Machine Learning for Traffic Modeling and Prediction
A special issue of Computers (ISSN 2073-431X).
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 36325
Special Issue Editors
Interests: artificial intelligence; natural language processing
Special Issues, Collections and Topics in MDPI journals
Interests: AI; Semantic Web; Ontologies; NLP
Special Issue Information
Dear Colleagues,
Traffic, and in particular traffic accidents, is a matter of high importance. This is due not only to the economic factor but also related to its social, environmental, and even health impact. There is a vast amount of research that applies Artificial Intelligence (AI) approaches, or more specifically, Machine Learning (ML), to deal with traffic-related problems. Recently, AI/ML has been used in modelling and predicting traffic-related subjects such as accidents, speed, flow, and status. There is also work in ML for traffic control, management, and even in traffic-related pollution.
Dr. Paulo Quaresma
Prof. Dr. Vítor Nogueira
Prof. Dr. José Saias
Guest Editors
Manuscript Submission Information
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Keywords
- traffic modeling
- traffic prediction
- traffic accident risk prediction
- datasets on road accidents
- artificial intelligence for road safety
- smart traffic lights
- traffic-related data acquisition in real-time
- intelligent mobility and traffic management for smart cities