Research on autonomous driving optimization of Intelligent Transportation System (ITS) using Cognitive Internet of Things (CIoT): Survey
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초록
This study aims to enhance the efficiency and safety of transportation by developing an intelligent transportation system (ITS) using the Internet of Things (IoT) and artificial intelligence (AI) technologies. The proposed system will enable self-driving and connected vehicles to autonomously collect and analyze information, make decisions, and optimize traffic flow. This will lead to reduced traffic congestion, improved traffic safety, and enhanced user convenience. Additionally, the system will contribute to achieving carbon neutrality and energy efficiency by reducing fuel consumption and emissions. Key contributions of this research include: Development of an optimized cognitive IoT for ITS to enhance road safety and efficiency. Improvement of traffic complexity, resource conservation, and environmental pollution reduction through sustainable urban mobility support. Development of a customized transportation system for self-driving and connected vehicles optimized for ITS-based traffic infrastructure. The proposed research has the potential to revolutionize transportation by making it safer, more efficient, and more sustainable.
Abstract
This study aims to enhance the efficiency and safety of transportation by developing an intelligent transportation system (ITS) using the Internet of Things (IoT) and artificial intelligence (AI) technologies. The proposed system will enable self-driving and connected vehicles to autonomously collect and analyze information, make decisions, and optimize traffic flow. This will lead to reduced traffic congestion, improved traffic safety, and enhanced user convenience. Additionally, the system will contribute to achieving carbon neutrality and energy efficiency by reducing fuel consumption and emissions. Key contributions of this research include: Development of an optimized cognitive IoT for ITS to enhance road safety and efficiency. Improvement of traffic complexity, resource conservation, and environmental pollution reduction through sustainable urban mobility support. Development of a customized transportation system for self-driving and connected vehicles optimized for ITS-based traffic infrastructure. The proposed research has the potential to revolutionize transportation by making it safer, more efficient, and more sustainable.
참고문헌 (12)
- Sun, F., "Cognitive Internet of Things for Intelligent Transportation Systems : A Survey of Enabling Technologies and Applications", IEEE Transactions on Intelligent Vehicles and Systems, 24(1), pp.1~21 (2023)[DOI]
- Chen, M., "Cognitive Internet of Things for Smart Cities : A Survey", IEEE Access, 11, pp.12462~12486 (2023)[DOI]
- Wei, T., "Machine Learning for Traffic Signal Control : A Review and Prospects", IEEE Transactions on Intelligent Transportation Systems, 23(6), pp.3388~3413 (2022)[DOI]
- Lv, Y., "Machine Learning for Intelligent Traffic Management : A Survey", IEEE Transactions on Intelligent Vehicles and Systems, 23(1), pp.748~768 (2022)[DOI]
- Al-Turki, Y., "The Role of Cognitive Internet of Things in Achieving Sustainable Development Goals : A Survey", IEEE Access, 9, pp.147672~147693 (2021)[DOI]
- Zanella, A., "Internet of Things : Enabling a Sustainable Future", IEEE Internet of Things Journal, 1(1), pp.22~32 (2014)[DOI]
- Sun, F., "Cognitive Internet of Things for Intelligent Transportation Systems : A Survey of Enabling Technologies and Applications", IEEE Transactions on Intelligent Vehicles and Systems, 24(1), pp.1~21 (2023)[DOI]
- Yao, D., "Cognitive Internet of Things for Smart Transportation : A Survey", IEEE Transactions on Intelligent Vehicles and Systems, 21(1), pp.386~406 (2020)[DOI]
- Montgomery, P. L., "A fast scheme for signing and verifying digital signatures", Advances in cryptology?EUROCRYPT'96, pp.46~60 (1997), Springer
- Shin, P. S., "Hacking and Security of Small and Medium-Sized Wireless Networks", Journal of Convergence Information (formerly Journal of the Small and Medium Business Convergence Society), 4(3), pp.15~20 (2014)
- Jeong, Y. S., "An Efficient Small Business Processing Model Using Big Data", Journal of Convergence Information(formerly Journal of the Small and Medium Business Convergence Society), 5(4), pp.11~16 (2015)
- Cho, Y. B., "Government 3. 0-Based Big Data Utilization Policy in Small and Medium-Sized Businesses", Journal of Convergence Information(formerly Journal of the Small and Medium Business Convergence Society), 3(1), pp.15~22 (2013)