Artificial-intelligence-based waterway information system

A system comprising:

• at least one hardware processor;
• and
• one or more software modules that are configured to, when executed by the at least one hardware processor,
• use a first 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 on the waterway,
• use a second training dataset, comprising weather data and river level data, to train a river level prediction model to predict a river level along the waterway for a given time, and,
• for each of a plurality of trips by maritime vessels along the waterway,
• receive a request that specifies the trip and a time of the trip from a user via a graphical user interface, and,
• in response to the request,
• use the travel time prediction model to predict the travel time for the trip,
• use the river level prediction model to predict the river level of the waterway at one or more points along the trip,
• generate a voyage plan based on one or both of the predicted travel time and the predicted river level, and
• display the voyage plan on a virtual map within the graphical user interface.

A non-transitory computer-readable medium having instructions stored therein, wherein the instructions, when executed by a processor, cause the processor to:

• use a first 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 on the waterway;
• use a second training dataset, comprising weather data and river level data, to train a river level prediction model to predict a river level along the waterway for a given time;
• and,
• for each of a plurality of trips by maritime vessels along the waterway,
• receive a request that specifies the trip and a time of the trip from a user via a graphical user interface, and,
• in response to the request,
• use the travel time prediction model to predict the travel time for the trip,
• use the river level prediction model to predict the river level of the waterway at one or more points along the trip,
• generate a voyage plan based on one or both of the predicted travel time and the predicted river level, and
• display the voyage plan on a virtual map within the graphical user interface.