A distributed anti-collision decision support formulation in multi-ship encounter situations under COLREGs
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Antão, 2008, Causal factors in accidents of high-speed craft and conventional ocean-going vessels, Reliab. Eng. Syst. Saf., 93, 1292, 10.1016/j.ress.2007.07.010
Benjamin, 2006, A method for protocol-based collision avoidance between autonomous marine surface craft, J. Field Robot., 23, 333, 10.1002/rob.20121
Benjamin, M.R., Curcio, J.A., Leonard, J.J., & Newman, P.M. 2006b. Navigation of unmanned marine vehicles in accordance with the rules of the road. In: Proceedings of the IEEE International Conference on Robotics and Automation, pp. 3581–3587.
Celik, 2009, Analytical HFACS for investigating human errors in shipping accidents, Accid. Anal. Prev., 41, 66, 10.1016/j.aap.2008.09.004
Conventions on the International Regulations for Preventing Collision at Sea (COLREGs). 1972. The International Maritime Organization (IMO).
Harrald, 1998, Using system simulation to model the impact of human error in a maritime system, Saf. Sci., 30, 235, 10.1016/S0925-7535(98)00048-4
Lin, 2006, Behavior of ship officers in maneuvering to prevent a collision, J. Mar. Sci. Technol., 14, 225, 10.51400/2709-6998.2084
Liu, 2010, Study on maritime transportation safety pre-warning scheme of Yangtze river, J. Transp. Inf. Saf., 4, 116
Montewka, 2010, Probability modelling of vessel collisions, Reliab. Eng. Syst. Saf., 95, 573, 10.1016/j.ress.2010.01.009
Nski, 2012, Customized crossover in evolutionary sets of safe ship trajectories, Int. J. Appl. Math. Comput. Sci., 22, 999, 10.2478/v10006-012-0074-x
Perera, 2011, Fuzzy-logic based decision making system for collision avoidance of ocean navigation under critical collision conditions, J. Mar. Sci. Technol., 16, 84, 10.1007/s00773-010-0106-x
Perera, 2012, Intelligent ocean navigation and fuzzy-Bayesian decision/action formulation, IEEE J. Ocean. Eng., 37, 204, 10.1109/JOE.2012.2184949
Perera, 2014, Solutions to the failure and limitations of mamdani fuzzy inference in ship navigation, IEEE Trans. Veh. Technol., 63, 1539, 10.1109/TVT.2013.2288306
Smierzchalski, 1999, Evolutionary trajectory planning of ships in navigation traffic areas, J. Mar. Sci. Technol., 4, 1, 10.1007/s007730050001
Smierzchalski, 2000, Modeling of ship trajectory in collision situations by an evolutionary algorithm, IEEE Trans. Evol. Comput., 4, 227, 10.1109/4235.873234
Szlapczynski, 2012, On evolutionary computing in multi-ship trajectory planning, Appl. Intell., 37, 155, 10.1007/s10489-011-0319-7
Tam, 2010, Path-planning algorithm for ships in close-range encounters, J. Mar. Sci. Technol., 15, 395, 10.1007/s00773-010-0094-x
Tam, 2013, Cooperative path planning algorithm for marine surface vessels, Ocean Eng., 57, 25, 10.1016/j.oceaneng.2012.09.003
Tsou, 2010, The study of ship collision avoidance route planning by ant colony algorithm, J. Mar. Sci. Technol., 18, 746, 10.51400/2709-6998.1929
Tsou, 2010, Decision support from genetic algorithms for ship collision avoidance route planning and alerts, J. Navig., 63, 167, 10.1017/S037346330999021X
Tsou, 2010, Decision support from genetic algorithms for ship collision avoidance route planning and alerts, J. Navig., 63, 167, 10.1017/S037346330999021X
Wang, 2013, A spatial–temporal forensic analysis for inland–water ship collisions using AIS data, Saf. Sci., 57, 187, 10.1016/j.ssci.2013.02.006
Zaman, 2014, Fuzzy FMEA model for risk evaluation of ship collisions in the Malacca strait: based on AIS data, J. Simul., 8, 91, 10.1057/jos.2013.9
Zhang, 2013, Incorporation of formal safety assessment and Bayesian network in navigational risk estimation of the Yangtze river, Reliab. Eng. Syst. Saf., 118, 93, 10.1016/j.ress.2013.04.006
Zhang, 2012, A novel approach for assistance with anti-collision decision making based on the international regulations for preventing collisions at sea, Proc. Inst. Mech. Eng. Part M, 226, 250