Short-term Traffic Flow Prediction Using Artificial Intelligence with Periodic Clustering and Elected Set
Forecasting short-term traffic flow using historical data is a difficult goal to achieve due to the randomness of the event. Due to the lack of a solid approach to short-term traffic prediction, the researchers are still working on novel approaches. This study aims to develop an algorithm that dynam...
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Format: | Article |
Language: | English |
Published: |
University of Zagreb, Faculty of Transport and Traffic Sciences
2020-02-01
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Series: | Promet (Zagreb) |
Subjects: | |
Online Access: | https://traffic.fpz.hr/index.php/PROMTT/article/view/3154 |