Machine Learning-based Simulation Research of On-line Subway Pedestrian Flow Control

Authors

Jiajie Shi, 1.Tianjin University of Technology, Tianjin 300000, China;Follow
Peng Yang, 1.Tianjin University of Technology, Tianjin 300000, China;Follow
Yannan Pi, 2.Metro Operation Technology R&D Center, Beijing Metro Operation Co. , Ltd. , Beijing 100082, China;

Abstract

Abstract: In recent years, a large number of digital experiments have been carried out in the field of space launch, such as digital design verification, digital joint training and simulation training, and rocket-ground joint simulation evaluation, all of which involve the space launch information visualization. Through virtual reality technology, system simulation technology, data visualization technology, etc., on the basis of multi-thread, multi-module architecture design idea, and message queue system interaction mode, the space launch visual simulation analysis technology platform with functions of data management, scenario management, calculation management, and script management is constructed. The application cases of visual simulation analysis for multi-satellite hazard, special operation test launch process, fairing opening and test launch flow status are studied.

Recommended Citation

Shi, Jiajie; Yang, Peng; and Pi, Yannan (2023) "Machine Learning-based Simulation Research of On-line Subway Pedestrian Flow Control," Journal of System Simulation: Vol. 35: Iss. 2, Article 15.
DOI: 10.16182/j.issn1004731x.joss.21-0835
Available at: https://dc-china-simulation.researchcommons.org/journal/vol35/iss2/15

First Page

386

Revised Date

2021-11-15

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-0835

Last Page

395

CLC

TP391.9

Recommended Citation

Jiajie Shi, Peng Yang, Yannan Pi. Machine Learning-based Simulation Research of On-line Subway Pedestrian Flow Control[J]. Journal of System Simulation, 2023, 35(2): 386-395.

Corresponding Author

Peng Yang,29139475@qq.com

DOI

10.16182/j.issn1004731x.joss.21-0835