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

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 connecti...

Full description

Bibliographic Details
Main Authors: Jain Rituraj, Chakravarthi M. Kalyan, Kumar P. K., Hemakesavulu O., Ramirez-Asis Edwin, Pelaez-Diaz Guillermo, Mahaveerakannan R.
Format: Article
Language:English
Published: De Gruyter 2022-10-01
Series:Nonlinear Engineering
Subjects:
Online Access:https://doi.org/10.1515/nleng-2022-0242
_version_ 1811324195089416192
author Jain Rituraj
Chakravarthi M. Kalyan
Kumar P. K.
Hemakesavulu O.
Ramirez-Asis Edwin
Pelaez-Diaz Guillermo
Mahaveerakannan R.
author_facet Jain Rituraj
Chakravarthi M. Kalyan
Kumar P. K.
Hemakesavulu O.
Ramirez-Asis Edwin
Pelaez-Diaz Guillermo
Mahaveerakannan R.
author_sort Jain Rituraj
collection DOAJ
description 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.
first_indexed 2024-04-13T14:09:56Z
format Article
id doaj.art-975997d595cd4959ab41028b41dd377c
institution Directory Open Access Journal
issn 2192-8029
language English
last_indexed 2024-04-13T14:09:56Z
publishDate 2022-10-01
publisher De Gruyter
record_format Article
series Nonlinear Engineering
spelling doaj.art-975997d595cd4959ab41028b41dd377c2022-12-22T02:43:49ZengDe GruyterNonlinear Engineering2192-80292022-10-0111158258910.1515/nleng-2022-0242Internet of Things-based smart vehicles design of bio-inspired algorithms using artificial intelligence charging systemJain Rituraj0Chakravarthi M. Kalyan1Kumar P. K.2Hemakesavulu O.3Ramirez-Asis Edwin4Pelaez-Diaz Guillermo5Mahaveerakannan R.6Department of Electrical and Computer Engineering, Wollega University, Nekemte, EthiopiaSchool of Electronics Engineering, VIT-AP University, Amaravathi, Andhra Pradesh, IndiaSri Sairam Engineering College, Chennai, IndiaDepartment of Electrical and Electronics Engineering, Annamacharya Institute of Technology & Sciences, Rajampet, Andhra Pradesh, IndiaUniversidad Señor de Sipán, Chiclayo, PeruUniversidad Nacional Santiago Antúnez de Mayolo, Huaraz, PerúDepartment of Computer Science and Engineering, Saveetha School of Engineering, Chennai, Tamil Nadu, IndiaArtificial 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.https://doi.org/10.1515/nleng-2022-0242electric motorcycleartificial intelligencebio-inspiredinternet of thingsevolutionary-based algorithmsswarm intelligence-based algorithmsmart charging
spellingShingle Jain Rituraj
Chakravarthi M. Kalyan
Kumar P. K.
Hemakesavulu O.
Ramirez-Asis Edwin
Pelaez-Diaz Guillermo
Mahaveerakannan R.
Internet of Things-based smart vehicles design of bio-inspired algorithms using artificial intelligence charging system
Nonlinear Engineering
electric motorcycle
artificial intelligence
bio-inspired
internet of things
evolutionary-based algorithms
swarm intelligence-based algorithm
smart charging
title Internet of Things-based smart vehicles design of bio-inspired algorithms using artificial intelligence charging system
title_full Internet of Things-based smart vehicles design of bio-inspired algorithms using artificial intelligence charging system
title_fullStr Internet of Things-based smart vehicles design of bio-inspired algorithms using artificial intelligence charging system
title_full_unstemmed Internet of Things-based smart vehicles design of bio-inspired algorithms using artificial intelligence charging system
title_short Internet of Things-based smart vehicles design of bio-inspired algorithms using artificial intelligence charging system
title_sort internet of things based smart vehicles design of bio inspired algorithms using artificial intelligence charging system
topic electric motorcycle
artificial intelligence
bio-inspired
internet of things
evolutionary-based algorithms
swarm intelligence-based algorithm
smart charging
url https://doi.org/10.1515/nleng-2022-0242
work_keys_str_mv AT jainrituraj internetofthingsbasedsmartvehiclesdesignofbioinspiredalgorithmsusingartificialintelligencechargingsystem
AT chakravarthimkalyan internetofthingsbasedsmartvehiclesdesignofbioinspiredalgorithmsusingartificialintelligencechargingsystem
AT kumarpk internetofthingsbasedsmartvehiclesdesignofbioinspiredalgorithmsusingartificialintelligencechargingsystem
AT hemakesavuluo internetofthingsbasedsmartvehiclesdesignofbioinspiredalgorithmsusingartificialintelligencechargingsystem
AT ramirezasisedwin internetofthingsbasedsmartvehiclesdesignofbioinspiredalgorithmsusingartificialintelligencechargingsystem
AT pelaezdiazguillermo internetofthingsbasedsmartvehiclesdesignofbioinspiredalgorithmsusingartificialintelligencechargingsystem
AT mahaveerakannanr internetofthingsbasedsmartvehiclesdesignofbioinspiredalgorithmsusingartificialintelligencechargingsystem