Engineering emergence: a survey on control in the world of complex networks

C Berceanu, M Pătrașcu - Automation, 2022 - mdpi.com
Complex networks make an enticing research topic that has been increasingly attracting
researchers from control systems and various other domains over the last two decades. The …

Reinforcement learning for online dispatching policy in real-time train timetable rescheduling

P Yue, Y **, X Dai, Z Feng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Train Timetable Rescheduling (TTR) is a crucial task in the daily operation of high-speed
railways to maintain punctuality and efficiency in the presence of unexpected disturbances …

[HTML][HTML] A decision making procedure for robust train rescheduling based on mixed integer linear programming and Data Envelopment Analysis

G Cavone, M Dotoli, N Epicoco, C Seatzu - Applied Mathematical Modelling, 2017 - Elsevier
This paper presents a self-learning decision making procedure for robust real-time train
rescheduling in case of disturbances. The procedure is applicable to aperiodic timetables of …

Combined optimization of maintenance works and crews in railway networks

N Gkonou, E Nisyrios, K Gkiotsalitis - Applied Sciences, 2023 - mdpi.com
This study develops optimal maintenance schedules for train lines, a critical endeavor
ensuring the safety, efficiency, and reliability of railway networks. The study addresses the …

An integrated rescheduling model for minimizing train delays in the case of line blockage

M Shakibayifar, A Sheikholeslami, F Corman… - Operational …, 2020 - Springer
Disturbances in rail networks propagate delays and reduce the reliability and stability of the
train schedules. Thus, it is essential to manage the disturbances in rail networks. Railway …

Railway disruption: a bi-level rescheduling algorithm

G Cavone, L Blenkers, T Van Den Boom… - … on Control, Decision …, 2019 - ieeexplore.ieee.org
The real-time rescheduling of railway traffic in case of unexpected events is a challenging
task. This is mainly due to the complexity of the railway service, which has to ensure safety …

Stochastic model predictive control of community energy storage under high renewable penetration

P Scarabaggio, R Carli, J Jantzen… - … Conference on Control …, 2021 - ieeexplore.ieee.org
This paper focuses on the robust optimal on-line scheduling of a grid-connected energy
community, where users are equipped with non-controllable (NCLs) and controllable loads …

Reinforcement Learning for Scalable Train Timetable Rescheduling With Graph Representation

P Yue, Y **, X Dai, Z Feng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Train timetable rescheduling (TTR) aims to promptly restore the original operation of trains
after unexpected disturbances or disruptions. Currently, this work is still done manually by …

Increasing the readiness of railway traffic control devices using a functional test generation method

P Drózd, A Rosiński - Applied Sciences, 2023 - mdpi.com
Railway traffic control (RTC) equipment are technical devices developed for maintaining the
safety of rail vehicle traffic operation, and must satisfy certain requirements related to a …

Detecting ship** container impacts with vertical cell guides inside container ships during handling operations

S Jakovlev, T Eglynas, M Voznak, M Jusis, P Partila… - Sensors, 2022 - mdpi.com
Due to the mechanical nature of container handling operations, as well as natural factors,
container and handling infrastructure suffers various types of damage during use, especially …