重联运营模式下城市轨道交通列车车底运用优化
邓澄远1卢锦生2朱昌锋3孙元广1马斌3
Optimization of Urban Rail Transit Train Stock Utilization under Re-coupling Operation Mode
DENG Chengyuan1LU Jinsheng2ZHU Changfeng3SUN Yuanguang1MA Bin3
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作者信息:1.广州地铁设计研究院股份有限公司交通规划分院，510010，广州
2.广州地铁集团有限公司运营事业总部，510220，广州
3.兰州交通大学交通运输学院，730070，兰州
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Affiliation:1.Transportation Planning Branch, Guangzhou Metro Design and Research Institute Co., Ltd., 510010, Guangzhou, China
2.Operation Headquarters of Guangzhou Metro Group Co., Ltd.,510220，Guangzhou, China
3.School of Traffic and Transportation, Lanzhou Jiaotong University, 730070, Lanzhou, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2025.01.036
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中图分类号/CLCN:U292.6
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栏目/Col:研究报告
摘要:
［目的］重联运营模式能有效提升城市轨道交通客流与运量的匹配度，同时也为车底运用计划的编制带来挑战，因此需对该模式下车底与不同编组车次的接续问题进行研究。［方法］通过分析重联运营模式下城市轨道交通列车车底运用的特点，以及客流高峰向非高峰转化阶段车底的接续情况，以车底运用数量最小、车底接续时间费用最小及车底运用均衡性为目标，综合考虑车次接续唯一性、车底一致性、检修计划、节点常规接续、重联车次节点接续等相关约束，引入MTSP(多旅行商问题)，构建城市轨道交通客流高峰向非高峰转化阶段的车底运用优化模型，并设计了一种MOFA-MCS(多策略协同多目标萤火虫算法)。以某条客流时段不均衡性较大的城市轨道交通线路为例，对该优化模型的可行性和合理性进行了验证。［结果及结论］重联运营模式下城市轨道交通车底运用优化方案能合理优化不同编组车次间的接续，降低企业运营成本。
Abstracts:
［Objective］ Re-coupling operation mode can effectively improve the matching degree between the passenger flow and the transport capacity of urban rail transit, while it also poses challenges to the formulation of the train stock utilization plan. Therefore, it is necessary to conduct research on the connection between the train stock and different marshalling train trips under this mode. ［Method］ By analyzing the characteristics of urban rail transit train stock utilization under the re-coupling operation mode and the connection situation of the train stock during the transition period from peak to off-peak passenger flow, aiming at minimizing the number of train stock in use and the connection time cost, and ensuring the balance of train stock utilization, relevant constraints such as the uniqueness of train service connection, the consistency of train stock, maintenance plans, regular node connections, and connection of coupled train service nodes are comprehensively considered. The MTSP (multiple traveling salesman problem) is introduced to construct an optimized train stock utilization model during the transition period from peak to off-peak passenger flow in urban rail transit. Moreover, a MOFA (multi-objective firefly algorithm) based on MCS (multiply cooperative strategies) is designed. In the case study of a certain urban rail transit line with significant imbalance of passenger flow in different periods, the feasibility and rationality of the above optimized model are verified. ［Result & Conclusion］ The optimized train stock utilization scheme of urban rail transit under the re-coupling operation mode can reasonably optimize the connection between different marshalling train trips and reduce the operation costs for enterprises.
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