Blockchain Methods and Data-Driven Decision Making With Autonomous Transportation
Kawsalya Maharajan, A. V. Senthil Kumar, Ibrahiem M. M. El Emary, Priyanka Sharma, Rohaya Latip, Namita Mishra, Amit Dutta, Lila Rao, Meenakshi Sharma
Abstract
Blockchain encourages artificial intelligence towards intelligence while also increasing its autonomy and credibility. In this chapter, the authors examine the relationship between blockchain technology and artificial intelligence from a more thorough and three-dimensional standpoint. One of the greatest problems with blockchain implementations in IoV is that they cannot meet the computational and energy needs of conventional blockchain systems since IoV nodes are limited in their ability to use resources. A marketplace that enables stakeholders (CSPs, asset suppliers, service providers, regulators, etc.) to interact and exchange value with confidence based on smart provenance and governance may be developed using blockchain and distributed ledger technologies (DLT). These innovations offer a decentralised audit architecture that is safe. Such transactions (who uses what) can be kept on a distributed ledger marketplace in an immutable setting. A decentralised consensus process that does not need mining or incentivization in a permissionless architecture ensures data integrity.