TITLE:
Reviewing the SAE Levels of Driving Automation and Research Gaps to Accelerate the Development of a Quantum-Safe CCAM Infrastructure
AUTHORS:
Fazal Raheman, Tejas Bhagat, Angel Batalla
KEYWORDS:
CCAM, Horizon Europe, SAE J3016 taxonomy, Vision 2050, AI, Quantum Computers
JOURNAL NAME:
Journal of Transportation Technologies,
Vol.14 No.4,
August
29,
2024
ABSTRACT: Based on a review of 28 Horizon Europe-funded CCAM projects, this paper studies the current state of Connected, Cooperative, and Automated Mobility (CCAM) and identifies significant research gaps in taxonomy, cybersecurity, Artificial Intelligence (AI) and 6G research, that hinder the advancement of a future-ready CCAM infrastructure. The research emphasizes the crucial role of infrastructure in achieving autonomous mobility, shifting focus from the current vehicle-centric approach. It critiques the SAE J3016 taxonomy for its lack of emphasis on infrastructure and proposes an updated framework with an automation level dedicated to infrastructure automation. The paper highlights the existential threats posed by Quantum Computers (QC) and AI, stressing the need for quantum-safe cybersecurity measures and an ethical, controllable AI framework proposing a decentralized Collective Artificial Super Intelligence (CASI) framework. Identifying the critical need for a cooperative approach involving Road and Transport Authorities (RTAs) to achieve 100% vehicle connectivity and robust digital infrastructure, the study outlines the European Commission’s Vision 2050 goals, aiming for zero fatalities, zero emissions, and sustainable mobility. The paper concludes by providing recommendations for future research directions to accelerate the development of a comprehensive, secure, and efficient CCAM ecosystem.