On the Road to AIoT: A Framework for Vehicle Road Cooperation

The paradigm of Augmented Intelligence of Things (AIoT) aims to empower Internet of Things (IoT) devices with intelligent capabilities to analyze data, make informed decisions, and execute actions autonomously. This study focuses on enhancing collaboration between vehicles and road infrastructure within the AIoT framework, particularly in the context of self-driving cars and smart city environments. A Proof of Concept (PoC) is presented, introducing a vehicle road cooperation framework tailored for online-vehicle-infrastructure cooperation (VIC) forecasting tasks. This framework enables real-time information exchange and trajectory prediction of target agents by leveraging IoT sensor technologies and incorporating two layers of cooperation: 1) ego-vehicles and 2) infrastructures. Experimental results demonstrate that the integration of information from both layers enhances prediction metrics compared to approaches focusing on individual layers. Comparative analysis with existing method, PP-VIC, underscores the superiority of the proposed framework in trajectory prediction. This research offers a promising avenue for enhancing communication and collaboration between infrastructure and autonomous vehicles, thereby contributing to the development of more efficient and safer transportation systems in smart cities.