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Short-Term Traffic Prediction for Edge Computing-Enhanced Autonomous and Connected Cars
Shun Ren Yang
*
, Yu Ju Su
, Yao Yuan Chang
,
Hui-Nien Hung
*
此作品的通信作者
統計學研究所
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引文 斯高帕斯(Scopus)
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Keyphrases
Edge Computing
100%
Short-term Traffic Flow Prediction
100%
Connected Vehicles
100%
Autonomous Cars
100%
Prediction Model
66%
Experiment Results
66%
Traffic Lights
66%
Vehicle Velocity
66%
Red Light
33%
Low Computational Complexity
33%
Traffic Condition
33%
Cloud Computing
33%
Data-centric
33%
Neural Network Model
33%
Promising Solutions
33%
Limited Computing Resources
33%
Queuing Delay
33%
Smart City
33%
Real-time Changes
33%
Multi-access
33%
Driver Behavior
33%
Light Effect
33%
Periodic Feature
33%
Road Intersection
33%
Algorithm Development
33%
Semi-parametric
33%
Intelligent Transportation
33%
Work Model
33%
European Telecommunication Standard Institute
33%
Experiment Platform
33%
Velocity Model
33%
Mobile Edge Computing
33%
Edge Computing Architecture
33%
Vehicle Velocity Prediction
33%
Long Short-term Memory Neural Network
33%
Traffic Prediction Algorithms
33%
Traffic Light Model
33%
Spatial-temporal Correlation
33%
Traffic Prediction Model
33%
Computer Science
Edge Computing
100%
Traffic Prediction
100%
Prediction Model
75%
Computational Complexity
25%
Traffic Condition
25%
Computer Architecture
25%
Computing Resource
25%
Neural Network Model
25%
Temporal Correlation
25%
Integrated Model
25%
Algorithm Development
25%
Multi-Access Edge Computing
25%
Long Short-Term Memory Neural Network
25%
Cloud Computing
25%
Telecommunication
25%
Smart City
25%