A Review of Applications of Artificial Intelligence in Heavy Duty Trucks
Due to the increasing use of automobiles, the transportation industry is facing challenges of increased emissions, driver safety concerns, travel demand, etc. Hence, automotive industries are manufacturing vehicles that produce fewer emissions, are fuel-efficient, and provide safety for drivers. Art...
Main Authors: | Sasanka Katreddi, Sujan Kasani, Arvind Thiruvengadam |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-10-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/15/20/7457 |
Similar Items
-
Trip Based Modeling of Fuel Consumption in Modern Heavy-Duty Vehicles Using Artificial Intelligence
by: Sasanka Katreddi, et al.
Published: (2021-12-01) -
Spatio-Temporal Assessment of Heavy-Duty Truck Incident and Inspection Data
by: Amy Moore, et al.
Published: (2023-10-01) -
Mixed Effects Random Forest Model for Maintenance Cost Estimation in Heavy-Duty Vehicles Using Diesel and Alternative Fuels
by: Sasanka Katreddi, et al.
Published: (2023-01-01) -
Machine learning models for maintenance cost estimation in delivery trucks using diesel and natural gas fuels
by: Sasanka Katreddi, et al.
Published: (2023-06-01) -
Simulation-Based Comparative Assessment of a Multi-Speed Transmission for an E-Retrofitted Heavy-Duty Truck
by: Milla Vehviläinen, et al.
Published: (2022-03-01)