Information retrieval for Northern Sea Route (NSR) navigation: A statistical approach using the AIS and TOPAZ4 data

摘要: Abstract The Northern Sea Route (NSR) is becoming a practical passage for transport during the warm season due to Arctic sea ice reduction. There need new navigational support as LNG shipments are increasing in recent years. In this research, non-heuristic optimal route search attempted near New Siberian Islands. assumption that an related surrounding conditions. Accordingly, empirical formula considering vessel specifications, and environmental condition parameters can predict transit time along specific course. Then, corresponding shortest predicted becomes route. Multi linear LASSO regressions applied over surroundings of Islands, where three routes lie. While obtained functions both overfitting models not suitable prediction, one estimate more reasonable range standardized velocities. ranges velocities through domain from 310 1640 km 602 km per day by multi models, respectively. regression analysis might be expected identify points all cautions necessary NSR.