[HTML][HTML] Accurate traffic flow prediction in heterogeneous vehicular networks in an intelligent transport system using a supervised non-parametric classifier
Heterogeneous vehicular networks (HETVNETs) evolve from vehicular ad hoc networks
(VANETs), which allow vehicles to always be connected so as to obtain safety services …
(VANETs), which allow vehicles to always be connected so as to obtain safety services …
Machine learning-based models for real-time traffic flow prediction in vehicular networks
In recent years, ML-based models are gaining enormous attention from both the automotive
industry and academia to support IoVs. Through the accurate prediction of traffic/road …
industry and academia to support IoVs. Through the accurate prediction of traffic/road …
Deep learning based traffic flow prediction for autonomous vehicular mobile networks
SAA Shah, K Illanko, X Fernando - 2021 IEEE 94th Vehicular …, 2021 - ieeexplore.ieee.org
Accurate traffic flow prediction plays a crucial role in designing Ad hoc vehicular mobile
networks in modern Internet of things (IoT) based intelligent systems. Several deep learning …
networks in modern Internet of things (IoT) based intelligent systems. Several deep learning …
A performance modeling and analysis of a novel vehicular traffic flow prediction system using a hybrid machine learning-based model
A Boukerche, J Wang - Ad Hoc Networks, 2020 - Elsevier
Traffic prediction on the road, as a vital part of the Intelligent Transportation System (ITS) has
attracted much attention recently. It is always one of the hot topics about how to implement …
attracted much attention recently. It is always one of the hot topics about how to implement …
Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systems
A Boukerche, Y Tao, P Sun - Computer networks, 2020 - Elsevier
In recent years, the Intelligent transportations system (ITS) has received considerable
attention, due to higher demands for road safety and efficiency in highly interconnected road …
attention, due to higher demands for road safety and efficiency in highly interconnected road …
Machine learning-based traffic prediction models for intelligent transportation systems
A Boukerche, J Wang - Computer Networks, 2020 - Elsevier
Abstract Intelligent Transportation Systems (ITS) have attracted an increasing amount of
attention in recent years. Thanks to the fast development of vehicular computing hardware …
attention in recent years. Thanks to the fast development of vehicular computing hardware …
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 …
A novel hybrid method for achieving accurate and timeliness vehicular traffic flow prediction in road networks
The efficient and smooth operation of the transportation system is crucial for ensuring the
normal functioning of modern society and people's daily lives. However, the increase in …
normal functioning of modern society and people's daily lives. However, the increase in …
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 …
Qos-aware reliable traffic prediction model under wireless vehicular networks
With the continuous progress of communication quality, the wireless vehicular networks
(WVN) will surely be-come an inevitable part of future smart cities. Inside WVN where …
(WVN) will surely be-come an inevitable part of future smart cities. Inside WVN where …