Implications of Spatiotemporal Data Aggregation on Short-Term Traffic Prediction Using Machine Learning Algorithms

Implications of Spatiotemporal Data Aggregation on Short-Term Traffic Prediction Using Machine Learning Algorithms

Short-term traffic prediction is a key component of Intelligent Transportation Systems. It uses historical data to construct models for reliably predicting traffic state at specific locations in road networks in the near future. Despite being a mature field, short-term traffic prediction still poses...

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Bibliographic Details
Main Authors:	Rivindu Weerasekera, Mohan Sridharan, Prakash Ranjitkar
Format:	Article
Language:	English
Published:	Wiley 2020-01-01
Series:	Journal of Advanced Transportation
Online Access:	http://dx.doi.org/10.1155/2020/7057519
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