[HTML][HTML] A literature review of Artificial Intelligence applications in railway systems
Nowadays it is widely accepted that Artificial Intelligence (AI) is significantly influencing a
large number of domains, including railways. In this paper, we present a systematic literature …
large number of domains, including railways. In this paper, we present a systematic literature …
Applications of genetic algorithm and its variants in rail vehicle systems: A bibliometric analysis and comprehensive review
Railway systems are time-varying and complex systems with nonlinear behaviors that
require effective optimization techniques to achieve optimal performance. Evolutionary …
require effective optimization techniques to achieve optimal performance. Evolutionary …
Rail train operation energy-saving optimization based on improved brute-force search
Z **ng, Z Zhang, J Guo, Y Qin, L Jia - Applied Energy, 2023 - Elsevier
Rail train operation energy consumption mainly focuses on train traction energy
consumption. Reducing train traction energy consumption in rail transit operation is …
consumption. Reducing train traction energy consumption in rail transit operation is …
[HTML][HTML] Research on active safety methodologies for intelligent railway systems
Safety is essential when building a strong transportation system. As a key development
direction in the global railway system, the intelligent railway has safety at its core, making …
direction in the global railway system, the intelligent railway has safety at its core, making …
Reinforcement learning for online dispatching policy in real-time train timetable rescheduling
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 …
railways to maintain punctuality and efficiency in the presence of unexpected disturbances …
Prediction of Train Arrival Delay Using Hybrid ELM‐PSO Approach
X Bao, Y Li, J Li, R Shi, X Ding - Journal of Advanced …, 2021 - Wiley Online Library
In this study, a hybrid method combining extreme learning machine (ELM) and particle
swarm optimization (PSO) is proposed to forecast train arrival delays that can be used for …
swarm optimization (PSO) is proposed to forecast train arrival delays that can be used for …
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 …
high-speed railway system. In such cases, train timetables need to be rescheduled …
A multi-objective optimization approach based on an enhanced particle swarm optimization algorithm with evolutionary game theory
K Yin, B Tang, M Li, H Zhao - IEEE Access, 2023 - ieeexplore.ieee.org
Due to conflicts among objectives of multi-objective optimization (MO) problems, it remains
challenging to gain high-quality Pareto fronts for different MO issues. Attempt to handle this …
challenging to gain high-quality Pareto fronts for different MO issues. Attempt to handle this …
Constructing an environmental friendly low-carbon-emission intelligent transportation system based on big data and machine learning methods
T Peng, X Yang, Z Xu, Y Liang - Sustainability, 2020 - mdpi.com
The sustainable development of mankind is a matter of concern to the whole world.
Environmental pollution and haze diffusion have greatly affected the sustainable …
Environmental pollution and haze diffusion have greatly affected the sustainable …
[HTML][HTML] Bus scheduling with heterogeneous fleets: Formulation and hybrid metaheuristic algorithms
This paper focuses on optimizing mixed-fleet bus scheduling (MFBS) with vehicles of
different sizes in public transport systems. We develop a novel mixed-integer nonlinear …
different sizes in public transport systems. We develop a novel mixed-integer nonlinear …