Traffic Road Congestion System using by the internet of vehicles (IoV)
Muhammad Shoaib Farooq, Sawera Kanwal

TL;DR
This paper reviews and analyzes IoV-based traffic congestion control models, highlighting their advantages over traditional systems through systematic literature review and simulation, proposing an efficient vehicular cloud model.
Contribution
It provides a comprehensive systematic literature review of IoV traffic control models and proposes an optimized vehicular cloud-based model for improved traffic management.
Findings
IoV enhances traffic control efficiency
Vehicular cloud models outperform traditional systems
Simulation confirms model effectiveness
Abstract
Traffic problems have increased in modern life due to a huge number of vehicles, big cities, and ignoring the traffic rules. Vehicular ad hoc network (VANET) has improved the traffic system in previous some and plays a vital role in the best traffic control system in big cities. But due to some limitations, it is not enough to control some problems in specific conditions. Now a day invention of new technologies of the Internet of Things (IoT) is used for collaboratively and efficiently performing tasks. This technology was also introduced in the transportation system which makes it an intelligent transportation system (ITS), this is called the Internet of vehicles (IOV). We will elaborate on traffic problems in the traditional system and elaborate on the benefits, enhancements, and reasons to better IOV by Systematic Literature Review (SLR). This technique will be implemented by…
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Taxonomy
TopicsTraffic Prediction and Management Techniques · Vehicular Ad Hoc Networks (VANETs) · IoT and GPS-based Vehicle Safety Systems
