Three IoT basedFog computing oriented models are designed in the present work for mitigating traffic congestion. Advancement in the technology like fog computing, Internet of Things (IoT)in Intelligent Transportation Systems (ITS) aid in the more constructive management of traffic congestion. Therefore the need of drastically reducing traffic congestion is a significant concern. The growth of vehicles and inadequate road capacity in the urban area trigger traffic congestion and raise the frequency of road accident. Chosen application results were obtained from simulation studies, are compared with our system to show the significance or the need for the proposed system and its protocol's control actions and strategies. By applying this system on roads, we expect to see an easy traffic flow and more efficient and comfort driving. Initially, the system has five main devices which would co-operate together to provide safety, assistance, and comfort for the drivers. We are proposing a system design with its protocol and set of algorithms to help balancing the road traffic load and make the driving on highways and urban cities roads more comfort. We are taking the opportunity of using Intelligent Transportation Systems (ITS) to overcome the road limitation resultants. Accordingly, the traffic flow is not being run properly (vehicles delay & traffic congestion) and reduces the throughput at the intersections. Traffic congestion is increasingly happening especially at the urban areas because of the increasing population & urbanization. Driving on roads nowadays has a lot of limitations.
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