Reinforcement learning method for the multi-objective speed trajectory optimization of a freight train

X Lin, Z Liang, L Shen, F Zhao, X Liu, P Sun… - Control Engineering …, 2023 - Elsevier
With the rising urge to mitigate the green house effect, reducing the energy consumption of
the freight train attracts much attention. Multiple constraints should be taken into account to …

RIS-Assisted Physical Layer Security in Emerging RF and Optical Wireless Communication Systems: A Comprehensive Survey

MH Khoshafa, O Maraqa, JM Moualeu… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

Parallel dispatching: An ACP-based high-speed railway intelligent dispatching system

W Xu, C Zhao, X Dai, Z Yuan, T Zhang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The antiquated method of train dispatching relying solely on dispatchers' knowledge is
unable to meet the need for rapid response and effective solutions in emergency situations …

Eco-driving strategy optimization for high-speed railways considering dynamic traction system efficiency

M Feng, Y Huang, S Lu - IEEE Transactions on Transportation …, 2023 - ieeexplore.ieee.org
In modern high-speed railway (HSR) systems, some pivot components of the train traction
system conduct energy conversion with a certain efficiency. With different train operational …

Transformer-based macroscopic regulation for high-speed railway timetable rescheduling

W Xu, C Zhao, J Cheng, Y Wang, Y Tang… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
Unexpected delays in train operations can cause a cascade of negative consequences in a
high-speed railway system. In such cases, train timetables need to be rescheduled …

Expert system-based multiagent deep deterministic policy gradient for swarm robot decision making

Z Wang, X Jin, T Zhang, J Li, D Yu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In this article, an expert system-based multiagent deep deterministic policy gradient (ESB-
MADDPG) is proposed to realize the decision making for swarm robots. Multiagent deep …

Parallel testing for centralized traffic control systems of intelligent railways

W Xu, X Dai, C Zhao, Y Tang, J Cheng… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The centralized traffic control (CTC) system of intelligent railways plays a vital role in
implementing railway dispatching, improving transportation efficiency, and ensuring train …

A comprehensive study on reinforcement learning application for train speed profile optimization

MA Sandidzadeh, P Havaei - Multimedia Tools and Applications, 2023 - Springer
Optimizing energy consumption in public transportation systems is a severe issue as the
cost of energy increases over time. Since a palpable part of energy in transportation systems …

Review of Studies on Energy‐Efficient Train Operation in High‐Speed Railways

C Zhu, J Lu, X Li - IEEJ Transactions on Electrical and …, 2023 - Wiley Online Library
Energy‐efficient train operation (EETO) in high‐speed railways (HSRs) is an extra cost‐
effective and flexible means to promote energy‐saving. This paper first examines the energy …

A fast-solved model for energy-efficient train control based on convex optimization

M Feng, K Wu, S Lu - arXiv preprint arXiv:2201.10731, 2022 - arxiv.org
In modern rail transportation, energy-efficient train control (EETC) is concerned with the
optimal train speed trajectory or control strategies to achieve the minimum energy cost under …