Smart Road Traffic Monitoring: Unveiling the Synergy of IoT and AI for Enhanced Urban Mobility
Karmveer Saini, Sandeep Sharma
Abstract
Emerging technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) have transformed intelligent transportation systems, providing novel solutions to the increasing complexity of managing traffic on roads as cities grow and traffic density rises, particularly in developing countries. Smart road traffic management systems seek to alleviate traffic-related issues, benefiting citizens and society. This study reports on a Preferred Reporting Item for Systematic Reviews and Meta-Analyses-based systematic literature review (SLR) of 75 papers published between 2014 and 2023. Like prior reviews, this SLR focuses on recent advances in the oT and AI for traffic management, covering crucial practical issues such as scalability, data privacy, and resource constraints in growing regions. The study covers significant topics thoroughly, including AI approaches such as machine learning and deep learning, the incorporation of the IoT, and AI in traffic management, including the evaluation methods utilized in the examined studies. By synthesizing insights from various studies, recognizing research gaps, and proposing recommendations for future research, this work provides a comprehensive understanding of how recent advances in smart road traffic monitoring will lead to more effective models that improve urban mobility and benefit the community.