深圳大学学报（理工版）2026，Vol.43Issue(1)：36-46,11.DOI:10.3724/SP.J.1249.2026.01036
绿色导向下供需协同的城轨列车开行方案优化
Optimization of urban rail train operation plans with supply-demand coordination under green orientation
摘要
Abstract
To address the issues of underutilized transport capacity,low passenger demand satisfaction,and high enterprise operating costs caused by unreasonable train operation plans,this study proposes a supply-demand coordinated train operation plan for urban rail transit based on the principle of traffic resource optimization allocation.Incorporating passenger travel behaviors and travel preferences,a multi-objective optimization model is established.The objectives are to maximize train supply-demand coordination,minimize the total passenger travel costs,and minimize the total enterprise operating costs.The model is subject to constraints such as carbon emissions,train departure frequency and line throughput capacity.An adaptive annealing-whale optimization algorithm is designed to solve the model,and its effectiveness is verified through a case study.The results show that,compared to the full-length route with multi-type formation,short-turn route with short formation,and short-turn route with long formation models,the short-turn route with multi-type formation model not only optimizes carbon emissions but also improves train supply-demand coordination by 185.92,53.15 and 36.07,respectively.It also reduces the total passenger travel costs by 17.8%,11.45%and 8.34%,and decreases the total enterprise operating costs by 29.09%,5.67%and 4.97%,respectively.Furthermore,compared with the whale optimization algorithm and simulated annealing algorithm,the proposed adaptive annealing-whale optimization algorithm improves the fitness value by 7.55%and 5.65%,and convergence speed by 4.46%and 7.55%,respectively,while optimizing all objectives.Therefore,the proposed model effectively enhances passengers,enterprise costs as well as carbon emissions,enhances supply-demand coordination.The designed algorithm demonstrates high solution performance in satisfying the model's requirements.关键词
交通运输规划与管理/城轨列车/列车开行方案/供需协同/碳排放/自适应退火-鲸鱼算法Key words
transportation planning and management/urban rail trains/train operation plan/supply-demand coordination/carbon emissions/adaptive annealing-whale optimization algorithm分类
交通工程引用本文复制引用
杨雯雯,孟学雷,高如虎,付艳欣,林立..绿色导向下供需协同的城轨列车开行方案优化[J].深圳大学学报（理工版）,2026,43(1):36-46,11.基金项目
Science and Technology Program of Gansu Province(24JRRA865,25JRRA220) （24JRRA865,25JRRA220）
National Natural Science Foundation of China(72361020) （72361020）
Central Guidance for Local Science and Technology Development Foundation(25ZYJA015) 甘肃省科技计划资助项目(24JRRA865,25JRRA220) （25ZYJA015）
国家自然科学基金资助项目(72361020) （72361020）
中央引导地方科技发展基金资助项目(25ZYJA015) （25ZYJA015）
