Smart City Gnosys

Smart city article details

Title On The Road To Aiot: A Framework For Vehicle Road Cooperation
ID_Doc 39913
Authors Annunziata D.; Chiaro D.; Qi P.; Piccialli F.
Year 2025
Published IEEE Internet of Things Journal, 12, 5
DOI http://dx.doi.org/10.1109/JIOT.2024.3488855
Abstract 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. © 2014 IEEE.
Author Keywords Augmented Intelligence of Things (AIoT); ego-vehicles; online-vehicle-infrastructure cooperation (VIC) forecasting; trajectory prediction; vehicle road cooperation; vehicle-to-everything (V2X)


Similar Articles


Id Similarity Authors Title Published
21830 View0.886Zhang L.; Zhou Z.; Yi B.; Wang J.; Chen C.-M.; Shi C.Edge-Cloud Framework For Vehicle-Road Cooperative Traffic Signal Control In Augmented Internet Of ThingsIEEE Internet of Things Journal, 12, 5 (2025)
14845 View0.879Luzolo P.H.; Elrawashdeh Z.; Tchappi I.; Galland S.; Outay F.Combining Multi-Agent Systems And Artificial Intelligence Of Things: Technical Challenges And GainsInternet of Things (Netherlands), 28 (2024)
46979 View0.873Tyagi A.K.; Mishra A.K.; Kukreja S.Role Of Artificial Intelligence Enabled Internet Of Things (Iot) In The Automobile Industry: Opportunities And Challenges For SocietyLecture Notes in Networks and Systems, 991 LNNS (2024)
7053 View0.869Singh R.; Kumar R.; Singh A.; Vijay R.; Khan R.L.; Ather D.Ai-Driven Vanets For Iot-Enabled Transportation SystemsCommunications in Computer and Information Science, 2308 CCIS (2025)
24065 View0.867Moumen I.; Abouchabaka J.; Rafalia N.Enhancing Urban Mobility: Integration Of Iot Road Traffic Data And Artificial Intelligence In Smart City EnvironmentIndonesian Journal of Electrical Engineering and Computer Science, 32, 2 (2023)
22953 View0.866Zhang J.; Tao D.Empowering Things With Intelligence: A Survey Of The Progress, Challenges, And Opportunities In Artificial Intelligence Of ThingsIEEE Internet of Things Journal, 8, 10 (2021)
4830 View0.865Anedda M.; Fadda M.; Girau R.; Pau G.; Giusto D.A Social Smart City For Public And Private Mobility: A Real Case StudyComputer Networks, 220 (2023)
7021 View0.861Qaffas A.A.Ai-Driven Distributed Iot Communication Architecture For Smart City Traffic OptimizationJournal of Supercomputing, 81, 8 (2025)
7121 View0.861Forkan A.R.M.; Kang Y.-B.; Marti F.; Banerjee A.; McCarthy C.; Ghaderi H.; Costa B.; Dawod A.; Georgakopolous D.; Jayaraman P.P.Aiot-Citysense: Ai And Iot-Driven City-Scale Sensing For Roadside Infrastructure MaintenanceData Science and Engineering, 9, 1 (2024)
13462 View0.861Dwivedi B.; Behl R.Case Study Successful Artificial Intelligence (Ai) And The Internet Of Things (Iot) (Aiot) Implementation In Smart CitiesMerging Artificial Intelligence With the Internet of Things (2025)