Cellular traffic prediction with machine learning: A survey
W Jiang - Expert Systems with Applications, 2022 - Elsevier
Cellular networks are important for the success of modern communication systems, which
support billions of mobile users and devices. Powered by artificial intelligence techniques …
support billions of mobile users and devices. Powered by artificial intelligence techniques …
Comparison of machine learning techniques applied to traffic prediction of real wireless network
D Alekseeva, N Stepanov, A Veprev… - IEEE …, 2021 - ieeexplore.ieee.org
Today, the traffic amount is growing inexorably due to the increase in the number of devices
on the network. Researchers analyze traffic by identifying sophisticated dependencies …
on the network. Researchers analyze traffic by identifying sophisticated dependencies …
A new framework for regional traffic volumes estimation with large-scale connected vehicle data and deep learning method
Connected vehicle (CV) data in this paper refer to the in-vehicle telematic data, including
trajectories and driving events (eg, hard braking) collected by vehicle manufacturers when …
trajectories and driving events (eg, hard braking) collected by vehicle manufacturers when …
A Study on the Development of Traffic Volume Estimation Model Based on Mobile Communication Data Using Machine Learning
D Oh, S Yoon, C Lee… - The Journal of The Korea …, 2023 - koreascience.kr
This study develops an optimal mobile-communication-based National Highway traffic
volume estimation model using an ensemble-based machine learning algorithm. Based on …
volume estimation model using an ensemble-based machine learning algorithm. Based on …