A Hybrid Model for Lane-Level Traffic Flow Forecasting Based on Complete Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting

A Hybrid Model for Lane-Level Traffic Flow Forecasting Based on Complete Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting

Accurate and efficient lane-level traffic flow prediction is a challenging issue in the framework of the connected automated vehicle highway system. However, most existing traffic flow forecasting methods concentrate on mining the spatio-temporal characteristics of the traffic flow rather than incre...

Full description

Bibliographic Details
Main Authors: Wenqi Lu, Yikang Rui, Ziwei Yi, Bin Ran, Yuanli Gu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Data mining
lane-level traffic flow
short-term prediction
hybrid model
extreme gradient boosting
complete ensemble empirical mode decomposition
Online Access:https://ieeexplore.ieee.org/document/9018033/

Internet

https://ieeexplore.ieee.org/document/9018033/

Similar Items