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Predicting Freeway Incident Duration Using Machine Learning
Khaled Hamad
, Mohamad Ali Khalil
, Abdul Razak Alozi
University of Sharjah
Research output
:
Contribution to journal
›
Article
›
peer-review
27
Scopus citations
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Engineering
Highway Systems
100%
Gaussians
100%
Mean Absolute Error
100%
Support Vector Machine
100%
Learning System
100%
Artificial Neural Network
66%
Road
33%
Machine Learning Technique
33%
Traffic Management
33%
Mathematical Model
33%
Computer Science
Support Vector Machine
100%
Mean Absolute Error
100%
Machine Learning
100%
Learning System
100%
Neural Network
66%
Decision Tree
66%
Machine Learning Technique
33%
Regression Tree
33%
Traffic Management
33%
Earth and Planetary Sciences
Machine Learning
100%
Kriging
100%
Support Vector Machine
100%
Artificial Neural Network
66%
State of the Art
33%
Agricultural and Biological Sciences
Kriging
100%
Support Vector Machine
100%
Neural Network
66%
Mathematical Model
33%
Chemical Engineering
Learning System
100%
Support Vector Machine
100%
Neural Network
66%