Cooperative, Connected and Automated Mobility (CCAM) has great potential to improve traffic efficiency and road safety and is expected to play an essential role in realizing Vision Zero and meeting global climate goals for the mobility sector, despite the continuously increasing traffic. The successful realization of the CCAM vision relies heavily on the advancement of both the physical and the digital infrastructure (PDI).
In the physical realm, roadways and vehicles are evolving to become smart entities, fully equipped with sensors, cameras, and advanced computing capabilities. Simultaneously, in the digital infrastructure realm, vehicle-to-everything (V2X) real-time communication and edge computing enable novel CCAM services based on data fusion. In the near future, vehicles are expected to interact with all the elements of the urban environment and with intelligent traffic management systems.
The envisioned role of PDI includes i) precise environment modelling based on a multitude of different data sources for enhanced resilience and ii) real-time traffic planning in challenging environments such as urban intersections. From monolithic vehicle-centric Advanced Driver-Assistance Systems (ADAS), we are moving to more distributed architectures with only parts of the information processing and storage being executed locally on the vehicle while data fusion is taking place on the edge, with ultra-reliable and low-latency connectivity being a key enabler.
In this paper we provide an overview of the latest PDI enhancements implemented by the PoDIUM project and we analyze the resulting ecosystem, namely we identify all the involved actors and roles, their relationships and revenue streams.
PDI Developments and CCAM Ecosystem Analysis as Per the PoDIUM Project
Lecture Notes in Intelligent Transportation and Infrastructure
Conference on Sustainable Urban Mobility ; 2024 ; Kalivia Filaktis, Greece September 04, 2024 - September 06, 2024
10.03.2025
11 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch