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 …

Deep reinforcement learning with reference system to handle constraints for energy-efficient train control

M Shang, Y Zhou, H Fujita - Information Sciences, 2021 - Elsevier
Train energy-efficient control involves complicated optimization processes subject to
constraints such as speed, time, position and comfort requirements. Conventional …

Deep deterministic policy gradient for high-speed train trajectory optimization

L Ning, M Zhou, Z Hou, RMP Goverde… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This paper proposes a novel train trajectory optimization approach for high-speed railways.
We restrict our attention to single train operation scenarios with different scheduled …

Energy-efficient automatic train operation for high-speed railways: Considering discrete notches and neutral sections

G Wei, S Zhu, Y Wang, W Chen, S Lu, S Sha… - … Research Part C …, 2022 - Elsevier
The energy-efficient driving of automatic train operation (ATO) system in high-speed railway
systems has attracted more and more attention. Different from the energy-efficient automatic …

Quadratically Constrained Linear Programming-based energy-efficient driving for High-speed Trains with neutral zone and time window

P Ying, X Zeng, A D'Ariano, D Pacciarelli… - … Research Part C …, 2023 - Elsevier
Among the numerous challenges that are faced during the daily operation of high-speed rail,
the management of the neutral zones in the catenary during unexpected disturbances …

A novel approach for decreasing driving energy consumption during coasting and cruise for the railway vehicle

D Zhang, YY Tang, QY Peng - Energy, 2023 - Elsevier
As for a railway vehicle, its kinetic energy comes from driving energy and is the practical
motive power to push the vehicle forward. It is necessary to enhance the conversion …

Novel strategies based on a gradient boosting regression tree predictor for dynamic multi-objective optimization

K Gao, L Xu - Expert Systems with Applications, 2024 - Elsevier
Prediction-based dynamic multiobjective optimization evolutionary algorithms have become
one of the mainstream methods for solving dynamic multiobjective optimization problems …

Robust energy-efficient train speed profile optimization in a scenario-based position—Time—Speed network

Y Cheng, J Yin, L Yang - Frontiers of Engineering Management, 2021 - Springer
Train speed profile optimization is an efficient approach to reducing energy consumption in
urban rail transit systems. Different from most existing studies that assume deterministic …

End-edge-cloud collaborative learning-aided prediction for high-speed train operation using LSTM

H Yang, C Wang, K Zhang, S Dong - Transportation Research Part C …, 2024 - Elsevier
This paper aims to incorporate the throttle handle level prediction in high speed train (HST)
operation prediction problem to enable the prediction of HST drivers' activities, in which the …

A coordination optimization for train operation and energy infrastructure control in a metro system

S Yang, J **ong, D Cao, J Wu - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
An advanced metro system becomes imperative towards efficient and sustainable
operations with the rapid growth of urban construction. As the essential factors to implement …