Meta-analysis shows reductions in congestion and improved urban mobility with AI-driven adaptive systems, indicating their significance in transportation planning.
Key Points
AI-driven systems reduced average vehicle delay by 24% to 36%, improving congestion outcomes.
Implementation of adaptive traffic control systems showed enhanced performance during dynamic flow conditions.
This meta-analysis synthesized findings from 68 studies across 2010–2024, focusing on urban congestion trends.
Integration of AI technologies in traffic management supports sustainable urban mobility and infrastructure readiness.
Cite This Study
Mohammad Sadequl Islam (2025) studied this question.