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Decision Making for Improving Maritime Traffic Safety Using Constraint Programming

Saumya Bhatnagar, Akshat Kumar, Hoong Chuin Lau
2019 Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence  
To achieve this, we a) formalize the decision model for traffic hotspot mitigation including realistic maritime navigational features and constraints through consultations with domain experts; and b) develop  ...  a constraint programming based scheduling approach to mitigate hotspots.  ...  Acknowledgments This research is supported by the Agency for Science, Technology and Research (A*STAR), Fujitsu Limited and the National Research Foundation Singapore as part of the A*STAR-Fujitsu-SMU  ... 
doi:10.24963/ijcai.2019/803 dblp:conf/ijcai/BhatnagarKL19 fatcat:gdduxlpyifce7isz7k4kyzidfy

Towards STAMP Based Dynamic Safety Management of Eco-Socio-Technical Maritime Transport System

Robert Aps, Mihhail Fetissov, Floris Goerlandt, John Helferich, Madli Kopti, Pentti Kujala
2015 Procedia Engineering  
to further improvement and development.  ...  This paper attempts to demonstrate the conceptual potential of STAMP based on adaptive management of the Maritime Spatial Planning processes and integrated safety management of eco-socio-technical maritime  ...  Acknowledgements This study is part of the project "Strategic and Operational Risk Management for Wintertime Maritime Transportation System (STORMWINDS)".  ... 
doi:10.1016/j.proeng.2015.11.505 fatcat:6leulme6prhcvaztjl7vskonxi

Prediction Table for Marine Traffic for Vessel Traffic Service Based on Cognitive Work Analysis

Joo-Sung Kim, Jung Sik Jeong, Gyei-Kark Park
2013 International Journal of Fuzzy Logic and Intelligent Systems  
The prediction tool supports decision-making in terms of a proactive measure for the prevention of maritime accidents.  ...  Vessel Traffic Service (VTS) is being used at ports and in coastal areas of the world for preventing accidents and improving efficiency of the vessels at sea on the basis of "IMO RESOLUTION A.857 (20)  ...  Acknowledgments This research was a part of the project titled "Development of the Intelligent Technology for Marine Accident Protection & Salvage," funded by the Ministry of Oceans and Fisheries.  ... 
doi:10.5391/ijfis.2013.13.4.315 fatcat:pyha2rsb5rgztgq3yd2buths5q

Adaptive Information Visualization for Maritime Traffic Stream Sensor Data with Parallel Context Acquisition and Machine Learning

Kim, Lee
2019 Sensors  
It also introduces a method for safety context acquisition to assess the risk of collisions between vessels, using parallel and distributed processing of maritime stream data transmitted by sensors on  ...  It presents an architecture for an adaptive information visualization system for a maritime traffic control service.  ...  Human agents are needed to examine specific situations, using such tools as risk evaluators to make critical decisions. Current maritime traffic systems do not address certain problems.  ... 
doi:10.3390/s19235273 pmid:31795498 pmcid:PMC6928724 fatcat:mruww3qgnbd4nlsl6sgb4txf3y

Emergency Management of Maritime Accidents in the Yangtze River: Problems, Practice and Prospects

Xin Ping Yan, Bing Wu, Di Zhang, Jinfen Zhang
2017 TransNav: International Journal on Marine Navigation and Safety of Sea Transportation  
Afterwards, four practice cases, including decision support for maritime accidents, emergency resource allocation, emergency simulation system and effectiveness of emergency management, are introduced  ...  management system for maritime accidents in the future, and an ACP based maritime accident emergency management framework is proposed.  ...  Traditionally, this level is used to facilitate the decision-making process and the decision-maker only has to make decisions in terms of evaluation on these attributes.  ... 
doi:10.12716/1001.11.01.13 fatcat:oa7lhlgtnnbjjca5vdv7elrcem

Veliki skupovi podataka u pomorskoj industriji
Big Data in the Maritime Industry

Maris Mirović, Mario Miličević, Ines Obradović
2018 Naše More (Dubrovnik)  
Maritime industry is a complex system that requires a quick adaptation to changing conditions and in which decision-making needs to take into account a large number of parameters.  ...  This paper gives an overview of the applications of Big Data in maritime industry, specifically in logistics optimization, safety and energy efficiency improvement, as well as the challenges that systems  ...  Making decisions regarding maritime logistics to ensure safety, minimize cost and improve productivity means taking into account a large number of parameters susceptible to change.  ... 
doi:10.17818/nm/2018/1.8 fatcat:l7bdabtuajal7lmrfgnx3txyfu

The Role of the European Maritime Simulator Network in Assessing Dynamic Sea Traffic Management Principles

Anisa Rizvanolli, Hans-Christoph Burmeister, Ole John
2015 TransNav: International Journal on Marine Navigation and Safety of Sea Transportation  
The MONALISA 2.0 (ML 2.0) project aims to define the Sea Traffic Management concept (STM), where information is shared amongst all stakeholders in the maritime transport chain, including nautical officers  ...  Amongst others, testing and verifying the feasibility and benefits of STM and its solutions shall be done in the European Maritime Simulator Network (EMSN), a macro simulation environment for ship handling  ...  Optimizing traffic is achieved by using a coordinating attitude, not control, hence leaving the final decision to the Master, and using STM technical enablers.  Port Collaborative Decision Making (Port  ... 
doi:10.12716/1001.09.04.13 fatcat:hvgxi2pcpnbdbnxjabhtoaekrq

The Maturity of Automatic Identification Systems (AIS) and Its Implications for Innovation

EunSu Lee, Amit J. Mokashi, Sang Young Moon, GeunSub Kim
2019 Journal of Marine Science and Engineering  
, and maritime traffic management offshore.  ...  The member states of International Maritime Organization (IMO) have been leading in and enforcing the use of automatic identification systems (AIS) in the analysis of ship-to-ship collisions, vessel monitoring  ...  AIS also requires the need for standard analytic products or decision-making tools for users with limited capacity or expertise [12] .  ... 
doi:10.3390/jmse7090287 fatcat:cckypnaygnfttptxhziykyjudy

The Impacts of the Applications of Artificial Intelligence in Maritime Logistics

Batin Latif AYLAK
2022 European Journal of Science and Technology  
Two possible areas in the maritime industry are proposed for further research using AI capabilities. Predictive analysis is the first domain, followed by energy efficiency optimization.  ...  This study aims to identify current approaches in the usage of Artificial Intelligence (AI) methods for solving shipping problems.  ...  AI has become essential for data-driven decision-making across various industries (Liang & Liu, 2018) .  ... 
doi:10.31590/ejosat.1079206 fatcat:upag27kgwbd6badkbqluuak4ne

Review of Ship Behavior Characteristics in Mixed Waterborne Traffic

Yingjie Tang, Junmin Mou, Linying Chen, Yang Zhou
2022 Journal of Marine Science and Engineering  
With respect to intelligent decision-making, currently, unmanned ships mostly use intelligent algorithms to make decisions and tend to achieve both safe and efficient collision avoidance goals in a high-complexity  ...  According to the three modules of ships' perception, decision-making, and execution, the roles of humans and machines under different autonomy levels are analyzed.  ...  safety, reduce the navigation conflicts, improve the waterway capacity, and upgrade the maritime traffic supervision level.  ... 
doi:10.3390/jmse10020139 fatcat:s6k2ec3wjvgjfafpq7s2axs5ka

Scanning the Issue

Petros Ioannou
2019 IEEE transactions on intelligent transportation systems (Print)  
In particular, both historical Automatic Identification System and Long Range Identification and Tracking maritime traffic data over a desired area of interest have been used.  ...  It is shown using a simulation study that parameterization realizes improved throughput when compared with a nonparameterized strategy when using the same amount of computation time. environmental benefits  ...  The findings show that the proposed methodology framework has potentials to provide decision support for guiding future marine transportation planning as well as improving maritime traffic safety.  ... 
doi:10.1109/tits.2018.2885837 fatcat:crcgiff6czez3k5j4xn6mdcsj4

Capacity analysis of ship-tugging operations in a large container port

Liujiang Kang, Song Gao, Qiang Meng
2020 Asian Transport Studies  
Second, we develop a marine traffic simulation system, which can simulate maritime traffic conditions in restricted waters, such as large container ports and busy straits.  ...  First, we build a tugboat-service network using a directed graph, where the nodes consist of tugboat bases, anchorages, and berths while the arcs represent the directed links between nodes.  ...  The authors also appreciate the senior captains from Dalian Maritime University for conducting the maritime simulator-based experiments, which are important to the ship-collision-avoidance rules in our  ... 
doi:10.1016/j.eastsj.2020.100011 fatcat:zzf64uvfvjdxfekndujqj32q74

A STAMP-based approach for designing maritime safety management systems

Osiris A. Valdez Banda, Floris Goerlandt
2018 Safety Science  
This process is applied for sketching the safety management of the Vessel Traffic Services in Finland.  ...  The outcome of this study provides a descriptive process of analysis for designing maritime safety management systems.  ...  Acknowledgements The work presented in this article is part of the research project "Strategic and Operational Risk Management for Wintertime Maritime Transportation System" (BONUS STORMWINDS).  ... 
doi:10.1016/j.ssci.2018.05.003 fatcat:ila7j2hh5fek3h4gzwisex5mta

Improving Situation Awareness in the Maritime Domain [chapter]

Maurice Glandrup
2013 Situation Awareness with Systems of Systems  
For safety, traffic rules apply at sea. Yet in areas with heavy traffic, it is difficult to tell which vessels adhere to traffic rules and which ones do not.  ...  Organizations in the maritime safety and security domain have to cope with complex situations at sea, harbors, and rivers to maintain acceptable levels for safety and security.  ...  We would like to thank Piërre van de Laar, Jan Tretmans, Pierre America, and Frans Reckers for their useful feedback on an earlier version of this chapter.  ... 
doi:10.1007/978-1-4614-6230-9_2 fatcat:zatzw42arjcj3izg4iedh6m5hq

ESABALT Improvement of Situational Awareness in the Baltic with the Use of Crowdsourcing

Sarang Thombre, Robert Guinness, Liang Chen, Laura Ruotsalainen, Heidi Kuusniemi, Janusz Uriasz, Zbigniew Pietrzykowski, Juhani Laukkanen, Philippe Ghawi
2015 TransNav: International Journal on Marine Navigation and Safety of Sea Transportation  
The paper presents the intelligent, novel, user-driven solution and associated services developed in ESABALT for enhancing the maritime safety in the whole Baltic area.  ...  The system will consist of a situational awareness solution for real-time maritime traffic monitoring via utilizing various positioning technologies; an observation system of the marine environment relevant  ...  ACKNOWLEDGEMENT This research has been conducted within the project Enhanced Situational Awareness to Improve Maritime Safety in the Baltic (ESABALT), funded by the European Union's Joint Baltic Sea System  ... 
doi:10.12716/1001.09.02.04 fatcat:m2aogspxsfbcbjpnhvyqcu56mi
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