A hybrid machine learning approach for train trajectory reconstruction under interruptions considering passenger demand
Z Pang, L Wang, L Li - International Journal of Rail Transportation, 2024 - Taylor & Francis
This paper applies a hybrid data-driven prediction and optimization method to study the train
trajectory reconstruction under interruption conditions. A deep reinforcement learning model …
trajectory reconstruction under interruption conditions. A deep reinforcement learning model …
考虑动车组周转和到发线运用的高铁列车运行多计划协同调整
周敏， 顾灏璇， 董海荣， 刘仁伟， 刘瑄 - 自动化学报, 2024 - aas.net.cn
随着我国高速铁路快速发展,“八纵八横” 高铁路网加密成型, 呈现出运行环境复杂,
行车密度高及长交路跨线运营等典型特征. 一旦遭受大风, 红光带, 接触网挂异物和设备故障等突 …
行车密度高及长交路跨线运营等典型特征. 一旦遭受大风, 红光带, 接触网挂异物和设备故障等突 …
Virtual-Coupling-Based Timetable Rescheduling for Heavy-Haul Railways Under Disruptions
X Ma, M Zhou, H Wang, W Song… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As the demand for coal and other ore resources increases, the hauling capacity of heavy-
haul railways is severely challenged. Virtual coupling technology has gained attention for its …
haul railways is severely challenged. Virtual coupling technology has gained attention for its …
Coordinated Rescheduling of Train Timetable and Crew Scheme for Passenger-Freight Collinear Railway
R Wang, M Zhou, H Wang, B Yang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
On a passenger-freight collinear railway, the freight train operation level is comparatively
low, frequently resulting in significant deviations from the original timetable and crew plan in …
low, frequently resulting in significant deviations from the original timetable and crew plan in …
Parallel Dispatching: A New Paradigm for High-Speed Train Operation Management and Optimization
In order to tackle the intricate challenges of train dispatching and command within China's
extensive high-speed railways (HSRs) network, this paper presents a novel parallel …
extensive high-speed railways (HSRs) network, this paper presents a novel parallel …