摘要
市域存在小时达与沿线通勤等多样化客流需求,而轨道交通线路结构性供给却不足。为解决多样化线路整合规划(融合)问题,以线路站点选择、发车频率、速度配置、站间客流分配量为决策变量,构建线路区间容量空余时数目标函数,以衡量系统运营成本这一较难计算的指标。同时,构建乘客总在车时间目标函数,考虑客流需求、线路容量、站间距与速度等级之间的约束关系,基于目标函数最小化原则,提出融合视角下的市域轨道交通线路规划模型。采用带模拟退火机制的自适应大邻域搜索算法(SA-ALNS)对模型进行求解,并通过与数学求解方法对比证明了算法寻优的速度优势,与不含模拟退火机制的ALNS求解性能的对比证明了算法在求解全局最优解上的优势。研究结果表明:与既有方案相比,模型规划的线路方案区间容量空余时数降低了16.5%,乘客总在车时间降低了32%,总目标优化了26.8%,证明了模型的有效性。模型在目标1与2冲突的情况下,能够找到系统的帕累托均衡解,证明了模型的多目标优化能力。同时模型对其他通道的线路规划方案也显著优于既有方案,证明了模型的适用性。该模型为市域轨道交通线路规划提供理论支撑,有助于加快市域轨道交通建设。
There are diversified passenger flow demands such as hourly reach and commuting along the route in the city area of the center city of metropolitan area,while the structural supply of urban rail transit lines is insufficient.In order to solve the problem of diversified line integration planning(fusion),this paper constructed an objective function of the number of hours of spare line interval capacity using the line station selection,frequency of departure,speed configuration,and the amount of inter-station passenger flow distribution as the decision-making variables,to measure system operating cost,a more difficult indicator to calculate.At the same time,the objective function of total passenger on-board time was constructed,and the constraint relationship between passenger flow demand,line capacity,station spacing and speed class was considered.Based on the principle of minimizing the objective function,the urban rail transit line planning model under the perspective of integration was proposed.Adaptive Large Neighborhood Search Algorithm with Simulated Annealing Mechanism(SA-ALNS)was used to solve the model,and the speed advantage of the algorithm in searching for the optimal solution was proved by comparing it with the mathematical solution method,and the comparison of the solution performance with ALNS without Simulated Annealing Mechanism proves the algorithm’s superiority in searching for the global optimal solution.The results of the study show that compared with the established scheme,the number of spare hours of the inter-area capacity of the line scheme planned by the model has been reduced by 16.5%,the total passenger on-board time has been reduced by 32%.The total objective has been optimized by 26.8%,which can prove the effectiveness of the model.The model is able to find the Pareto equilibrium solution of the system in the case of conflict between objectives 1 and 2,which can prove the multiobjective optimization ability of the model.At the same time,the model is also effective and significantly better than the established program for the route planning scheme of other corridors,proving the applicability of the model.The model can provide theoretical support for city rail transit line planning,which helps to accelerate the construction of city rail transit.
作者
李俊芳
刘志钢
潘寒川
曲思源
LI Junfang;LIU Zhigang;PAN Hanchuan;QU Siyuan(School of Urban Railway Transport,Shanghai University of Engineering Science,Shanghai 201620,China;Transport Department,Shanghai Railway Bureau,Shanghai 200070,China)
出处
《铁道科学与工程学报》
北大核心
2025年第5期1988-1999,共12页
Journal of Railway Science and Engineering
基金
上海市哲学社会科学规划办课题(Z20211012)。
关键词
铁路运输
市域轨道交通
线路规划
融合
最优化模型
rail transportation
suburban rail transit
route planning
convergence
optimization models
