[HTML][HTML] A review of the energy efficiency improvement in DC railway systems

M Popescu, A Bitoleanu - Energies, 2019 - mdpi.com
This study is focused on the topical issue of increasing the energy efficiency in DC railway
systems, in the context of global concerns for reducing the CO2 emissions by minimizing the …

An energy-efficient train operation approach by integrating the metro timetabling and eco-driving

S Su, X Wang, Y Cao, J Yin - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
Energy-efficient train operation is regarded as an effective way to reduce the operational
cost and carbon emissions in metro systems. Reduction of the traction energy and …

[HTML][HTML] Wayside energy recovery systems in DC urban railway grids

F Meishner, DU Sauer - ETransportation, 2019 - Elsevier
In modern electrified and rail-bound mass transit vehicles, a considerable part of the braking
energy is still dissipated via resistors. This applies in particular to less connected and low …

Recuperation of regenerative braking energy in electric rail transit systems

M Khodaparastan, AA Mohamed… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Electric rail transit systems are the large consumers of energy. In trains with regenerative
braking capability, a fraction of the energy used to power a train is regenerated during …

Cooperative train control during the power supply shortage in metro system: A multi-agent reinforcement learning approach

X Wang, A D'Ariano, S Su, T Tang - Transportation Research Part B …, 2023 - Elsevier
In metro system, the fault of traction power supply system may cause the power supply
shortage around the failure substation. In this case, the dispatching measure should be …

[HTML][HTML] Deep deterministic policy gradient virtual coupling control for the coordination and manoeuvring of heterogeneous uncertain nonlinear high-speed trains

G Basile, DG Lui, A Petrillo, S Santini - Engineering Applications of Artificial …, 2024 - Elsevier
The new railway mobility paradigm Virtual Coupling, recognized as one of the most
promising solutions to face the ever-increasing demand in railway transportation and the …

Operational design for shuttle systems with modular vehicles under oversaturated traffic: Continuous modeling method

Z Chen, X Li, X Zhou - Transportation Research Part B: Methodological, 2020 - Elsevier
Time-varying capacity design holds an opportunity to reduce the energy consumption of
urban mass transit systems, eg, urban rail transits, bus rapid transits, modular autonomous …

Smart train operation algorithms based on expert knowledge and reinforcement learning

K Zhou, S Song, A Xue, K You… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
During decades, the automatic train operation (ATO) system has been gradually adopted in
many subway systems for its low-cost and intelligence. This article proposes two smart train …

Deep learning based energy efficient optimal timetable rescheduling model for intelligent metro transportation systems

P Kuppusamy, S Venkatraman, CA Rishikeshan… - Physical …, 2020 - Elsevier
Due to the recent advances in intelligent transportation systems (ITS), Automatic Train
System (ATS) gained significant attention among the research community. An effective ATS …

An integrated optimization model of metro energy consumption based on regenerative energy and passenger transfer

D He, Y Yang, Y Chen, J Deng, S Shan, J Liu, X Li - Applied energy, 2020 - Elsevier
Energy consumption by metro trains has attracted considerable attention due to economic
and environmental concerns. Passengers want convenient travel that takes less time. Based …