The energy consumption of trains is highly efficient due to the low friction between steel
wheels and rails, although the efficiency is also influenced largely by the driving strategy …

Due to rising energy prices and environmental concerns, the energy efficiency of urban rail
transit has attracted much attention from both researchers and practitioners in recent years …

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 …

We discuss the problem of finding an energy-efficient driving strategy for a train journey on
an undulating track with steep grades subject to a maximum prescribed journey time. We …

Short-term prediction of passenger volume is a complex but critical task to urban rail
companies, which desire prediction methods with high accuracy, time efficiency and good …

This paper proposes a novel approach for energy-efficient timetabling by adjusting the
running time allocation of given timetables using train trajectory optimization. The approach …

As a large energy consumer, the railway systems in many countries have been electrified
gradually for the purposes of performance improvement and emission reduction. With the …

In subway systems, kinetic energy can be converted into electrical one by using
regenerative braking systems. If regenerative energy (RE) is fully used, the energy demands …

This paper presents a novel actor-critic deep reinforcement learning approach for metro train
scheduling with circulation of limited rolling stock. The scheduling problem is modeled as a …

This paper considers a high-speed rail corridor that requires high fidelity scheduling of train
speed for a large number of trains with both tight power supply and temporal capacity …