<p>In modern intelligent transportation systems, Vehicle-to-Everything (V2X) communication is essential for enabling smooth communication between pedestrians, infrastructure, vehicles and networks. The diverse service requirements and dynamic network conditions in the resource allocation are a key challenge. In this paper, we propose an Intelligent Fuzzy system called Intelligent Fuzzy Logic-Based Priority Resource Allocation (FPRA). This algorithm manages radio resources in V2X networks dynamically adjusts resource allocation based on vital parameters such as vehicle density, network conditions, and service classification. This approach is based on adaptive priority management with distributed decision-making which enhances resource utilization and reduces latency. Simulation results confirm the effectiveness of the proposed method, showing improved throughput, latency, and scalability compared with the centralized and distributed approaches.</p>