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Research on improvement of urban rail transit energy consumption model

Authors :
Xinji Wang
Yeli Wang
Chenglong Wang
Source :
International Conference on Smart Transportation and City Engineering 2021.
Publication Year :
2021
Publisher :
SPIE, 2021.

Abstract

Energy consumption model of urban rail transit is a complex nonlinear system, both the modeling study was not fully considering the problem of low precision and energy consumption model, according to the above problem, this paper proposed to improve the traditional dynamic model of the improved model compared with the traditional model is more accurate, more in line with the actual operation of train. On this basis, this paper explores the influence of distance between stations and running time on running energy consumption, and obtains the influence factor model through the MATLAB simulation platform. Finally, a simulation study was conducted on a section of Nanning Metro Line 1 as an example to verify the effectiveness and accuracy of the optimization model. The results show that the improved energy consumption model is 2.12% more accurate than the traditional model.

Details

Database :
OpenAIRE
Journal :
International Conference on Smart Transportation and City Engineering 2021
Accession number :
edsair.doi...........c38f4b14b67b9b477f280142d66cd6ce
Full Text :
https://doi.org/10.1117/12.2613940