摘要
针对城市轨道交通中常出现客流分布不均的潮汐现象,以乘客在途成本和企业运营成本最小化为目标,构建多目标优化模型。运用遗传算法进行参数寻优,用线性加权法对该优化模型进行求解,并提出在某条路线上不同列车编组运行结果评价函数及仿真方法。以深圳地铁四号线为例验证了该优化模型的有效性。
Aiming at the problem of subway group optimization caused by the uneven distribution of passenger flow in urban rail transit,the multi-objective optimization model is constructed with the goal of minimizing passenger travel cost and enterprise operating cost.The genetic algorithm is used to optimize the parameters,and the optimization model is solved by linear weighting method.An evaluation function and simulation method for the operation results of different groups on a certain route are proposed.The effectiveness of the optimization model is verified by taking the Shenzhen Metro Line 4 as an example.
作者
杜晓婷
郭进利
DU Xiao-ting;GUO Jin-li(Business School,University of Shanghai For Science&Technology,Shanghai 200093,China)
出处
《软件导刊》
2019年第5期146-150,共5页
Software Guide
基金
国家自然科学基金项目(71571119)
关键词
城市轨道交通
列车编组
多目标优化问题
遗传算法
仿真
urban rail transit
train grouping
multi-objective optimization model
genetic algorithm
simulation
