State-of-the-art review of unmanned aerial vehicles (UAVs) and artificial intelligence (AI) for traffic and safety analyses: Recent progress, applications, challenges, and opportunities

Abstract

This review comprehensively examines the intersection of Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence (AI) in traffic and safety analyses, addressing their transformative impact on traffic monitoring, safety assessment, and environmental studies. By systematically analyzing over 315 scholarly works from 2009 to 2024, this review highlights the evolution from traditional data collection methods to UAV-enabled systems enhanced by advanced AI algorithms. The findings reveal UAVs’ significant contributions to traffic operations monitoring, safety evaluations, and special environmental applications, demonstrating enhanced efficiency in collecting, analyzing, and interpreting high-resolution traffic data. For instance, UAVs have improved traffic flow estimation accuracy by over 20%, enabled detailed safety conflict analysis through surrogate safety measures like Time-to-Collision (TTC), and facilitated data collection protocols optimized for diverse facility types, including intersections and roundabouts. Key challenges, such as data privacy, integration with existing systems, and weather-related limitations, are critically discussed. The review identifies future research directions, emphasizing the potential for autonomous UAV operations, ethical frameworks, and cost-effective scaling. Ultimately, this review underscores UAVs and AI as pivotal technologies reshaping traffic analysis, enabling smarter, safer, and more sustainable transportation systems.