Traffic Level Monitoring in Urban Scenarios with Virtual Sensing Techniques Enabled by Embedded Machine Learning.
Francesco MaccantelliGiacomo PeruzziAlessandro PozzebonPublished in: SAS (2023)
Keyphrases
- machine learning
- real time
- monitoring system
- public transport
- traffic congestion
- data acquisition
- artificial intelligence
- computer vision
- transportation networks
- traffic flows
- urban traffic
- information extraction
- virtual reality
- road traffic
- network monitoring
- embedded systems
- network traffic monitoring
- augmented reality
- learning algorithm
- pattern recognition
- virtual world
- knowledge acquisition
- traffic flow
- abnormal situations
- micro controller
- sensing devices
- real world
- computer science
- data analysis
- support vector machine
- traffic management
- sensor networks
- computational intelligence
- learning tasks