Issue of the fog computing application in intelligent transport systems

With the rapid development of automotive technologies and the increase in the number of cars, intelligent transportation systems are becoming an indispensable tool for creating a more efficient, comfortable and sustainable urban environment. This article is devoted to the design of the transport system architecture based on the V2S standard and the concept of fog computing in order to reduce delays in data transmission, improve the efficiency of decision-making and increase the reliability of traffic management. To justify the effectiveness of the proposed approach, simulation modeling of the cloud and fog architectures of the Internet of Things system is carried out. The work analyzes key parameters such as data transmission delay, server load, and cost-effectiveness. The results show that fog computing significantly reduces delays but requires more computing resources, while the cloud architecture minimizes the load on servers but may encounter delays. The study emphasizes the importance of choosing an appropriate architecture depending on the requirements for processing speed and network resources.