列车运行能耗与乘客换乘时间协同优化研究

doi:10.3976/j.issn.1002-4026.2020.05.009

Abstract

Abstract: In this paper, we establish a timetable based on an integrated optimization model by taking the train dwell time as the decision variable to reduce the total energy consumption and passenger transfer time in a rail transit system. Furthermore, we design a genetic algorithm to implement the model. Finally, we conduct a numerical experiment with the actual data of Beijing metro Line 5 and Yizhuang Line to demonstrate the effectiveness of the model and the efficiency of the proposed method. Results show that the total energy consumption of the rail transit system reduce by 5.15% and passenger transfer time is reduce by 17.66% after optimization.

Key words: rail traffic, timetable, energy consumption, transfer time, dwell time, genetic algorithm

CLC Number:

U293.5

ZHAO Kai-li, FAN Xian, XU Xiao-ming, ZHU Dong-dong. An integrated optimization approach for train energy consumption and passenger transfer time#br#[J].Shandong Science, 2020, 33(5): 73-83.

References 16

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An integrated optimization approach for train energy consumption and passenger transfer time#br#

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