Dynamic scheduling, operation control and their integration in high-speed railways: A review of recent research

X Dai, H Zhao, S Yu, D Cui, Q Zhang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Railway system performances depend on effective dynamic scheduling and train operation
control. The fast expansion and increasing complexity of high-speed railway (HSR) networks …

Challenges toward wireless communications for high-speed railway

B Ai, X Cheng, T Kürner, ZD Zhong… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
High-speed railway (HSR) brings convenience to peoples' lives and is generally considered
as one of the most sustainable developments for ground transportation. One of the important …

Cyber-physical-social system in intelligent transportation

G **ong, F Zhu, X Liu, X Dong, W Huang… - IEEE/CAA Journal of …, 2015 - ieeexplore.ieee.org
A cyber-physical system (CPS) is composed of a physical system and its corresponding
cyber systems that are tightly fused at all scales and levels. CPS is helpful to improve the …

A survey on high-speed railway communications: A radio resource management perspective

S Xu, G Zhu, B Ai, Z Zhong - Computer Communications, 2016 - Elsevier
High-speed railway (HSR) communications will become a key feature supported by
intelligent transportation communication systems. The increasing demand for HSR …

Adaptive iterative learning control for high-speed trains with unknown speed delays and input saturations

H Ji, Z Hou, R Zhang - IEEE Transactions on Automation …, 2015 - ieeexplore.ieee.org
In this paper, an adaptive iterative learning control (AILC) strategy for high-speed trains with
unknown speed delays and control input saturations is designed to address speed trajectory …

Robust event-triggered model predictive control for multiple high-speed trains with switching topologies

H Zhao, X Dai, Q Zhang, J Ding - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper presents a robust event-triggered model predictive control (MPC) strategy for
multiple high-speed trains (MHSTs) with random switching topologies. Due to the …

Intelligent train operation algorithms for subway by expert system and reinforcement learning

J Yin, D Chen, L Li - IEEE Transactions on Intelligent …, 2014 - ieeexplore.ieee.org
Current research in automatic train operation concentrates on optimizing an energy-efficient
speed profile and designing control algorithms to track the speed profile, which may reduce …

Parallel transportation management and control system and its applications in building smart cities

F Zhu, Z Li, S Chen, G **ong - IEEE Transactions on Intelligent …, 2016 - ieeexplore.ieee.org
Advancements in complexity, complex systems, and the intelligence sciences, particularly
smart city technologies, have shown great potential in aiding to ease traffic congestion. The …

Dissipative sampled-data control for high-speed train systems with quantized measurements

X Cai, K Shi, S Zhong, X Pang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This study focuses on the novel dissipative sampled-data control mechanism for high-speed
trains systems (HSTSs) with quantized measurements. Firstly, an improved time-delay …

An integrated metro operation optimization to minimize energy consumption

N Zhao, C Roberts, S Hillmansen, Z Tian… - … Research Part C …, 2017 - Elsevier
Energy efficient techniques are receiving increasing attention because of rising energy
prices and environmental concerns. Railways, along with other transport modes, are facing …