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Smart city article details
| Title | Connected And Automated Vehicles: Infrastructure, Applications, Security, Critical Challenges, And Future Aspects |
|---|---|
| ID_Doc | 15636 |
| Authors | Sadaf M.; Iqbal Z.; Javed A.R.; Saba I.; Krichen M.; Majeed S.; Raza A. |
| Year | 2023 |
| Published | Technologies, 11, 5 |
| DOI | http://dx.doi.org/10.3390/technologies11050117 |
| Abstract | Autonomous vehicles (AV) are game-changing innovations that promise a safer, more convenient, and environmentally friendly mode of transportation than traditional vehicles. Therefore, understanding AV technologies and their impact on society is critical as we continue this revolutionary journey. Generally, there needs to be a detailed study available to assist a researcher in understanding AV and its challenges. This research presents a comprehensive survey encompassing various aspects of AVs, such as public adoption, driverless city planning, traffic management, environmental impact, public health, social implications, international standards, safety, and security. Furthermore, it presents emerging technologies such as artificial intelligence (AI), integration of cloud computing, and solar power usage in automated vehicles. It also presents forensics approaches, tools used, standards involved, and challenges associated with conducting digital forensics in the context of autonomous vehicles. Moreover, this research provides an overview of cyber attacks affecting autonomous vehicles, attack management, traditional security devices, threat modeling, authentication schemes, over-the-air updates, zero-trust architectures, data privacy, and the corresponding defensive strategies to mitigate such risks. It also presents international standards, guidelines, and best practices for AVs. Finally, it outlines the future directions of AVs and the challenges that must be addressed to achieve widespread adoption. © 2023 by the authors. |
| Author Keywords | artificial intelligence; automotive industry; autonomous vehicles; challenges; cloud computing; communication networks; cyber security risks; deep learning; federated learning; in-vehicle systems; machine learning; protocols; security; sensors; smart cities; survey; vehicular technology |
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