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Intelligent Composition of Buffer Times in Railway Scheduling
Cerreto, Fabrizio
(PhD Student)
Nielsen, Otto Anker
(Main Supervisor)
Harrod, Steven
(Supervisor)
Pereira, Francisco Camara
(Examiner)
Preston, John
(Examiner)
Krasemann, Johanna Törnquist
(Examiner)
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
15/12/2014
→
06/09/2018
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Big data
Engineering & Materials Science
100%
Data structures
Engineering & Materials Science
91%
Electric delay lines
Engineering & Materials Science
87%
Analytical models
Engineering & Materials Science
78%
Recovery
Engineering & Materials Science
75%
Planning
Engineering & Materials Science
35%
K-means clustering
Engineering & Materials Science
20%
Random processes
Engineering & Materials Science
19%
Research output
Research output per year
2018
2018
2018
1
Ph.D. thesis
Research output per year
Research output per year
Analytical, Big Data and Simulation Models of Railway Delays
Cerreto, F.
,
2018
,
180 p.
Research output
:
Book/Report
›
Ph.D. thesis
›
Research
Open Access
File
Big data
100%
Data structures
91%
Electric delay lines
87%
Analytical models
78%
Recovery
75%
716
Downloads (Pure)