A Novel Deep Stacking-Based Ensemble Approach for Short-Term Traffic Speed Prediction

A Novel Deep Stacking-Based Ensemble Approach for Short-Term Traffic Speed Prediction

Advanced technologies, driven by extensive data analysis, support the concept of intelligent cities, which aim to enhance the quality of people’s lives, minimize the consumption of energy, reduce pollution, and promote economic growth. The transportation network is a crucial component of...

Full description

Bibliographic Details
Main Authors: Anees Ahmed Awan, Abdul Majid, Rabia Riaz, Sanam Shahla Rizvi, Se Jin Kwon
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Traffic speed prediction
ensemble learning
machine learning
deep learning
stacking-based ensemble learning
Online Access:https://ieeexplore.ieee.org/document/10412047/

Internet

https://ieeexplore.ieee.org/document/10412047/

Similar Items