A Hybrid Short-term Traffic Flow Forecasting Method Based on Neural Networks Combined with K-Nearest Neighbor

A Hybrid Short-term Traffic Flow Forecasting Method Based on Neural Networks Combined with K-Nearest Neighbor

It is critical to implement accurate short-term traffic forecasting in traffic management and control applications. This paper proposes a hybrid forecasting method based on neural networks combined with the K-nearest neighbor (K-NN) method for short-term traffic flow forecasting. The procedure of tr...

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Bibliographic Details
Main Authors: Zhao Liu, Jianhua Guo, Jinde Cao, Yun Wei, Wei Huang
Format: Article
Language:English
Published: University of Zagreb, Faculty of Transport and Traffic Sciences 2018-08-01
Series:Promet (Zagreb)
Subjects:
short-term traffic flow forecasting
neural networks
K-nearest neighbor
traffic pattern
Online Access:https://traffic.fpz.hr/index.php/PROMTT/article/view/2651

Internet

https://traffic.fpz.hr/index.php/PROMTT/article/view/2651

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