[HTML][HTML] Deep Learning for Predicting Traffic in V2X Networks
AR Abdellah, A Muthanna, MH Essai, A Koucheryavy - Applied Sciences, 2022 - mdpi.com
Artificial intelligence (AI) is capable of addressing the complexities and difficulties of fifth-
generation (5G) mobile networks and beyond. In this paradigm, it is important to predict …
generation (5G) mobile networks and beyond. In this paradigm, it is important to predict …
[PDF][PDF] A novel optimized LSTM networks for traffic prediction in VANET
S Christalin Nelson, M Tapan Kumar… - Journal of System and …, 2022 - aasmr.org
A network of vehicular cyber-physical systems uses wireless communications or Internet for
efficient data transfer, which includes, safety, transportation details, mobility and …
efficient data transfer, which includes, safety, transportation details, mobility and …
VANET traffic prediction using LSTM with deep neural network learning
AR Abdellah, A Koucheryavy - Internet of Things, Smart Spaces, and Next …, 2020 - Springer
Vehicular ad hoc networks (VANETs) are a promising technology that enables the
communication between vehicles on roads. It becomes an emerging topic that integrates the …
communication between vehicles on roads. It becomes an emerging topic that integrates the …
Network traffic prediction model considering road traffic parameters using artificial intelligence methods in VANET
SS Sepasgozar, S Pierre - IEEE Access, 2022 - ieeexplore.ieee.org
Vehicular Ad hoc Networks (VANETs) are established on vehicles that are intelligent and
can have Vehicle-to-Vehicle (V2V) and Vehicle-to-Road Side Units (V2R) communications …
can have Vehicle-to-Vehicle (V2V) and Vehicle-to-Road Side Units (V2R) communications …
Short-term traffic flow prediction of the smart city using 5G internet of vehicles based on edge computing
The paper aims to explore the performance of short-term traffic flow prediction of the 5G (5th
Generation Mobile Communication Technology) Internet of Vehicles (IoV) based on edge …
Generation Mobile Communication Technology) Internet of Vehicles (IoV) based on edge …
An ensemble-based machine learning model for forecasting network traffic in VANET
Vehicular Ad-hoc Networks (VANETs), as the most significant element of the Intelligent
Transportation Systems (ITS), have the potential to enhance traffic efficiency and road safety …
Transportation Systems (ITS), have the potential to enhance traffic efficiency and road safety …
Digital twin for transportation Big data: A reinforcement learning-based network traffic prediction approach
Vehicular Ad-Hoc Networks (VANETs), as the crucial support of Intelligent Transportation
Systems (ITS), have received great attention in recent years. With the rapid development of …
Systems (ITS), have received great attention in recent years. With the rapid development of …
[PDF][PDF] An architecture of deep learning method to predict traffic flow in big data
MV Leelavathi, KJ Sahana Devi - International Journal of Research …, 2016 - academia.edu
The invent of IEEE 802.11 p as a communication standard, specific network protocol called
vehicular adhoc network (VANET) based on mobile adhoc network (MANET) along with …
vehicular adhoc network (VANET) based on mobile adhoc network (MANET) along with …
Deep learning-based network traffic prediction for secure backbone networks in internet of vehicles
Internet of Vehicles (IoV), as a special application of Internet of Things (IoT), has been widely
used for Intelligent Transportation System (ITS), which leads to complex and heterogeneous …
used for Intelligent Transportation System (ITS), which leads to complex and heterogeneous …
AI-based Traffic Forecasting in 5G network
M Mohseni, S Nikan, A Shami - 2022 IEEE Canadian …, 2022 - ieeexplore.ieee.org
Forecasting of the telecommunication traffic is the foundation for enabling intelligent
management features as cellular technologies evolve toward fifth-generation (5G) …
management features as cellular technologies evolve toward fifth-generation (5G) …