Dynamic Performance Evaluation Method for Transfer in Rail Transit Station Based on Station Simulation and LSTM

Authors

Bisheng He, 1.School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China;2.National United Engineering Laboratory of Integrated and Intelligent Transportation, Chengdu 611756, China;3.Comprehensive Transportation Key Laboratory of Sichuan Province, Chengdu 611756, China;Follow
Hongxiang Zhang, 1.School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China;
Yongjun Zhu, 1.School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China;
Gongyuan Lu, 1.School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China;2.National United Engineering Laboratory of Integrated and Intelligent Transportation, Chengdu 611756, China;3.Comprehensive Transportation Key Laboratory of Sichuan Province, Chengdu 611756, China;Follow

Abstract

Abstract: Given the boom increasing of rail transit passenger volume, the dynamic performance evaluation method for transfer in rail transit stations based on machine learning are proposed to effectively evaluate the performance of the transfer station in different scenarios. Based on the proposed dynamic performance evaluation indexes of effective transfer number, transfer time and congestion, the influence factors of station dynamic performance are analyzed. The simulation model integrated train operation and pedestrian movement is built to provide the time-series data for the machine learning method. The long short-term memory (LSTM) is implemented to forecast the evaluation indicators, and the station evaluation results can be obtained dynamically under different operational conditions. 22,400 samples generated by the simulation model as the train data are used to train the forecasting model with the Xipu station. The forecasting results demonstrate the accuracy of forecasting model. The impact of ticket purchase ratio on the dynamic performance of the station is quantified. The proposed station dynamic performance evaluation method is proved to be effective and efficient for the operation and organization of the transfer station.

Recommended Citation

He, Bisheng; Zhang, Hongxiang; Zhu, Yongjun; and Lu, Gongyuan (2023) "Dynamic Performance Evaluation Method for Transfer in Rail Transit Station Based on Station Simulation and LSTM," Journal of System Simulation: Vol. 35: Iss. 3, Article 9.
DOI: 10.16182/j.issn1004731x.joss.21-1042
Available at: https://dc-china-simulation.researchcommons.org/journal/vol35/iss3/9

First Page

544

Revised Date

2021-12-06

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-1042

Last Page

556

CLC

TP391.9

Recommended Citation

Bisheng He, Hongxiang Zhang, Yongjun Zhu, Gongyuan Lu. Dynamic Performance Evaluation Method for Transfer in Rail Transit Station Based on Station Simulation and LSTM[J]. Journal of System Simulation, 2023, 35(3): 544-556.

Corresponding Author

Gongyuan Lu,lugongyuan@swjtu.edu.cn

DOI

10.16182/j.issn1004731x.joss.21-1042