CPC G06N 3/08 (2013.01) [B63B 79/40 (2020.01); G01C 21/203 (2013.01); G06N 3/04 (2013.01); G08G 3/00 (2013.01); B63B 2213/00 (2013.01)] | 20 Claims |
1. A method comprising using at least one hardware processor to:
use a training dataset, comprising positional and non-positional data representing trips with known travel times along a waterway, to train a travel time prediction model to predict a travel time along the waterway for a given trip;
for each trip of one or more trips by a maritime vessel along the waterway,
receive a request that specifies that trip and a time of that trip, and
in response to the request,
use the travel time prediction model to predict a travel time for that trip, and
display a representation of that trip on a virtual map within a graphical user interface with an indication of the predicted travel time.
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