to minimize passenger waiting time at hub sta-tions and operational costs.An improved nondominated sorting genetic algorithm incorporating chaotic mapping and adaptive evolutionary parameters is designed for efficient so-lution optimization.This method overcomes the limitations of fixed train formations by supporting diversified modular unit detachment and reconnection,enabling dynamic capac-ity adjustment and efficient rolling stock circulation.A case study on Nanjing Metro Line 1 demonstrates that the FTFS reduces the average waiting time at hub stations by 47.2%,alleviates train congestion by approximately 18.6%,and re-duces the operational costs under low-demand scenarios by 44.8%.Pareto frontier analysis further reveals the trade-off mechanism between transport capacity elasticity and opera-tional costs.These findings validate the effectiveness of the flexible train formation model in mitigating platform conges-tion and enhancing passenger flow evacuation efficiency at transport hubs,providing multiobjective decision-making support for managing extreme passenger flow during holi-days and peak events.关键词
综合客运枢纽/城市轨道交通/灵活编组/多目标/非支配排序遗传算法Key words
integrated transport hub/urban rail transit/flex-ible train formation/multiobjective/nondominated sorting genetic algorithm Ⅱ分类
交通工程引用本文复制引用
张人杰,杨敏,陈单涛,叶茂,程龙..大客流下综合客运枢纽衔接轨道交通灵活编组策略研究[J].东南大学学报（英文版）,2025,41(4):422-429,8.基金项目
Key Project of the National Natural Science Founda-tion of China(No.52432011),the National Natural Science Founda-tion of China(No.524B2153). （No.52432011）
