Evaluation Modeling of Regional Traffic Congestion Based on Fuzzy AHP

Studying the congestion condition of urban road networks is crucial for effective traffic management.To assess congestion levels, a fuzzy evaluation model is developed, integrating the Analytic Hierarchy Process (AHP) and fuzzy comprehensive evaluation theory.This model offers a structured approach, considering congestion from micro, meso, and macro perspectives.Using the AHP, a three-tiered evaluation index system is formulated, encompassing various congestion factors.A fuzzy consistency discriminant matrix is then used to determine the weights of these factors, establishing thresholds for congestion evaluation intervals.The congestion evaluation set is categorized into five grades: Smooth Traffic, Basically Smooth Traffic, Light Congestion, Moderate Congestion, and Heavy Congestion.To demonstrate the model's effectiveness, congestion data from 14 traffic districts in a specific area of Taiyuan City in 2023 are analyzed.The results confirm the feasibility and accuracy of the model, providing a valuable tool for traffic planners and policymakers.This approach enables informed decisions on infrastructure investments, traffic control strategies, and urban development, ultimately leading to more efficient and sustainable urban road networks.