Sustainable Mobility in B5G/6G: V2X Technology Trends and Use Cases

The 21st century is a time of rapid development, marked by technological advances, globalization, and international cooperation. It is also a period that has witnessed numerous global crises. In light of recent events, such as the migration crisis, the COVID-19 pandemic, and the escalation of the conflict between Ukraine and Russia, it is crucial to consider how to ensure economic stability and enhance the security of the transportation sector in the face of emerging threats. The goal of this publication is to identify the latest solutions in sustainable transportation development and to highlight their relevance in the context of potential global crises. To achieve this, a systematic review of the current research on transportation industry innovations was conducted using 4 different databases, yielding 492 results. From these, 223 publications were selected for analysis based on established criteria. The selected transport solutions were grouped into specific categories, and then their relevance in the context of global crises was discussed. The findings highlighted key solutions essential for economic stability and transport sector safety in potential crisis situations, while also pointing to further research directions. Additionally, they offer actionable concepts for transport organizers to promote a more resilient and sustainable flow of passengers and goods in anticipation of future crises.

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Exploring Trends, Perspectives, and Challenges of Artificial Intelligence in Sustainable Mobility

Elbroumi,

Idrissi,

Chaaouan

et al. 2024

Advances in Electronic Government, Digital Divide, and Regional Development

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This systematic review examines the expanding role of Artificial Intelligence (AI) in sustainable mobility, analyzing literature from Web of Science and Scopus databases published between 2019 and 2024. The review identifies key trends in integrating AI into transportation systems, focusing on sustainability, smart solutions, and the development of smart cities. Efforts to enhance eco-friendly and energy-efficient mobility solutions are highlighted, reflecting the critical role of AI in reducing environmental impacts while maintaining high levels of accessibility and convenience. Adopting smart solutions, including AI-driven traffic management and autonomous vehicles, demonstrates how cutting-edge technologies optimize urban mobility and improve safety. The concept of smart cities is further explored, showcasing how AI and data integration are transforming urban areas into hubs of technological innovation and sustainability. Additionally, the review underscores the importance of data-driven approaches, particularly in Mobility as a Service (MaaS) and multimodality, where AI enables seamless integration of various transportation modes. Despite the significant advancements, the review also addresses challenges such as data security, privacy, and ethical considerations, emphasizing the need for robust regulatory frameworks to ensure the safe and equitable deployment of AI in mobility. This study provides valuable insights into the potential of AI to revolutionize sustainable mobility and highlights areas for future research and development.

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Sustainable Mobility in B5G/6G: V2X Technology Trends and Use Cases

Cited by 3 publications

References 54 publications

Optimizing Millimeter Wave MIMO Channel Estimation Through GPU-Based Edge Artificial Intelligence

Optimizing Millimeter Wave MIMO Channel Estimation Through GPU-Based Edge Artificial Intelligence

Recent Advances for the Development of Sustainable Transport and Their Importance in Case of Global Crises: A Literature Review

Exploring Trends, Perspectives, and Challenges of Artificial Intelligence in Sustainable Mobility

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