Review of energy-efficient train control and timetabling

GM Scheepmaker, RMP Goverde, LG Kroon - European Journal of …, 2017 - Elsevier
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 …

A survey on energy-efficient train operation for urban rail transit

X Yang, X Li, B Ning, T Tang - IEEE Transactions on Intelligent …, 2015 - ieeexplore.ieee.org
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 …

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 …

The key principles of optimal train control—Part 1: Formulation of the model, strategies of optimal type, evolutionary lines, location of optimal switching points

A Albrecht, P Howlett, P Pudney, X Vu… - … Research Part B …, 2016 - Elsevier
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 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 …

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 …

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 …

Timetable optimization for regenerative energy utilization in subway systems

H Liu, MC Zhou, X Guo, Z Zhang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
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 …

An actor-critic deep reinforcement learning approach for metro train scheduling with rolling stock circulation under stochastic demand

C Ying, AHF Chow, KS Chin - Transportation Research Part B …, 2020 - Elsevier
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 …

Joint optimization of high-speed train timetables and speed profiles: A unified modeling approach using space-time-speed grid networks

L Zhou, LC Tong, J Chen, J Tang, X Zhou - Transportation Research Part B …, 2017 - Elsevier
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 …