Energy-Efficient Optimization for Train Tracking Operation in Urban Rail Transit

被引：0
|
作者：
Gu, Qing [1 ]
Ma, Fei [1 ]
Meng, Yu [1 ]
机构：
[1] Univ Sci & Technol Beijing, Sch Mech Engn, Beijing, Peoples R China
来源：
2014 IEEE 17TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) | 2014年
关键词：
OPTIMAL STRATEGIES; COAST CONTROL; MINIMIZATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper investigates energy-efficient operation for two tracking trains. The operation status of the leading train are combined into the optimization of operation for the following train. In this case, the energy-efficient tracking scenarios are studied and a new switching optimization thought for energy-efficient train tracking operation is proposed based on tracking scenarios analysis. Then by improving the energy-efficient operation optimization method for single train, the energy-efficient optimization method for train tracking operation is developed and analyzed. Simulation results show the feasibility and effectiveness of the new method.
引用
收藏
页码：834 / 839
页数：6
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