华南理工大学学报(自然科学版) ›› 2025, Vol. 53 ›› Issue (12): 1-.doi: 10.12141/j.issn.1000-565X.250107

• 智慧交通系统 •    

城市轨道交通客流廊道跨线列车开行方案优化

许奇1 庞立言2 薛力恺2 李洁珲3 贺鹏4   

  1. 1.北京交通大学 综合交通运输大数据应用技术交通运输行业重点实验室,北京 100044;

    2.北京交通大学 交通运输学院,北京 100044;

    3.北京市地铁运营有限公司运营三分公司,北京 100044;

    4.北京城建设计发展集团股份有限公司,北京 100037

  • 出版日期:2025-12-25 发布日期:2025-07-18

Cross-Line Train Service Optimization for Passenger Corridor in Urban Rail Transit Network

XU Qi1 PANG Liyan2 XUE Likai2 LI Jiehui3 HE Peng4   

  1. 1. Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China;

    2. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;

    3. The Third Operation Branch Company Affiliated With Beijing Mass Transit Railway Operation Co. Ltd., Beijing 100044, China;

    4. Beijing Urban Construction Design and Development Group, Beijing 100037, China

  • Online:2025-12-25 Published:2025-07-18

摘要:

城市轨道交通客流廊道区域连接城市核心区和不同城市圈层的主要功能区,是城市空间资源和经济活动集中分布的区域,其运输效率对于轨道交通网络能力及社会经济活动具有重要影响。因此,针对城市轨道交通客流廊道区域,基于“一干多支”的客流廊道拓扑结构,提出以企业运营成本、乘客出行成本、满载率不均衡系数为目标的多目标非线性优化模型。模型以发车频率和编组方案为决策变量,并设计NSGA-II算法进行求解。以北京市回龙观/天通苑—中关村客流廊道为例,验证模型的有效性。结果表明:该模型可有效匹配职住组团间多方向出行需求。为验证模型的优化效果,提出改进的基于距离的最优解求解方法,求得的最优解,乘客出行时间、企业运营成本和满载率不均衡系数分别为2639.17、103716.24、0.086。相较本线独立运营方案,乘客出行时间降低14.09%,满载率不均衡系数降低43.01%,企业运营成本增加17.22%。同时,在复杂线网中,干线区段最大通过能力和分支区段最小服务水平的限制对优化方案的效果造成较大影响。通过提高干线能力上限,研究能力限制对客流廊道列车开行方案优化的影响。结果显示,在提高线路通过能力的条件下,帕累托解的多样性增加,乘客出行时间显著降低,服务的均衡性提高。研究结果为进一步优化跨线开行方案和实际运营提供相应的经验指导。

关键词: 城市交通, 城市轨道交通, 客流廊道, 列车开行方案

Abstract:

Urban rail transit passenger flow corridor areas connect the urban core area with the main functional areas of different urban circles, and are regions where urban spatial resources and economic activities are concentrated. Their transportation efficiency has a significant impact on the capacity of the rail transit network and socio-economic activities. In view of this, for the urban rail transit passenger flow corridor areas, based on the "one main line with multiple branches" topological structure of passenger flow corridors, a multi-objective nonlinear optimization model is proposed with the objectives of enterprise operation cost, passenger travel cost, and load factor imbalance coefficient. The model takes the departure frequency and marshalling scheme as decision variables, and designs a NSGA-II algorithm for solving. Taking the passenger flow corridor from Huilongguan/Tiantongyuan to Zhongguancun in Beijing as an example, the effectiveness of the model is verified. The results show that the model can effectively match the multi-directional travel demands between job-housing clusters. To verify the optimization effect of the model, an improved distance-based optimal solution solving method is proposed. The obtained optimal solution shows that the passenger travel time, enterprise operation cost, and load factor imbalance coefficient are 2639.170, 103716.24, and 0.086 respectively. Compared with the independent operation scheme of this line, the passenger travel time is reduced by 14.09%, the load factor imbalance coefficient is reduced by 43.01%, and the enterprise operation cost is increased by 17.22%. At the same time, in complex line networks, the restrictions of the maximum carrying capacity of the main line section and the minimum service level of the branch section have a great impact on the effect of the optimization scheme. By increasing the upper limit of the main line capacity, the study investigates the impact of capacity restrictions on the optimization of train operation schemes in passenger flow corridors. The results show that under the condition of improving the line carrying capacity, the diversity of Pareto solutions increases, passenger travel time is significantly reduced, and the balance of service is improved. The research results provide corresponding experience and guidance for further optimizing the cross-line operation scheme and actual operation.

Key words: urban transportation, urban rail transit, passenger flow corridor, train operation scheme