Spatial correlation analysis of near ship collision hotspots with local maritime traffic characteristics
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Spatial correlation analysis of near ship collision hotspots with local maritime traffic characteristics
Authors
Keywords
Maritime traffic safety, Near collision clusters, Ship near collision hotspots, Spatial autocorrelation analysis, Maritime traffic characteristics
Journal
RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume 209, Issue -, Pages 107463
Publisher
Elsevier BV
Online
2021-01-18
DOI
10.1016/j.ress.2021.107463
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Data mining approach to shipping route characterization and anomaly detection based on AIS data
- (2020) H. Rong et al. OCEAN ENGINEERING
- Exploring AIS data for intelligent maritime routes extraction
- (2020) Zhaojin Yan et al. APPLIED OCEAN RESEARCH
- Assessing and mapping maritime transportation risk based on spatial fuzzy multi-criteria decision making: A case study in the South China sea
- (2020) Xiao Zhou et al. OCEAN ENGINEERING
- Discussion on the article by Zhang & Meng entitled “Probabilistic ship domain with applications to ship collision risk assessmentˮ [Ocean Eng. 186 (2019) 106130]
- (2020) Jakub Montewka et al. OCEAN ENGINEERING
- Review and analysis of methods for assessing maritime waterway risk based on non-accident critical events detected from AIS data
- (2020) Lei Du et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Preventing shipping accidents: Past, present, and future of waterway risk management with Baltic Sea focus
- (2020) Ketki Kulkarni et al. SAFETY SCIENCE
- Ship trajectory uncertainty prediction based on a Gaussian Process model
- (2019) H. Rong et al. OCEAN ENGINEERING
- Probabilistic risk analysis for ship-ship collision: State-of-the-art
- (2019) Pengfei Chen et al. SAFETY SCIENCE
- Traffic Pattern Mining and Forecasting Technologies in Maritime Traffic Service Networks: A Comprehensive Survey
- (2019) Zhe Xiao et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Near-miss density map for safe navigation of ships
- (2018) Sang-Lok Yoo OCEAN ENGINEERING
- Fundamental diagram of ship traffic in the Singapore Strait
- (2018) Liujiang Kang et al. OCEAN ENGINEERING
- Maritime navigation accidents and risk indicators: An exploratory statistical analysis using AIS data and accident reports
- (2018) Rolf J. Bye et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Quantitative assessment of collision risk influence factors in the Tianjin port
- (2018) Jinfen Zhang et al. SAFETY SCIENCE
- Maritime anomaly detection: A review
- (2018) Maria Riveiro et al. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- Maritime Traffic Probabilistic Forecasting Based on Vessels’ Waterway Patterns and Motion Behaviors
- (2017) Zhe Xiao et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Review of ship safety domains: Models and applications
- (2017) Rafal Szlapczynski et al. OCEAN ENGINEERING
- An analysis of wintertime navigational accidents in the Northern Baltic Sea
- (2017) Floris Goerlandt et al. SAFETY SCIENCE
- Big AIS data based spatial-temporal analyses of ship traffic in Singapore port waters
- (2017) Liye Zhang et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
- Analysis of waterway transportation in Southeast Texas waterway based on AIS data
- (2016) Xing Wu et al. OCEAN ENGINEERING
- Maritime Transportation Risk Assessment of Tianjin Port with Bayesian Belief Networks
- (2016) Jinfen Zhang et al. RISK ANALYSIS
- A method for detecting possible near miss ship collisions from AIS data
- (2015) Weibin Zhang et al. OCEAN ENGINEERING
- Maritime transportation risk analysis: Review and analysis in light of some foundational issues
- (2015) Floris Goerlandt et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Detection and Analysis of the Main Routes of Voluntary Observing Ships in the North Atlantic
- (2014) Roberto Vettor et al. JOURNAL OF NAVIGATION
- Vessel Pattern Knowledge Discovery from AIS Data: A Framework for Anomaly Detection and Route Prediction
- (2013) Giuliana Pallotta et al. Entropy
- Use of AIS Data to Characterise Marine Traffic Patterns and Ship Collision Risk off the Coast of Portugal
- (2013) P.A.M. Silveira et al. JOURNAL OF NAVIGATION
- Incorporation of formal safety assessment and Bayesian network in navigational risk estimation of the Yangtze River
- (2013) D. Zhang et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- A framework for risk assessment for maritime transportation systems—A case study for open sea collisions involving RoPax vessels
- (2013) Jakub Montewka et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- On the reliability and validity of ship–ship collision risk analysis in light of different perspectives on risk
- (2013) Floris Goerlandt et al. SAFETY SCIENCE
- Machine learning for vessel trajectories using compression, alignments and domain knowledge
- (2012) Gerben Klaas Dirk de Vries et al. EXPERT SYSTEMS WITH APPLICATIONS
- Vessel Collision Frequency Estimation in the Singapore Strait
- (2012) Jinxian Weng et al. JOURNAL OF NAVIGATION
- Analyses and Implications of Accidents in Singapore Strait
- (2012) Xiaobo Qu et al. TRANSPORTATION RESEARCH RECORD
- The complex network of global cargo ship movements
- (2010) P. Kaluza et al. Journal of the Royal Society Interface
- Probability modelling of vessel collisions
- (2010) Jakub Montewka et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Traffic simulation based ship collision probability modeling
- (2010) Floris Goerlandt et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Estimating Navigation Patterns from AIS
- (2009) Karl Gunnar Aarsæther et al. JOURNAL OF NAVIGATION
- Analysis of the marine traffic safety in the Gulf of Finland
- (2009) P. Kujala et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started