Review of energy-efficient train control and timetabling
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 …
wheels and rails, although the efficiency is also influenced largely by the driving strategy …
A survey on energy-efficient train operation for urban rail transit
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 …
transit has attracted much attention from both researchers and practitioners in recent years …
An energy-efficient train operation approach by integrating the metro timetabling and eco-driving
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 …
cost and carbon emissions in metro systems. Reduction of the traction energy and …
The key principles of optimal train control—Part 1: Formulation of the model, strategies of optimal type, evolutionary lines, location of optimal switching points
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 …
an undulating track with steep grades subject to a maximum prescribed journey time. We …
Short-term prediction of passenger volume for urban rail systems: A deep learning approach based on smart-card data
X Yang, Q Xue, M Ding, J Wu, Z Gao - International Journal of Production …, 2021 - Elsevier
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 …
companies, which desire prediction methods with high accuracy, time efficiency and good …
Multi-train trajectory optimization for energy-efficient timetabling
P Wang, RMP Goverde - European Journal of Operational Research, 2019 - Elsevier
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 …
running time allocation of given timetables using train trajectory optimization. The approach …
Energy storage devices in electrified railway systems: A review
X Liu, K Li - Transportation safety and environment, 2020 - academic.oup.com
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 …
gradually for the purposes of performance improvement and emission reduction. With the …
Timetable optimization for regenerative energy utilization in subway systems
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 …
regenerative braking systems. If regenerative energy (RE) is fully used, the energy demands …
An actor-critic deep reinforcement learning approach for metro train scheduling with rolling stock circulation under stochastic demand
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 …
scheduling with circulation of limited rolling stock. The scheduling problem is modeled as a …
Joint optimization of high-speed train timetables and speed profiles: A unified modeling approach using space-time-speed grid networks
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 …
speed for a large number of trains with both tight power supply and temporal capacity …