  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 targeting needed papers
through many search phrases. A systematic literature review is used for 121
articles between 2014 and 2023. The IoV technologies and tools are required to
create the IoV and resolve some traffic rules through SUMO (simulation of urban
mobility) which is used for the design and simulation the road traffic. We have
tried to contribute to the best model of the traffic control system. This paper
will analysis two vehicular congestion control models in term of select the
optimized and efficient model and elaborate on the reasons for efficiency by
searching the solution SLR based questions. Due to some efficient features, we
have suggested the IOV based on vehicular clouds. These efficient features make
this model the best and most effective than the traditional model which is a
great reason to enhance the network system.
