M2BIST-SPNet: RUL prediction for railway signaling electromechanical devices

X Hu, L Tan, T Tang - The Journal of Supercomputing, 2024 - Springer
Railway signaling electromechanical devices (RSEDs) play a pivotal role in the railway
industry. Normal wear and tear of these devices occur during day-and-night operation and …

Machine Learning in Urban Rail Transit Systems: A Survey

L Zhu, C Chen, H Wang, FR Yu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Urban Rail Transit Systems (URTS) have increasingly become the backbone of modern
public transportation, attributed to their unparalleled convenience, high efficiency, and …

Optimizing Edge Resources in Intelligent Railway Construction: A Two-Level Game Approach

J Tian, L Zhu, FR Yu, H Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the development of digitization, railways have also entered the era of intelligent
construction. Intelligent construction can effectively improve the safety and efficiency of …

Study on spatial and temporal correlation characteristics for RIS-aided macrocell high-speed railway propagation systems

B Zhou, K Zhao, Y Zhao, Y Abulihaiti, C Yang… - The Journal of …, 2024 - Springer
Reconfigurable intelligence surface (RIS) consists of a large number of low-cost passive
reflecting elements has attracted significant attention from communication communities …

Stability-Enhanced Model Predictive Control for Urban Rail Transit Train

X Wang, K Xing, J Wang - IEEE Access, 2024 - ieeexplore.ieee.org
Automatic train operation (ATO) control is a pivotal part of urban rail transit development,
where designing the dynamics models and controllers for the ATO control scenarios …

Quantifying response latency in video surveillance systems using object detection techniques

J Miao, L Zhu, H Zhao, S Lin, X Gao - The Journal of Supercomputing, 2024 - Springer
As video surveillance systems become increasingly essential for railway operations,
accurate and precise performance testing is crucial. Traditional methods for response …

Federated learning-based edge computing for automatic train operation in communication-based train control systems

Z Zhang, H Jiang, H Zhao, Y Li - The Journal of Supercomputing, 2024 - Springer
Automatic train operation (ATO) is a critical component of automatic train control (ATC)
systems. The ATO automatically adjusts the speed of trains, ensuring the safety of trains and …

Air–ground integrated artificial intelligence of things with cognition-enhanced interference management

C Ren, J Song, M Qiu, Y Li, X Wang - EURASIP Journal on Advances in …, 2024 - Springer
Integrated air–ground network enhances AIoT performance by improving spectral efficiency,
achieving high-speed, stable network connectivity, and enabling sensing, learning, and …

A joint resource optimization allocation algorithm for NOMA‐D2D communication

J Xie, L Li, C Li - IET Communications, 2024 - Wiley Online Library
The AIoT, with its artificial intelligence capabilities, can further enhance Device‐to‐Device
(D2D) communication. Based on Non‐Orthogonal Multiple Access (NOMA), D2D technology …