Cooperative and connected mobility services in the cloud-edge continuum with function as a service technology and AI-enabled orchestration
2024 (English)In: Proceedings of 2024 1st Edition of the Mediterranean Smart Cities Conference, MSCC 2024 / [ed] Ahmed Bendahmane;Abdelaaziz El Hibaoui; Mohamed Essaaidi, IEEE, 2024, p. 1-6Conference paper, Published paper (Refereed)
Abstract [en]
We propose a novelty system to manage Traffic Priority at city intersections by means of our Mobility-Hub (M-Hub), a next-generation Traffic Light Controller that leverages the power of cloud-edge continuum computing, Digital Twin, and Cellular Vehicle-to-Everything (C-V2X) technologies to transform traffic management into a dynamic and intelligent system. M-Hub acts as an open-edge computing platform, enabling real-time data processing, 3rd parties containerized applications and decision-making at the network edge. COGNIT is an open-source cloud-edge continuum framework, that offers many improvements for next-generation Intelligent Transportation Systems (ITS). The continuum allows for the integration of diverse data sources, including vehicular data from C-V2X communication, real-time traffic information from detectors or cameras, and other environmental data, to seamlessly generate Digital Twins in the ACISA smart mobility platform, SATURNO. By combining this data with advanced traffic optimization algorithms implemented in the COGNIT infrastructure, M-Hub can dynamically adjust traffic signal timings, optimize traffic flow, and reduce congestion with optimal use of computational resources. M-Hub has the potential to revolutionize urban mobility, enhancing safety, improving efficiency, and reducing environmental impact.
Place, publisher, year, edition, pages
IEEE, 2024. p. 1-6
Series
IEEE InternationalConference on System of Systems Engineering, E-ISSN 2835-3161
Keywords [en]
5G, AI, Automated Mobility services, C-V2X, Cloud-Edge Continuum, Connected, Cooperative, Digital Twin, Intelligent Transport Systems, Urban Mobility
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:umu:diva-231293DOI: 10.1109/MSCC62288.2024.10697004Scopus ID: 2-s2.0-85207056263ISBN: 9798350374001 (electronic)OAI: oai:DiVA.org:umu-231293DiVA, id: diva2:1912548
Conference
Mediterranean Smart Cities Conference (MSCC 2024), 2-4 May, 2024, Martil, Morocco
2024-11-122024-11-122024-11-12Bibliographically approved