Improved Transportation Model with Internet of Things Using Artificial Intelligence Algorithm

In this paper, the application of transportation systems in real-time traffic conditions is evaluated with data handling representations. The proposed method designed such a way as to detect number loads that are present vehicle where functionality tasks computed system. Compared existing approach, design model made by dividing computing areas into several cluster regions, thereby reducing complex monitoring system control errors minimized. Furthermore, route management technique combined Artificial Intelligence (AI) algorithm transmit appropriate central servers. Therefore, objective case studies examined minimization and maximization criteria, thus increasing efficiency method. Finally, four scenarios chosen investigate projected design’s effectiveness. all simulated metrics, approach provides better operational outcomes for an average percentage 97, amount conditions.