Meteorological shipping route decision-making system based on BP neural network

Daheng ZHANG; Yingjun ZHANG; Chuang ZHANG

doi:10.19693/j.issn.1673-3185.02565

[1] PRPIĆ-ORŠIĆ J, VETTOR R, FALTINSEN O M et al. The influence of route choice and operating conditions on fuel consumption and CO₂ emission of ships[J]. Journal of Marine Science and Technology, 21, 434-457(2016).

[2] BOUMAN E A, LINDSTAD E, RIALLAND R I et al. State-of-the-art technologies, measures, and potential for reducing GHG emissions from shipping–A review[J]. Transportation Research Part D: Transport and Environment, 52, 408-421(2017).

[5] Armstrong V N. Vessel optimisation for low carbon shipping[J]. Ocean Engineering, 73, 195-207(2013).

[8] GKEREKOS C, LAZAKIS I. A novel, data-driven heuristic framework for vessel weather routing[J]. Ocean Engineering, 197, 106887(2020).

[10] JOURNÉE J M J, MEIJERS J H C. Ship routeing for optimum performance: part I prediction of speed and power of a ship in a seaway[J]. Transactions IME, 1-11(1980).

[11] [11] HAGIWARA H. Weather routing of (sailassisted) mot vessels[D]. The herls: Delft University of Technology, 1989.

[12] KIM S W, JANG H K, CHA Y J et al. Development of a ship route decision-making algorithm based on a real number grid method[J]. Applied Ocean Research, 101, 102230(2020).

[13] KIM K I, LEE K M. Dynamic programming-based vessel speed adjustment for energy saving and emission reduction[J]. Energies, 11, 1273(2018).

[14] ZACCONE R, OTTAVIANI E, FIGARI M et al. Ship voyage optimization for safe and energy-efficient navigation: a dynamic programming approach[J]. Ocean Engineering, 153, 215-224(2018).

[15] BENTIN M, ZASTRAU D, SCHLAAK M et al. A New routing optimization tool-influence of wind and waves on fuel consumption of ships with and without wind assisted ship propulsion systems[J]. Transportation Research Procedia, 14, 153-162(2016).

[16] VETTOR R, SOARES C G. Development of a ship weather routing system[J]. Ocean Engineering, 123, 1-14(2016).

[17] BEŞIKÇI E B, ARSLAN O, TURAN O et al. An artificial neural network based decision support system for energy efficient ship operations[J]. Computers & Operations Research, 66, 393-401(2016).

[19] GKEREKOS C, LAZAKIS I, THEOTOKATOS G. Machine learning models for predicting ship main engine fuel oil consumption: a comparative study[J]. Ocean Engineering, 188, 106282(2019).

[21] KWON Y J. Speed loss due to added resistance in wind and waves[J]. Nav Archit, 3, 14-16(2008).

[22] ZHANG D H, ZHANG Y J, ZHANG C. Data mining approach for automatic ship-route design for coastal seas using AIS trajectory clustering analysis[J]. Ocean Engineering, 236, 109535(2021).