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Network Scale Travel Time Prediction using Deep Learning
Yi Hou, Praveen Edara
Center for Integrated Mobility Sciences
University of Missouri
Research output
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Contribution to journal
›
Article
›
peer-review
42
Scopus Citations
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Dive into the research topics of 'Network Scale Travel Time Prediction using Deep Learning'. Together they form a unique fingerprint.
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Computer Science
Prediction Time
100%
Deep Learning Method
100%
Deep Learning Model
50%
Transportation Network
50%
Convolutional Neural Network
25%
Structure Model
25%
Prediction Accuracy
25%
Traffic Condition
25%
Dynamic Traffic
25%
Intelligence Community
25%
Long Short-Term Memory Neural Network
25%
Artificial Intelligence
25%
Engineering
Scale Network
100%
Deep Learning Method
100%
Accurate Prediction
33%
Model Structure
16%
Road Network
16%
Long Short-Term Memory
16%
Artificial Intelligence
16%
Convolutional Neural Network
16%
Psychology
Learning Model
100%
Neural Network
50%
Short-Term Memory
50%
Artificial Intelligence
50%
Chemical Engineering
Deep Learning Method
100%
Long Short-Term Memory
16%
Artificial Intelligence
16%
Neural Network
16%
Economics, Econometrics and Finance
Travel Time
100%
Road Network
25%