CASI4CCAM aims to revolutionize the CCAM (Connected Cooperative Automated Mobility) landscape by integrating advanced technologies & innovative strategies to address key challenges/gaps in CCAM research. The project focuses on creating a comprehensive autonomous traffic management system (ATMS) that enhances road safety, traffic management, and sustainability through collective artificial superintelligence (CASI) powered by blockchain.
AThe CASI4CCAM framework enables decentralized data processing and real-time analytics, allowing autonomous vehicles (AVs) and infrastructure to share information seamlessly enhancing situational awareness and decision-making. It implements Absolute Zero Trust (AZT) protocols for quantum-safe cybersecurity to safeguard the ecosystem against emerging cyber threats, ensuring data integrity and privacy.
The ATMS optimizes traffic flow reduces congestion/accidents in confined environments like airports/malls and is scalable to urban areas. This system integrates a Digital License Plate (DLP) that operates as a V2X (Vehicle-to-Everything) gateway also serving the circular economy as an auctionable NFT (Non-Fungible Token) to build a sustainable self-funding business model. Moreover, CASI4CCAM emphasizes ethical AI governance by establishing DAO (Decentralized Autonomous Organization) to oversee AI systems with transparency & accountability,. The project aims to enhance user acceptance through human-centric design, creating intuitive interfaces that improve user experience and societal benefits.
Overall, CASI4CCAM sets a new standard for CCAM by leveraging advanced technologies, robust security frameworks, and sustainable business models to address current gaps and anticipate future developments. 18 partners develop, test & validate 4 use cases to position the project at the forefront of future mobility solutions for a safer, efficient, and environmentally sustainable transportation ecosystem that aligns with the EU's Vision 2050 goals.
