NCAE and ELM Based Enhanced Ensemble Optimized Model for Traffic Flow Forecasting

NCAE and ELM Based Enhanced Ensemble Optimized Model for Traffic Flow Forecasting

Accurate and timely traffic flow forecasting is the key technology to address the issue of urban traffic congestion, which is significant for intelligent transportation system. However, it is a quite challenging task to develop an efficient, robust and automatically generated forecasting model. In t...

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Bibliographic Details
Main Authors: Xinxue Qi, Xizhong Qin, Zhenhong Jia, Mengmeng Lin, Yueli Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Traffic flow forecasting
non-negative constrained sparse autoencoder
extreme learning machine
ensemble learning
feedback enhancement
Online Access:https://ieeexplore.ieee.org/document/9244097/

Internet

https://ieeexplore.ieee.org/document/9244097/

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