Unveiling the Potential of Artificial Intelligence in Cooperative, Connected, and Automated Mobility (CCAM) Solutions: A Systematic Literature Review | IEEE Conference Publication | IEEE Xplore

Unveiling the Potential of Artificial Intelligence in Cooperative, Connected, and Automated Mobility (CCAM) Solutions: A Systematic Literature Review


Abstract:

The mobility industry can transform significantly if Artificial Intelligence (AI) is included in Cooperative, Connected, and Automated Mobility (CCAM) systems. The key co...Show More

Abstract:

The mobility industry can transform significantly if Artificial Intelligence (AI) is included in Cooperative, Connected, and Automated Mobility (CCAM) systems. The key components and requirements for adopting AI in CCAM systems must be identified to get the maximum benefits. This research develops a conceptual model with a technical architecture containing essential technological components and a technology adoption framework comprising policy and business-related measures. The conceptual model is designed based on the key findings of a Systematic Literature Review (SLR) conducted in this research. After multiple screenings, 23 papers are analyzed based on the formulated research questions. This research gives researchers and practitioners a comprehensive overview of the critical technologies, their requirements, and the socioeconomic framework to adopt AI technologies in CCAM.
Date of Conference: 15-18 December 2024
Date Added to IEEE Xplore: 04 February 2025
ISBN Information:
Conference Location: Bangkok, Thailand

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