Introduction: In recent years, a new computing paradigm called the Internet of Things has emerged. The use of the Internet of Things in vehicle networks introduces a new technology for communication between vehicles. The Internet of Things, with smart technologies, connects vehicles with the real and digital world. The Internet of Things collects, generates, processes, analyzes, and manages information in the field of vehicle transportation using advanced technologies in line with sustainable urban development. The use of this technology in public vehicles improves the ability of vehicles in urban transportation and saves transportation time, fuel, people's time, and also reduces greenhouse gases.
Methods and Material: n this paper, a proposal is presented for sustainable urban development for vehicle transportation in large environments. In the proposed method, all vehicles in the considered environment are clustered based on a criterion to control vehicles to prevent traffic jams. First, each vehicle is equipped with sensors that have the power to receive, process, and transmit data from one vehicle to another. By equipping each vehicle with a sensor, the vehicle is able to receive speed, data, and other information from other vehicles and also has the power to transmit it to other vehicles. After equipping the vehicles with sensors, clustering is performed based on the speed of the vehicles. In each cluster, a vehicle with an average speed is selected as the cluster head from among the cluster members. The cluster head is responsible for controlling the cluster members and if the members exceed the specified speed, they are transferred to another cluster.
Conclusion: Experiments show that the proposed method significantly reduces fuel consumption, transportation time, and air pollution compared to the normal mode by controlling vehicle speed. Ultimately, it contributes to the development and sustainability of the city by reducing greenhouse gases.