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Railway Systems and Energy Efficiency
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on the optimization of railway scheduling and operations, including train scheduling, railway timetabling, energy efficiency, traffic management, rescheduling algorithms, urban rail systems, regenerative braking, optimal control, passenger demand-oriented planning, and sustainable transportation.
16
Works
IDs:OpenAlex
How has Railway Systems and Energy Efficiency's publication output changed over time?
ScholarIQpublication output · 2014–2024
Output grew0% over the shown period — from 1 works in 2014 to 1 in 2024.
1
2
1
1
2014202020222024
What are the most-cited papers on Railway Systems and Energy Efficiency?
ScholarIQmost cited works
Fuzzy control system design for wheel slip prevention and tracking of desired speed profile in electric trains
Bijan Moaveni, Fatemeh Rashidi Fathabadi, Ali Molavi
S103568991. 202044 CitationsOPEN ACCESS
A Novel Security Risk Analysis Using the AHP Method in Smart Railway Systems
İsa Avcı, Murat Koca
Applied Sciences. 202418 CitationsOPEN ACCESS
Early warning system for potential train collisions: Enhancing safety levels of high-speed trains
Jiang Liu, Baigen Cai, Jian Wang
S97582030. 20149 Citations
Track Map–Aided Capture of Virtual Balises: A Compatible Approach to Satellite-Based Railway Train Control
Jiang Liu, Baigen Cai, Jian Wang, Debiao Lu
S131000621. 20208 Citations
Track Utilization Optimization Method for Arrival Yard of Marshalling Station Considering Arrival and Break-Up Coordination Operation
Weiya Chen, Wei-Ting Yang, Guangdong Zhang
S4210192031. 20228 CitationsOPEN ACCESS
Where is Railway Systems and Energy Efficiency research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Railway Systems and Energy Efficiency is open access?
ScholarIQopen access share
60%OPEN ACCESS
Gold
40%
Green
20%
Hybrid
0%
Bronze
0%
Closed
40%
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Supervisory predictive control for wheel slip prevention and tracking of desired speed profile in electric trains
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Fuzzy control system design for wheel slip prevention and tracking of desired speed profile in electric trains
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