Vehicular edge computing: Architecture, resource management, security, and challenges

R Meneguette, R De Grande, J Ueyama… - ACM Computing …, 2021 - dl.acm.org
Vehicular Edge Computing (VEC), based on the Edge Computing motivation and
fundamentals, is a promising technology supporting Intelligent Transport Systems services …

Fusion of engineering insights and emerging trends: Intelligent urban traffic management system

AA Ouallane, A Bakali, A Bahnasse, S Broumi… - Information Fusion, 2022 - Elsevier
Traffic congestion is a great concern, especially in urban areas where the vehicles' number
on roads continues to intensify significantly against the slow development of road …

Vehicular intelligence in 6G: Networking, communications, and computing

H Guo, X Zhou, J Liu, Y Zhang - Vehicular Communications, 2022 - Elsevier
With the deployment of 5G, researchers and experts begin to look forward to 6G. They
predict that 6G will be the key driving force for information interaction and social life after …

A novel framework to avoid traffic congestion and air pollution for sustainable development of smart cities

S Singh, J Singh, SB Goyal, SS Sehra, F Ali… - Sustainable Energy …, 2023 - Elsevier
Traffic management is crucial for the sustainable development of smart cities. There has
been a continuous emphasis from the research community to predict air quality and manage …

Entropy-based traffic flow labeling for CNN-based traffic congestion prediction from meta-parameters

MZ Mehdi, HM Kammoun, NG Benayed… - IEEE …, 2022 - ieeexplore.ieee.org
Traffic congestion affects quality of life by inducing frustration and wasting time. The
congestion is also critical to vehicles with high emergencies such as ambulances or police …

Traffic density classification for multiclass vehicles using customized convolutional neural network for smart city

D Mane, R Bidwe, B Zope, N Ranjan - Communication and Intelligent …, 2022 - Springer
Building a traffic monitoring system for intelligent transportation systems (ITS) in the
developing smart cities has drawn in a mass of consideration in the latest past. Since the …

Predictive congestion control based on collaborative information sharing for vehicular ad hoc networks

TS Gomides, E Robson, RI Meneguette… - Computer Networks, 2022 - Elsevier
Traffic jams are an essential and continuous challenge in our cities, responsible for
socioeconomic and environmental concerns and an ambitious traffic jams management …

Intelligent multi-connectivity based energy-efficient framework for smart city

B Priya, J Malhotra - Journal of Network and Systems Management, 2023 - Springer
Smart city enhances the intelligence and sustainability of the city assets through advanced
and diversified applications characterised by specific Quality of Service requirements. To …

An optimal path-finding algorithm in smart cities by considering traffic congestion and air pollution

E Ghaffari, AM Rahmani, M Saberikamarposhti… - IEEE …, 2022 - ieeexplore.ieee.org
Finding the shortest and cleanest path in the cities is vital, especially in metropolises.
Although several algorithms and some software have been introduced to manage the traffic …

[HTML][HTML] Real-Time Self-Adaptive Traffic Management System for Optimal Vehicular Navigation in Modern Cities

Y Benmessaoud, L Cherrat, M Ezziyyani - Computers, 2023 - mdpi.com
The increase in private car usage in cities has led to limited knowledge and uncertainty
about traffic flow. This results in difficulties in addressing traffic congestion. This study …