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ISSN 2063-5346
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Implementation of the Smart Traffic Management System through Cloud Computing

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Shanmuga Priyan R, Oluwadare Joshua OYEBODE, Parthasarathy K, Dr. A. Kakoli Rao, Annam Takshitha Rao, Dr. K. Manimekalai
» doi: 10.48047/ecb/2023.12.si6.483

Abstract

the computation of traffic systems is more reliable nowadays. Traffic has become a vast and foremost criterion. As such people nowadays are having a car or a bike for their transportation. Transportation has become the predominant one and the buying of vehicles has made their lifestyle good and stable. It also shows their prejudice and their act of living. Thus every normal human being owns a car or a bike nowadays. This made an increase in pollution and even the traffic has increased much. Accidents are also a part of the traffic. The people cannot wait in the traffic for so long that they tend to move forward which leads to traffic accidents. This should be taken care of and the proposed system is making some devotional moves to take care of this hazardous situation. The immense traffic control system should be liable and payable by the government in the smart cities project. The smart city project will be having a great impact on the traffic management system. The great effect of the traffic management system is that it needs to be carried forward for the user and their convenience. The massive change in these systems made a great leap in the eco-system and the production of these proposed models made the user enhance their features in their way. The control units in this proposed system helped the user to define their own rules for transportation and the wise control makes them useful in ranges. The cloud computing platform helps us to maintain data security and competence in the network arena. The main aim of the proposed system helps to maintain the data security of the transportation and the vehicles that pass by the area. The most important part of security lies in the combination of the computation technology used. The enhancement in the place and movement of the vehicle monitoring is enabled through the cloud computing platform. This helps the user to retrieve the data of their stolen vehicle which will be retrieved easily by the stored data sets of their vehicles. The easy identification through neural networks helps the passive communication between the user and the admin. The process of passive communication is computed through the internet of things and its control mechanism

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