Kontos Christos, Panagiotakopoulos Theodor, Kameas Achilles
School of Science and Technology, Hellenic Open University, 18 Parodos Aristotelous Street, 26335 Patras, Greece.
Business School, University of Nicosia, 46 Makedonitissis Street, 2417 Nicosia, Cyprus.
Sensors (Basel). 2024 Sep 27;24(19):6273. doi: 10.3390/s24196273.
Population growth and environmental burden have turned the efforts of cities globally toward smarter and greener mobility. Cooperative and Connected Automated Mobility (CCAM) serves as a concept with the power and potential to help achieve these goals building on technological fields like Internet of Things, computer vision, and distributed computing. However, its implementation is hindered by various challenges covering technical parameters such as performance and reliability in tandem with other issues, such as safety, accountability, and trust. To overcome these issues, new distributed and decentralized approaches like blockchain and smart contracts are needed. This paper identifies a comprehensive inventory of CCAM challenges including technical, social, and ethical challenges. It then describes the most prominent methodologies using blockchain and smart contracts to address them. A comparative analysis of the findings follows, to draw useful conclusions and discuss future directions in CCAM and relevant blockchain applications. The paper contributes to intelligent transportation systems' research by offering an integrated view of the difficulties in substantiating CCAM and providing insights on the most popular blockchain and smart contract technologies that tackle them.
人口增长和环境负担促使全球各城市致力于实现更智能、更环保的出行方式。协同互联自动驾驶移动性(CCAM)作为一个概念,借助物联网、计算机视觉和分布式计算等技术领域的力量和潜力,有助于实现这些目标。然而,其实施受到各种挑战的阻碍,这些挑战涵盖了诸如性能和可靠性等技术参数,同时还涉及其他问题,如安全、问责和信任。为克服这些问题,需要采用区块链和智能合约等新的分布式和去中心化方法。本文确定了CCAM面临的一系列全面挑战,包括技术、社会和伦理挑战。然后描述了使用区块链和智能合约来应对这些挑战的最突出方法。随后对研究结果进行了比较分析,以得出有用的结论,并讨论CCAM及相关区块链应用的未来发展方向。本文通过提供对证实CCAM存在的困难的综合观点,并对解决这些困难的最流行的区块链和智能合约技术提供见解,为智能交通系统的研究做出了贡献。