Evaluating Traffic Control Parameters: From Efficiency to Sustainable Development

Abstract

Highlights: What are the main findings? A comprehensive framework identifies and evaluates 19 key traffic control parameters, aligned with Sustainable Development Goals (SDGs). A three-phase methodology: Expert discussions, Systematic review, and Multidimensional Analysis that was used to validate traffic optimization strategies. What is the implication of the main finding? Traffic parameters can be optimized not only for efficiency but also to promote sustainable urban development and reduce environmental impact The study supports the integration of real-time sensor data with adaptive control strategies to improve urban mobility while addressing SDGs. Understanding the interplay between traffic optimization parameters and their alignment with sensors, control algorithms, and Sustainable Development Goals (SDGs) is essential for improving urban traffic management. The appropriate selection of parameters in urban traffic management is crucial to optimize vehicular flow and meet the Sustainable Development Goals (SDGs). To find out which parameters are most commonly used and appropriate, a comprehensive study was conducted, the results of which are presented in this article. This study uses a three-phase approach: qualitative exploration, systematic literature review, and multiple-dimensional analysis. This study’s contributions include a practical five-level framework for traffic optimization addressing congestion problems, the identification of 19 commonly used traffic control parameters, the analysis of their implementations in recent intelligent traffic control systems, and a proposal of trends to orient these parameters towards efficiency and compliance with the SDGs. The results lay the groundwork for creating new parameters or modifying existing parameters so that the parameters are oriented not only towards efficiency in control algorithms or user experience but also towards meeting the SDGs.