AIoT Integration in Autonomous Vehicles: Enhancing Road Cooperation and Traffic Management

This article explores the transformative potential of integrating Augmented Intelligence with Internet of Things (IoT) in autonomous vehicles, a concept we term AIoT. We begin by examining the critical roles of IoT and augmented intelligence in automotive technology, delineating their evolution and synergistic benefits when unified. The crux of our investigation lies in the intricate fusion of these technologies, addressing key elements, such as data acquisition, processing, and real-time decision-making, particularly in enhancing traffic coordination, vehicle safety, and energy efficiency. We place a strong emphasis on the practical applications of AIoT in autonomous vehicles, underscoring advancements in sensor data integration and vehicle-to-environment communication. Our discussion also navigates through the challenges and limitations currently faced, including data privacy, real-time data processing demands, and technological constraints. A case study is presented, offering a quantitative and algorithmic perspective on AIoT implementation in modern autonomous vehicles. Concluding, this article casts a vision for the future of AIoT in the automotive sector, pinpointing areas for potential breakthroughs and further research. This study asserts the indispensable role of AIoT in revolutionizing autonomous vehicle technology, setting a new benchmark in automotive innovation.