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An estimation framework to quantify railway disruption parameters
Bhagya Shrithi Grandhi
, Emmanouil Chaniotakis
, Stephan Thomann
, Felix Laube
,
Constantinos Antoniou
Chair of Transportation Systems Engineering
Technische Universität Braunschweig
University College London (UCL)
Traffic Management Systems
Research output
:
Contribution to journal
›
Article
›
peer-review
9
Scopus citations
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Keyphrases
Competing Models
33%
Delay Modeling
33%
Dispatcher
33%
Estimation Framework
100%
Improved Prediction
33%
Incident Data
33%
Incident Duration
33%
Incident Impacts
66%
Informed Decision-making
33%
Long Delay
33%
Machine Learning Models
33%
Network Delay
33%
Network Operation
33%
Neural Network
33%
Railway
66%
Railway Accident
33%
Railway Disruption
100%
Railway Network
33%
Response Variable
33%
Standalone Model
33%
Total Delay
66%
Traffic Management System
33%
Computer Science
Informed Decision
100%
Machine Learning Model
100%
Network Operation
100%
Neural Network
100%
Related Attribute
100%
Response Variable
100%
Traffic Management System
100%