TY - JOUR
T1 - Internet of Things-based smart vehicles design of bio-inspired algorithms using artificial intelligence charging system
AU - Jain, Rituraj
AU - Chakravarthi, M. Kalyan
AU - Kumar, P. K.
AU - Hemakesavulu, O.
AU - Ramirez-Asis, Edwin
AU - Pelaez-Diaz, Guillermo
AU - Mahaveerakannan, R.
N1 - Publisher Copyright:
© 2022 Rituraj Jain et al., published by De Gruyter.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - 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.
AB - 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.
KW - Internet of Things
KW - artificial intelligence
KW - bio-inspired
KW - electric motorcycle
KW - evolutionary-based algorithms
KW - smart charging
KW - swarm intelligence-based algorithm
UR - http://www.scopus.com/inward/record.url?scp=85141702242&partnerID=8YFLogxK
U2 - 10.1515/nleng-2022-0242
DO - 10.1515/nleng-2022-0242
M3 - Article
AN - SCOPUS:85141702242
SN - 2192-8010
VL - 11
SP - 582
EP - 589
JO - Nonlinear Engineering
JF - Nonlinear Engineering
IS - 1
ER -