Maritime accident risk prediction integrating weather data using machine learning
Authors:
- Peter BrandtPBPeter Brandt
- Ziaul Haque MunimZMZiaul Haque Munim
- Meriam ChaalMCMeriam Chaal
- Hooi-Siang KangHKHooi-Siang Kang
Top Cited Papers
Open Access
- 13 September 2024
- journal article
- research article
- Published by Elsevier in Transportation Research Part D: Transport and Environment
- Vol. 136
Abstract
No abstract availableKeywords
Funding Information
- Norges Forskningsråd (322410)
This publication has 26 references indexed in Scilit:
- Geographical spatial analysis and risk prediction based on machine learning for maritime traffic accidents: A case study of Fujian sea areaOcean Engineering, 2022
- Analysis and assessment of ship collision accidents using Fault Tree and Multiple Correspondence AnalysisOcean Engineering, 2022
- Machine learning based visibility estimation to ensure safer navigation in strait of IstanbulApplied Ocean Research, 2021
- AutoML: A survey of the state-of-the-artKnowledge-Based Systems, 2021
- Maritime accident prevention strategy formulation from a human factor perspective using Bayesian Networks and TOPSISOcean Engineering, 2020
- Half-century research developments in maritime accidents: Future directionsAccident Analysis & Prevention, 2019
- Modified human factor analysis and classification system for passenger vessel accidents (HFACS-PV)Ocean Engineering, 2018
- The effect of extreme weather conditions on commercial fishing activities and vessel incidents in Atlantic CanadaOcean & Coastal Management, 2016
- Econometric analysis of the changing effects in wind strength and significant wave height on the probability of casualty in shippingAccident Analysis & Prevention, 2011
- A desicion-theoretic generalization of on-line learning and an application to boosting1995