USING CLOUD COMPUTING TO IMPROVE URBAN TRAFFIC MANAGEMENT AND OPTIMIZATION SYSTEM

At the modern society, one of the essential infrastructures is transportation. Performance of transportation systems is important for personal commuting, commerce and economic growth of all countries. Over the years, the modern society has faced increased traffic, increased fuel cost and increased rate of pollutants. According to the abovementioned, improvement of traffic management in urban transportation is an important issue. Development of sustainable intelligent transportation management system needs integration and the capability of cooperation with emerging technologies such as internet-connected vehicles, cloud computing and internet of things (IoT). In this study, architecture is proposed for integration of management of urban transportation traffic, which is sensitive to motion and is error-tolerable and scalable. Using simulation, the performance of this system is tested and the results are discussed.