Scalable Intelligent Traffic Balancing: Advancing Efficiency, Safety, and Sustainability in Urban Transportation Through Machine Learning and AIM Integration.
SeyedeZahra ChamidehWilliam TärnebergMaria KihlPublished in: GCAIoT (2023)
Keyphrases
- machine learning
- transportation networks
- public transportation
- public transport
- transportation systems
- traffic safety
- traffic congestion
- urban traffic
- intelligent transportation systems
- network traffic
- traffic flow
- incident detection
- real time
- traffic flows
- traffic accidents
- artificial intelligence
- computational intelligence
- learning systems
- data mining
- decision trees
- highly efficient
- traveling salesman problem
- machine learning methods
- knowledge acquisition
- decision support system
- natural language processing
- supervised learning
- information extraction
- road network
- feature selection
- computer vision
- learning algorithm
- road safety