Abatement of atmospheric pollutant emissions with autonomous shipping in maritime transportation using Bayesian probabilistic forecasting
This study examines the potential abatement of environmental pollutant emissions with the adoption of autonomous vessels in future maritime transportation using Bayesian probabilistic forecasting algorithm. The emission reductions can be attributed to the related technological advancement, including...
Main Authors: | Liu, Jiahui, Law, Adrian Wing-Keung, Duru, Okan |
---|---|
Other Authors: | School of Civil and Environmental Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/155594 |
Similar Items
-
Reducing emissions of atmospheric pollutants along major dry bulk and tanker routes through autonomous shipping
by: Liu, Jiahui, et al.
Published: (2022) -
Assessment of atmospheric pollutant emissions with maritime energy strategies using bayesian simulations and time series forecasting
by: Liu, Jiahui, et al.
Published: (2022) -
Operational risk identification of maritime surface autonomous ship: A network analysis approach
by: Li, Xue, et al.
Published: (2023) -
Synthetic Maritime Traffic Generation System for Performance Verification of Maritime Autonomous Surface Ships
by: Eunkyu Lee, et al.
Published: (2024-01-01) -
Newbuilding ship price forecasting by parsimonious intelligent model search engine
by: Gao, Ruobin, et al.
Published: (2022)