火车
地铁列车时刻表
能源消耗
高效能源利用
燃料效率
库存(枪支)
汽车工程
解算器
运输工程
计算机科学
工程类
运筹学
机械工程
操作系统
地图学
电气工程
程序设计语言
地理
作者
Yu Huang,Wenliang Zhou,Jin Qin,Lianbo Deng
出处
期刊:Energy
[Elsevier BV]
日期:2023-04-10
卷期号:275: 127475-127475
被引量:5
标识
DOI:10.1016/j.energy.2023.127475
摘要
An energy-efficiency train schedule greatly contributes to alleviating some environmental issues such as carbon emissions. However, the pursuit of reducing train energy consumption often leads to passengers' longer travel time, and more operation cost of rolling stocks. Thus, it is necessary to consider costs of passengers and rolling stocks when optimizing the energy-efficiency schedule for better satisfying passenger demand and reducing trains' total operating cost. In this paper, a mixed integer nonlinear programming model of energy-efficiency train schedule considering passenger demand and rolling stock circulation plan is established for minimizing passengers' travel cost and trains' operating cost. More specifically, this model devotes to simultaneously optimizing: (1) passengers' travel choices to reduce passengers’ waiting time and travel time, (2) the selection of train traction strategy in the section to reduce the traction energy consumption, and (3) the train connection scheme to ensure the economy of the rolling stock circulation plan. This paper designs a variable neighborhood search algorithm combined with CPLEX solver to solve the model efficiently. Based on the data of Guangzhou Metro Line 9, the optimization method proposed in this paper can reduce the train operation cost by 9.73% and the total passenger travel cost by 18.11%.
科研通智能强力驱动
Strongly Powered by AbleSci AI