Abstract
Nowadays, the stratification of transportation has led to an enhancement of efficiency and a reduction in traffic and transportation issues. Intelligent transportation requires smart systems and equipment. This study presents a novel method for evaluating intelligent transportation systems (ITS) in urban regions. It emphasizes the necessity of assessing ITS quality and quantity in cities to determine the effectiveness in different urban regions. The research adopts a mixed-method approach to devise an evaluation model, focusing on five urban regions of Tehran (regions 3, 4, 12, 10, and 22). Thirteen indicators were selected to assess ITS development through multi-criteria decision-making methods, combining Shannon Entropy and best-worst methods to measure criteria effectively. Data were gathered via a questionnaire targeted at urban planning and transportation experts, producing 70 valid responses from an online survey. The evaluation employed the CODAS method, recognized for its robust control features. Results identified "The number of intelligent central control systems for traffic lights at intersections" as the pivotal indicator, with region 4 of Tehran scoring the highest. These findings provide crucial insights for scholars and policymakers, enhancing understanding of ITS evaluation and supporting budget allocations for such systems. The research's innovation lies in its unique approach to ITS assessment, integrating both quantitative data and expert opinions, which establishes a comprehensive framework for future evaluations in urban transportation planning. This contributes significantly to the academic and practical realms of transportation engineering, offering a strategic perspective on the deployment and enhancement of intelligent transportation frameworks in urban regions.