Real-Time Prediction of Urban Traffic Problems Based on Artificial Intelligence-Enhanced Mobile Ad Hoc Networks (MANETS).

A Alhussen, AS Ansari - Computers, Materials & Continua, 2024 - search.ebscohost.com
Traffic in today's cities is a serious problem that increases travel times, negatively affects the
environment, and drains financial resources. This study presents an Artificial Intelligence (AI) …

Towards optimal tuned machine learning techniques based vehicular traffic prediction for real roads scenarios

R Qaddoura, MB Younes, A Boukerche - Ad Hoc Networks, 2024 - Elsevier
Smart cities have been widely investigated, and several algorithms, techniques, and
protocols have recently been developed to serve smart city environments. Intelligent traffic …

Enhancement of vehicular ad hoc networks using machine learning-based prediction methods

LL Cárdenas - 2020 - dialnet.unirioja.es
Society is aware that the ecological predation of the planet is due to human activity.
Therefore, it is necessary to carry out actions to reverse this damage. Besides, the trend of …

Intelligent Transportation System for Sustainable and Efficient Urban Mobility: Machine Learning Approach for Traffic Flow Prediction

M Sreelekha, Midhunchakkaravarthy - International Conference on Multi …, 2024 - Springer
Intelligent transportation systems (ITSs) offer an innovative solution to the escalating
challenges of urban mobility in growing cities. As urbanization continues to rise, cities …

Enhancing intelligence in traffic management systems to aid in vehicle traffic congestion problems in smart cities

GP Rocha Filho, RI Meneguette, JRT Neto, A Valejo… - Ad Hoc Networks, 2020 - Elsevier
One of the main challenges in urban development faced by large cities is related to traffic
jam. Despite increasing efforts to maximize the vehicle flow in large cities, to provide greater …

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 …

[图书][B] A pervasive prediction model for vehicular Ad-hoc network (VANET)

Q Zhang - 2017 - search.proquest.com
The growth of city traffic has contributed to severe traffic congestion and traffic accidents in
the most of the cities in the world. Since people's travel demand rise at a rate usually greater …

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 …

A predictive road traffic management system based on vehicular ad-hoc network

NS Nafi, RH Khan, JY Khan… - 2014 Australasian …, 2014 - ieeexplore.ieee.org
With an increasing number of vehicles on the road, demand for intelligent transportation
systems is on the rise. In this paper, we present a predictive road traffic management system …

Htfm: Hybrid traffic-flow forecasting model for intelligent vehicular ad hoc networks

N Bansal, RS Bali, K Jakhar, MS Obaidat… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
Increased vehicular flow on roads along with proposed deployment of autonomous vehicles
has necessitated the need for accurate traffic forecasting so as to achieve effective route …