@article{oai:nipr.repo.nii.ac.jp:00016396,
 author = {Koyama, Tomoko and Nakanowatari, Takuya and Inoue, Jun},
 journal = {Polar Science},
 month = {Mar},
 note = {The Northern Sea Route (NSR) is becoming a practical passage for transport during the warm season due to Arctic sea ice reduction. There is a need for new navigational support as LNG shipments are increasing in recent years. In this research, a non-heuristic optimal route search is attempted near the New Siberian Islands. The assumption is that an optimal route is related to the surrounding conditions. Accordingly, an empirical formula considering vessel specifications, and environmental condition parameters can predict transit time along a specific course. Then, a route corresponding to the shortest predicted transit time becomes the optimal route. Multi linear and LASSO regressions are applied over the surroundings of the New Siberian Islands, where three routes lie. While the obtained functions are both overfitting models and not suitable for practical prediction, the LASSO one can estimate a more reasonable range of the standardized velocities. The ranges of the standardized velocities to transit through the domain is from 310 to 1640 km and from 310 to 602 km per day predicted by multi linear and LASSO models, respectively. The LASSO regression analysis might be expected to identify points where all the cautions are necessary along the NSR.},
 title = {Information retrieval for Northern Sea Route (NSR) navigation: A statistical approach using the AIS and TOPAZ4 data},
 year = {2021}
}