Research on virtual coupling railway safety protection based on track prediction

Jiapeng Hu; Yong Zhang

doi:10.1117/12.2668462

16 February 2023 Research on virtual coupling railway safety protection based on track prediction

Jiapeng Hu, Yong Zhang

Proceedings Volume 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022); 125912A (2023) https://doi.org/10.1117/12.2668462
Event: 6th International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 2022, Guangzhou, China

Abstract

Virtual Coupling railway technology allows trains to conduct dynamic formation and reconciliation according to the actual passenger transport needs. The trains within the formation operate at small intervals close to the length of mechanical hooks, realizing local ultra-high density driving and collaborative control. In order to ensure that the train can also operate safely when the location and speed information is missing, this paper proposes to predict the train track and perceive the future train operation state in advance to realize the safe operation. Firstly, the existing urban rail train braking model is analyzed, and the highly accurate train braking model is identified by the improved Particle Swarm (PSO) algorithm; then after analyzing Long Short-Term Memory (LSTM) and Unscented Kalman Filter (UKF) respectively, the Virtual Coupling train track prediction algorithm based on LSTM and UKF is proposed. Finally, the actual operation data construction environment, simulation prediction and verification. The simulation experiment results show that: compared with the simple LSTM trajectory prediction, the formation train trajectory prediction model based on LSTM-UKF can further reduce the prediction error and instability, which is conducive to the safe operation of the virtual formation train.

Citation Download Citation

Jiapeng Hu and Yong Zhang "Research on virtual coupling railway safety protection based on track prediction", Proc. SPIE 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 125912A (16 February 2023); https://doi.org/10.1117/12.2668462

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Education and training

Particle swarm optimization

Particles

Data modeling

Resistance

Signal filtering

Evolutionary algorithms

Show All Keywords

Keywords/Phrases

Search In:

Publication Years