铁路通信信号工程技术2025，Vol.22Issue(6)：84-90,7.DOI:10.3969/j.issn.1673-4440.2025.06.013
运行图节能优化的数值分析研究
Numerical Analysis and Study of Energy-saving Optimization of Train Graph
摘要
Abstract
This paper studies the energy-saving effect of the train graph based on the train graph energy-saving optimization process when energy-saving technologies are not simultaneously activated.By processing the raw train data from on-site experiments according to the energy-saving optimization calculation method of the train graph,and using machine learning methods,the acceleration and deceleration model of the raw data is obtained,which can predict the acceleration and deceleration situation of other trains,and determine the energy-saving ratio of train graph optimization based on the actual acceleration and deceleration time of multiple trains.关键词
城市轨道交通/运行图节能优化/节能统计/机器学习Key words
urban rail transit/train graph energy-saving optimization/energy-saving statistics/machine learning分类
交通工程引用本文复制引用
乐梅,杨婧,周伯尼,肖孟..运行图节能优化的数值分析研究[J].铁路通信信号工程技术,2025,22(6):84-90,7.基金项目
重庆市建设科研项目(城科字2023第5-11号) （城科字2023第5-11号）
