Network Traffic Prediction Based on Artificial Intelligence in Vehicular Ad-Hoc Networks

S Shaker Sepasgozar - 2022 - publications.polymtl.ca
Le système de transport intelligent" Intelligent Transportation System"(ITS) est une nouvelle
solution pour le transport dans les villes intelligentes et un réseau Ad-hoc véhiculaire" …

An Intelligent Network Traffic Prediction Model Based on Ensemble Learning for Vehicular Ad-Hoc Networks

P Ahmadi Doval Amiri - 2023 - publications.polymtl.ca
Les réseaux véhiculaires Ad Hoc «Vehicular Ad-hoc networks»(VANET) constituent une
partie importante du système de transport intelligent (STI). Les VANET ont le potentiel …

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 …

A Comparative Study of Artificial Intelligence Algorithms for Network Traffic Prediction in VANET

SS Sepasgozar, S Pierre - 2022 18th International Conference …, 2022 - ieeexplore.ieee.org
Increasing the number of vehicles and their communications in smart cities is a critical issue
that leads to road and network traffic. Traffic prediction with high accuracy and less …

Traffic prediction with deep learning for vehicular communication network

J Wang, P Liu - … Conference on Smart Transportation and City …, 2022 - spiedigitallibrary.org
Nowadays, the construction of Internet of vehicles provides a lot of convenience for urban
public safety and transportation. Among them, the prediction of traffic flow based on traffic …

A Novel Optimized AI Based Model for Traffic Prediction in VANET

R Pradeep, K Revathi, AK Thomas… - 2023 5th International …, 2023 - ieeexplore.ieee.org
Research into a novel type of wireless network, the vehicle ad hoc network (VANET), has
gained an increasing research interest in recent years. By exchanging data about things like …

Deep learning mechanism for region based urban traffic flow forecasting

N Bansal, RS Bali - International Conference on Artificial Intelligence of …, 2023 - Springer
Abstract Intelligent Vehicular Ad Hoc Networks which integrates deep learning techniques
with modern vehicular communication networks can play a major role in prediction of …

[PDF][PDF] Analysis of VANET Big Data for Predicting Traffic Congestion in a City

A Angdresey, PK Sahoo - The 12th Workshop on Wireless Ad Hoc …, 2016 - academia.edu
Development and use of positioning technology and sensors can help to collect huge
amount of Vehicular Ad Hoc Network (VANET) traffic data in a realtime basis. Large volume …

Traffic Prediction for Intelligent Transportation System Using Machine Learning

V Swathi, S Yerraboina, G Mallikarjun… - … on Advances in …, 2022 - ieeexplore.ieee.org
It is commonly believed that ITS can assist relieve urban transportation congestion. Traffic
forecasting is the most important function of an ITS. An accurate and timely traffic flow …

[PDF][PDF] An architecture of deep learning method to predict traffic flow in big data

MV Leelavathi, KJ Sahana Devi - Int. J. Res. Eng. Technol., 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 …