Modeling Transport Pattern Using Artificial Intelligence

  • L. V. Arun ShlainEmail author
  • A. Gayathri
  • G. Aiswarya
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 38)


The rapid pace of advancements in Artificial Intelligence (AI) is delivering unprecedented opportunities to upgrade and enhance the performance of various technologies and organizations, mainly in the transport area. AI needs a good understanding of the information and connection among AI on one hand, and transportation system characteristics and factors, on the other hand, to use the AI successfully. In addition, it is promising for every transport specialists to determine which is the best approach or method to utilize these advances to predict a quick improvement in diminishing congestion in the transport system. And also for making travel time progressively solid which is very useful to their customers and improve their financial status and productivity of their fundamental resources. Artificial Intelligence systems which mainly involves addressing the transportation issues mostly in traffic the board, traffic safety, problems during travelling in public transportation, urban portability. It is too difficult to handle in the transportation system when the transport issues become a challenge to model and anticipate the transport patterns. In this paper, we have a perfect view of the Artificial intelligence that will help the future transport scenarios thereby making it easy for people to travel using smart cars. We have also discussed about the different ways by which a road, rail track, airway can be modernized using artificial intelligence and its impact on people’s life style.


Self-driving Drone air taxi Traffic pattern Automatic vehicle location (ALV) 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Bannari Amman Institute of TechnologySathyamangalamIndia

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