The “CCAM Warning Signs” project aims to develop an innovative, lightweight communication system that connects CCAM (Connected, Cooperative, and Automated Mobility) vehicles with roadside infrastructure, wearables and digital displays. This so-called C-ITS Light System is intended to increase road safety by automatically and effectively warning vehicle occupants and other road users in dangerous situations.
Objective of the exploratory study: Analyzing potential and feasibility
The project work focuses on investigating the potential, technical feasibility and possible use cases of such a cooperative warning system. The system combines digital road infrastructure, automated vehicles, displays and wearables to enable efficient and safe communication between all road users.
The comprehensive analysis comprises several key points:
- Creation of a requirements matrix: Definition of technical and functional needs.
- Definition of use cases: Identification of relevant use cases.
- Specification of a modular system concept: development of a flexible and scalable architecture.
- Roadmap for implementation: Development of a strategy for implementation.
- Evaluation of resources and chances of success: Examination of economic and technological feasibility.
Safety as the basis for automated transport
Automated shuttles can form the basis for environmentally friendly and efficient urban mobility. However, for them to be used successfully in everyday life, they must be perceived as safe and predictable on the one hand and be economically viable to operate on the other.
One crucial factor that is currently missing is a digitally optimized communication system that intelligently connects vehicles, infrastructure and people. CCAM Warning Signs addresses precisely this gap by analyzing the feasibility of a flexible and effective C-ITS Light system and presenting its potential in an implementation concept.
Michael Aleksa, project manager at the AIT Austrian Institute of Technology, emphasizes: “With CCAM Warning Signs, we are creating the basis for a new type of warning system that optimally brings together technology and people to increase road safety in an increasingly automated mobility world.”
Project partners
Onsite Data Intelligence GmbH (Coordinator)
Funding frame
FFG, Call: Mobilität 2023: urbane Mobilität und Fahrzeugtechnologien