GC-INF: A Novel Adaptive Traffic Control System using Machine Learning for Turning Ratio Predictions.
Ken ChengPublished in: ITSC (2023)
Keyphrases
- control system
- machine learning
- fuzzy logic
- real time
- machine learning methods
- artificial intelligence
- decision trees
- network traffic
- closed loop
- computational intelligence
- fuzzy control
- pattern recognition
- traffic flow
- inductive learning
- control strategy
- machine learning algorithms
- adaptive control
- traffic congestion
- traffic signal control
- model selection
- knowledge acquisition
- natural language processing
- expert systems
- computer science
- computer vision
- learning algorithm
- data mining