摘要
为解决传统运用车数计算方法对蓄电池储能式低运量轨道交通并不完全适用以及人工铺画列车运行图工作量大且较大程度依赖于技术人员铺画经验的问题,研究提出一种将列车充电时间和续航能力的影响考虑在内的运用车计算优化方法,构建包括车辆采购费用、充电电费和其他运营成本在内的综合费用最省的优化模型,并设计启发式蚁群算法进行求解,最后通过典型案例验证该方法的有效性。
In order to solve the problems that the traditional method of calculating the number of serviceable cars is not fully applicable to the battery-storage low volume rail transit system,and the manual drawing of train diagram is heavy and largely depends on the drawing experience of technicians,a calculation optimization method considering the influence of train charging time and endurance capacity is proposed,the comprehensive cost optimization model including vehicle procurement cost,charging electricity charge and other operating costs is constructed,and the heuristic ant colony algorithm is designed to solve it.Finally,a classic case is given to verify the effectiveness of this method.
作者
房霄虹
夏明
张梦然
FANG Xiaohong;XIA Ming;ZHANG Mengran(China Railway Engineering Consulting Group Co.,Ltd,Beijing 100055,China;CASCO Signal Ltd,Beijing 100070,China)
出处
《交通与运输》
2022年第4期32-36,共5页
Traffic & Transportation
关键词
蓄电池储能式
低运量轨道交通
运用车数
蚁群算法
Battery-storage
Low volume rail transit system
Serviceable cars
Ant colony algorithm