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Blockchain Enabled Machine Learning Approach to Enhance Intelligent Transportation System

EasyChair Preprint no. 6446

26 pagesDate: August 28, 2021


Traffic management is still a congestion issues globally. Driving violation is increasing day by day in the developing countries. It lead traffic congestion and road accidents. We could observe from starting that to manage the traffic by a central managing authority was always a problem, to improve the society traffic-signal system was introduced. These days we have required a high-class transportation system to get better society. New technology can help to achieve the desired objective. So let’s formulate the problem definition first then we will discuss the solution which will be given by the purposed model. So the problem is to deploy the public confidential & personal data in ML system model to achieve the objective which is the advantages of intelligent transportation systems and also to ensure the privacy concern issue avoidance. This research-work is focusing on the approach of traffic administration & management with the help of machine learning and blockchain. There is even some deep learning, federated learning, neural network concept and artificial intelligence emerge technologies is adopted to overcome the concern traffic issues on humanity and societies.

Keyphrases: Blockchain, Deep Neural Network, Intelligent Transportation System, Reinforcement Learning

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Ratneshwar Kumar Singh},
  title = {Blockchain Enabled Machine Learning Approach to Enhance Intelligent Transportation System},
  howpublished = {EasyChair Preprint no. 6446},

  year = {EasyChair, 2021}}
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