A quality evaluation method for intelligent traffic management system based on business data flow.

The article focuses on developing a novel quality evaluation (QE) methodology for Intelligent Traffic Management Systems (ITMS), which are complex cyber-physical systems critical to traffic safety. It identifies limitations in existing evaluation metrics and proposes a dynamic QE model based on ITMS business data flow, incorporating new quality attributes—intelligence, complexity, and interactivity—aligned with ISO/IEC 25010 standards. The methodology includes defining evaluation dimensions, constructing an attribute knowledge base, identifying indexes and metrics, assigning weights via an improved Analytic Hierarchy Process (IAHP), and computing comprehensive quality scores. Validation through case studies demonstrates the model's applicability across different city scales, system evolutions, and comparison with traditional methods, highlighting its ability to provide accurate, interpretable, and practical assessment results for ITMS quality improvement and decision-making.