Design an Intelligent Model for Controlling and Monitoring Vehicles

Smart transport is an indispensable necessity in today's smart cities. In this thesis, six scenarios were implemented based on intelligent transportation. In the first scenario, the speed control process was implemented. In the second and third scenarios, the process of traffic planning was even and odd. In the fourth scenario, the vehicle relief system was implemented. In the fifth scenario, an emergency relief system was implemented. In the sixth scenario, the message was executed at the time of the car theft.The message delivery process has been fully implemented in the smart city area so that all vehicles in the smart transport process receive the message. Only send the message to fixed target nodes and send it to the cars passing by. The first challenge of this thesis is the selection of these target constant nodes, which is implemented using the fuzzy ranked idealized programming algorithm. After solving the first challenge due to the communication board problem in the car network, the challenge of routing the message from the access point to the fixed node is raised. The solution to this challenge is computed using the Dijkstra algorithm and compared with the eTGMD algorithm in terms of message delivery rate, delivery delay, number of packets used, and number of fixed target nodes. The results of the proposed algorithm show a good and optimal improvement over the eTGMD algorithm.