Traction Energy Consumption of Urban Rail Transit Considering Level of Service

被引：0
作者：
Yao E. [1 ]
Li B. [1 ]
Tang Y. [2 ]
Liu Y. [3 ]
Zhang R. [4 ]
Sun X. [1 ]
机构：
[1] School of Traffic and Transportation, Beijing Jiaotong University, Beijing
[2] Transport Planning & Design Studio, Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou
[3] Beijing HollySys Co., Ltd., Beijing
[4] School of Automobile, Chang'an University, Xi'an
来源：
Tiedao Xuebao/Journal of the China Railway Society | 2019年 / 41卷 / 06期
关键词：
Energy saving; Level of service; Support vector regression; Traction energy consumption; Urban rail transit;
D O I：
10.3969/j.issn.1001-8360.2019.06.003
中图分类号：
学科分类号：
摘要：
Traction energy consumption (TEC) of urban rail transit is usually affected by line laying mode, train type, train operation mode, as well as its level of service (LOS) (e.g., load factor of train and interval between trains). In order to understand the relationship between LOS and TEC, and provide a reference for the rational development of energy-saving train operation plan without lowering LOS, this study proposed a TEC model considering LOS indicators and analyzed the energy saving potential under a certain LOS based on the study of TEC of urban rail transit line. First, the LOS indicators for energy assessments were extracted and classified on the basis of qualitative analysis of the relationship between LOS and energy consumption. Second, based on the analysis of the correlation between extracted LOS indicators and energy consumption strength, two indicators including environment temperature and load factor were selected as the inputs of support vector regression-based TEC model, which was estimated and validated with the data collected from Beijing urban rail system. Finally, the energy saving potential was analyzed with LOS as the constraint condition. The results show the proposed model has higher measurement accuracy with mean absolute percentage error of 1.5% compared with existing statistical models. Moreover, without lowering LOS, the TEC can be reduced by 6.04% through the optimization of train interval for different time periods in a day. © 2019, Department of Journal of the China Railway Society. All right reserved.
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页码：16 / 23
页数：7
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