Short-term Traffic Flow Prediction Using Artificial Intelligence with Periodic Clustering and Elected Set

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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Bibliographic Details
Main Author:	Erdem Doğan
Format:	Article
Language:	English
Published:	University of Zagreb, Faculty of Transport and Traffic Sciences 2020-02-01
Series:	Promet (Zagreb)
Subjects:	traffic prediction training set short-term prediction k-means artificial neural networks
Online Access:	https://traffic.fpz.hr/index.php/PROMTT/article/view/3154

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