Distributed Classification of Traffic Anomalies Using Microscopic Traffic Variables.
Suttipong ThajchayapongEdgar S. García-TreviñoJavier A. BarriaPublished in: IEEE Trans. Intell. Transp. Syst. (2013)
Keyphrases
- network traffic
- traffic patterns
- traffic management
- traffic flow
- pattern recognition
- cooperative
- distributed systems
- machine learning
- classification accuracy
- anomaly detection
- feature extraction
- support vector machine
- pattern classification
- road network
- data sets
- traffic engineering
- high speed networks
- internet traffic
- mobile agents
- traffic data
- decision trees
- supervised learning
- ddos attacks
- target variable
- multi agent
- support vector
- traffic control
- feature space
- image analysis
- traffic accidents
- distributed environment
- traffic congestion
- classification scheme
- text classification
- classification models
- training samples
- real time