Optimization of Train Operation Strategy on An Urban Rail Section Based on Multiple Speed Parameters Control

被引：0
|
作者：
Deng L.-B. [1 ]
Zhong M. [1 ]
Cai L. [1 ]
机构：
[1] Rail Data Research and Application Key Laboratory of Hunan Province, School of Traffic and Transportation Engineering, Central South University, Changsha
来源：
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2021年 / 21卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Energysaving operation mode; Multiple speed parameters control; Simulated annealing algorithm; Urban rail train; Urban traffic;
D O I：
10.16097/j.cnki.1009-6744.2021.02.016
中图分类号：
学科分类号：
摘要：
For the urban rail transit, an optimization method is proposed for optimizing the train operation strategy on a rail section to minimize the operation energy consumption. With the requirement of the running time, we determine the train operation strategy by taking the maximum operation speed and the minimum coasting speed as the parameters (decision variables) of the speed profile. Given the running time of the rail section, an optimization model is built to solve the multiple speed parameters based on the uniform mass model of train and considers the constraints of the speed limit and running time with the influence of train performance and the line's horizontal and vertical sections. A simulated annealing algorithm is designed to solve the model and determine the value of each speed parameter with the corresponding operation control scheme. A numerical example of the section between Sun Yat-sen University station and Xiaogang station of Guangzhou metro line 8 is adopted to test the method with different running times. We found that (1) the maximum operation speed can effectively control the running time; (2) the reasonable value of the minimum coasting speed can significantly reduce energy consumption by 4.68% at most; (3) the selection of train operation mode requires comprehensive consideration of running time, energy-saving effect and coasting times, and the energy-saving operation mode has a significant effect on saving energy with a longer running time. It can be shown that this method can provide decision-making support for the train energy-saving operation organization of urban rail transit. Copyright © 2021 by Science Press.
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页码：111 / 118
页数：7
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