A CNN-Bi_LSTM parallel network approach for train travel time prediction
Convolutional neural networks (CNNs) offer a broad technical framework to deal with spatial
feature extraction and nonlinearity capture, whereas they cannot process sequence data …
feature extraction and nonlinearity capture, whereas they cannot process sequence data …
Coordinated demand response of rail transit load and energy storage system considering driving comfort
H Yang, W Shen, Q Yu, J Liu, Y Jiang… - CSEE Journal of …, 2020 - ieeexplore.ieee.org
Electric trains typically travel across the railway networks in an inter-provincial, inter-city and
intra-city manner. The electric train generally serves as a load/source in tractive/brake mode …
intra-city manner. The electric train generally serves as a load/source in tractive/brake mode …
[HTML][HTML] Energy-efficient high-speed train rescheduling during a major disruption
Disruptions are inevitable in daily train operations, and can cause high-speed trains to
deviate from their official schedules. Therefore, the efficient rescheduling of disrupted trains …
deviate from their official schedules. Therefore, the efficient rescheduling of disrupted trains …
Approximate dynamic programming approach to efficient metro train timetabling and passenger flow control strategy with stop-skipping
Urban metro systems continuously face high travel demand during rush hours, which brings
excessive energy waste and high risk to passengers. In order to alleviate passenger …
excessive energy waste and high risk to passengers. In order to alleviate passenger …
Co-optimization of total running time, timetables, driving strategies and energy management strategies for fuel cell hybrid trains
A co-optimization of the total running time, timetables, driving strategies and energy
management is implemented for the world's first commercial fuel cell train Coradia iLint in …
management is implemented for the world's first commercial fuel cell train Coradia iLint in …
Energy-saving optimization strategy of multi-train metro timetable based on dual decision variables: A case study of Shanghai Metro line one
In metro systems, reducing traction energy consumption and increasing the use of
regenerative braking energy (RBE) are two important methods of energy-saving …
regenerative braking energy (RBE) are two important methods of energy-saving …
[HTML][HTML] Direct multiple shooting for computationally efficient train trajectory optimization
Energy efficient train control has been an active field of research for several decades, with
Pontryagin's maximum principle and dynamic programming being the two most common …
Pontryagin's maximum principle and dynamic programming being the two most common …
Train control and schedule integrated optimization with reversible substations
M Chen, Q Wang, P Sun, X Feng - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The Carbon Neutralization is a grand strategy to deal with global climate change. As a major
energy consumer, urban rail transit (URT) system should contribute corresponding solutions …
energy consumer, urban rail transit (URT) system should contribute corresponding solutions …
Headway compression oriented trajectory optimization for virtual coupling of heavy-haul trains
K Zhang, J Gao, Z Xu, H Yang, M Jiang, R Liu - Control Engineering …, 2024 - Elsevier
Joint operation optimization for virtual coupling of heavy-haul trains is hardly performed by
locomotive engineers due to the increasing “harmonic” effects among train groups and …
locomotive engineers due to the increasing “harmonic” effects among train groups and …
Optimal driving strategies for a fleet of trains on level track with prescribed intermediate signal times and safe separation
We propose an analytic solution to the problem of finding optimal driving strategies that
minimize total tractive energy consumption for a fleet of trains traveling on the same track in …
minimize total tractive energy consumption for a fleet of trains traveling on the same track in …