Internet of Things-based smart vehicles design of bio-inspired algorithms using artificial intelligence charging system

Rituraj Jain, M. Kalyan Chakravarthi, P. K. Kumar, O. Hemakesavulu, Edwin Ramirez-Asis, Guillermo Pelaez-Diaz, R. Mahaveerakannan

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Artificial intelligence (AI) is a machine intelligence technology with vast potential for a smart industrial revolution. This study aims to create new electric-powered transportation such as bicycles, motorbikes, and other vehicles. The combination of high-speed, resiliency, and low-latency connection, as well as AI and Internet of Things (IoT) technologies, will enable the transformation to fully autonomous vehicles. This electric motorcycle tracks its speed, location, and other data using IoT logic. A smart charging system has also been developed to keep them ready to use effectively. The proposed research also reduces the damage to the environment efficiently.

Original languageEnglish
Pages (from-to)582-589
Number of pages8
JournalNonlinear Engineering
Volume11
Issue number1
DOIs
StatePublished - Jan 1 2022
Externally publishedYes

Keywords

  • Internet of Things
  • artificial intelligence
  • bio-inspired
  • electric motorcycle
  • evolutionary-based algorithms
  • smart charging
  • swarm intelligence-based algorithm

Fingerprint

Dive into the research topics of 'Internet of Things-based smart vehicles design of bio-inspired algorithms using artificial intelligence charging system'. Together they form a unique fingerprint.

Cite this