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.

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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
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article

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

Hendro Wicaksono, Abebawu Eshetu, Omid Fatahi Valilai
2 citations
Transportation and Mobility Innovations
0.41
article

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

Hendro Wicaksono, Abebawu Eshetu, Omid Fatahi Valilai
article en
2 citations

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.

Constructor University (DE)
Openalex Percentile: Top 37%
Transportation and Mobility Innovations
0.41
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