Unveiling the Potential of Artificial Intelligence in Cooperative, Connected, and Automated Mobility (CCAM) Solutions: A Systematic Literature Review
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.
Authors
- Hendro Wicaksono (ORCID: https://orcid.org/0000-0001-5518-3375)
- Abebawu Eshetu
- Omid Fatahi Valilai (ORCID: https://orcid.org/0000-0001-7087-6946)
Institutions
- Constructor University (DE)
Publication Details
- Published
- 2024-12-15
- DOI
- https://doi.org/10.1109/ieem62345.2024.10857172
- Citations
- 2
- Primary Topic
- Transportation and Mobility Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.41