With the acceleration of urbanization and the continuous increase in car ownership, urban transportation problems have become an important factor restricting urban development. The purpose of this paper is to explore the construction and application of an intelligent urban transportation system based on the Internet of Things (IoT) to address the increasingly severe urban transportation problems. To achieve this goal, a method of system modeling, experimental design, and verification was adopted. First, build a smart city transportation system model based on IoT, clarifying the functions and components of the perception layer, network layer, data layer, and application layer. Next, a real experimental environment was set up and an experimental plan was designed to verify the performance of the system. The results show that the system can improve traffic efficiency, reduce travel time, and to some extent reduce environmental pollution. The conclusion indicates that IoT-driven smart city transportation systems have high intelligence, real-time performance, and accuracy, and can comprehensively monitor and manage urban transportation, providing solid support for sustainable transportation development.
Sun et al. (Tue,) studied this question.
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