Short-term traffic flow prediction using a methodology based on autoregressive integrated moving average and genetic programming

Short-term traffic flow prediction using a methodology based on autoregressive integrated moving average and genetic programming

The accurate short-term traffic flow forecasting is fundamental to both theoretical and empirical aspects of intelligent transportation systems deployment. This study aimed to develop a simple and effective hybrid model for forecasting traffic volume that combines the AutoRegressive Integrated Movi...

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Bibliographic Details
Main Authors:	Chengcheng Xu, Zhibin Li, Wei Wang
Format:	Article
Language:	English
Published:	Vilnius Gediminas Technical University 2016-09-01
Series:	Transport
Subjects:	short-term traffic-forecasting hybrid model ARIMA genetic programming
Online Access:	https://journals.vgtu.lt/index.php/Transport/article/view/1495

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