Using Deep Learning to Detect Anomalies in Traffic Flow.
Manuel MéndezAlfredo IbiasManuel NúñezPublished in: ACIIDS (1) (2022)
Keyphrases
- deep learning
- traffic flow
- detect anomalies
- anomaly detection
- unsupervised learning
- road traffic
- unsupervised feature learning
- traffic data
- travel time
- intelligent transport systems
- cellular automata
- machine learning
- traffic flows
- network traffic
- traffic network
- traffic congestion
- traffic information
- mental models
- road safety
- traffic light
- object recognition
- intrusion detection system
- pattern recognition
- decision trees
- association rules
- neural network
- intrusion detection
- data mining