A review of ship collision risk assessment, hotspot detection and path planning for maritime traffic control in restricted waters

Abstract

The three research topics, ship collision risk assessment, ship traffic hotspot detection and prediction, and collision-avoidance based ship path planning, are vital for next-generation vessel traffic management and monitoring systems. The system development is closely related to big data analytics and artificial intelligence for restricted waters. This study, therefore, aims to analyse the state-of-the art of these three topics over the latest decade, identify research gaps, and shed light on future research avenues. To achieve these three objectives, we critically and systematically review related articles that were published during the period between 2011 and 2021. We believe that this comprehensive and critical literature review would have a significant and profound impact on the formal safety assessment and vessel traffic management, and monitoring studies because it is not only an extension but also an essential continuity work of the literature review on maritime waterway risk assessment and prediction, as well as ship path guidance for ship collision risk mitigation in accordance with current automation vessels development and modern intelligent port construction.

Literature review on maritime cybersecurity: state-of-the-art

“…For example, the situation awareness for navigation must reach beyond the physical observation domain (i.e. collision risk evaluation and prediction, the effect of environmental conditions on collision risk) (Fang et al, 2018a;Yu et al, 2019Yu et al, , 2021aYu et al, , 2021bYu et al, , 2023Xu et al, 2021Xu et al, , 2023Liu et al, 2023) and the mutual dependability risk reconnaissance between cyber and physical systems.…”

Ship Behavior Pattern Analysis Based on Graph Theory: A Case Study in Tianjin Port

“…Graph theory can be applied to layout [21] and scheduling problems [22,23]. Moreover, the utilization of graphs is possible in route planning [24,25] and analysis of transportation networks [26][27][28]. However, the application of graph theory for the analysis of regularities and correlations of ship behavior in port areas has been underexplored in the existing literature.…”