RIS-Assisted Physical Layer Security in Emerging RF and Optical Wireless Communication Systems: A Comprehensive Survey
Physical layer security (PLS) has received a growing interest from the research community
for its ability to safeguard data confidentiality without relying on key distribution or …
for its ability to safeguard data confidentiality without relying on key distribution or …
Hybrid Decision-Making for Intelligent High-Speed Train Operation: A Boundary Constraint and Pre-Evaluation Reinforcement Learning Approach
Deep Reinforcement Learning (DRL) is the most promising technology for improving high-
speed train's energy efficiency and operation quality. Existing solutions, however, suffer from …
speed train's energy efficiency and operation quality. Existing solutions, however, suffer from …
Deep Reinforcement Learning for Integration of Train Trajectory Optimization and Timetable Rescheduling Under Disturbances
High-speed trains are susceptible to unexpected events such as strong winds and
equipment failures, which can result in deviations from the scheduled timetable. As the …
equipment failures, which can result in deviations from the scheduled timetable. As the …
[HTML][HTML] Energy consumption analysis of urban rail fast and slow train modes based on train running curve optimization
L Deng, L Cai, G Zhang, S Tang - Energy Reports, 2024 - Elsevier
According to the operation characteristics of urban rail transit in fast and slow train modes,
this paper studies the energy-saving problem of the two train modes from the perspective of …
this paper studies the energy-saving problem of the two train modes from the perspective of …
A Novel Controller Based on Fuzzy Sliding Mode Control for Train Speed Tracking
Z Kang, LM Jia, XL Zuo, PJ Shen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The train operation process is characterized by strong coupling and nonlinearity, often
accompanied by significant and unobservable external disturbances, which makes train …
accompanied by significant and unobservable external disturbances, which makes train …
Energy Management Strategy Based on Reinforcement Learning and Frequency Decoupling for Fuel Cell Hybrid Powertrain
H Li, J Kang, C Li - Energies, 2024 - mdpi.com
This study presents a Two-Layer Deep Deterministic Policy Gradient (TL-DDPG) energy
management strategy for Hydrogen fuel cell hybrid train, that aims to solve the problem that …
management strategy for Hydrogen fuel cell hybrid train, that aims to solve the problem that …
Optimisation of Speed Profile Considering Traffic Lights and Other Traffic Participants
C Hou, X Wu, C Zhang, J Dai, M Luo… - 2024 UKACC 14th …, 2024 - ieeexplore.ieee.org
The research on optimising the speed profile of public transportation holds significant
potential for enhancing operational efficiency. Nevertheless, there is currently limited …
potential for enhancing operational efficiency. Nevertheless, there is currently limited …