A Nonlinear Autoregressive Model with Exogenous Variables for Traffic Flow Forecasting in Smaller Urban Regions

A Nonlinear Autoregressive Model with Exogenous Variables for Traffic Flow Forecasting in Smaller Urban Regions

Data-driven forecasting methods have the problems of complex calculations, poor portability and need a large amount of training data, which limits the application of data-driven methods in small cities. This paper proposes a traffic flow forecasting method using a Nonlinear AutoRegressive model with...

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Bibliographic Details
Main Authors: Junzhuo Li, Wenyong Li, Guan Lian
Format: Article
Language:English
Published: University of Zagreb, Faculty of Transport and Traffic Sciences 2022-12-01
Series:Promet (Zagreb)
Subjects:
intelligent transportation system
traffic flow forecasting
time series
narx model
traffic data
Online Access:https://traffic2.fpz.hr/index.php/PROMTT/article/view/153

Internet

https://traffic2.fpz.hr/index.php/PROMTT/article/view/153

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