Systems and methods for generating driving recommendations

A non-transitory computer-readable medium for generating driving recommendations and storing instructions that when executed by one or more processors cause the one or more processors to:

• divide automatically a roadway into a plurality of lane-level cells;
• generate a graph network that represents the plurality of lane-level cells;
• gather information pertaining to one or more detected road agents;
• project onto the graph network the gathered information pertaining to the one or more detected road agents to update a current status of the plurality of lane-level cells;
• process the graph network based on the updated current status of the plurality of lane-level cells to predict a future status of the plurality of lane-level cells, the predicted future status including at least occupancy, by a detected road agent, of the respective lane-level cells in the plurality of lane-level cells;
• and
• generate a driving recommendation based, at least in part, on the predicted future status of the plurality of lane-level cells.

A method of generating driving recommendations, the method comprising:

• dividing automatically a roadway into a plurality of lane-level cells;
• generating a graph network that represents the plurality of lane-level cells;
• gathering information pertaining to one or more detected road agents;
• projecting onto the graph network the gathered information pertaining to the one or more detected road agents to update a current status of the plurality of lane-level cells;
• processing the graph network based on the updated current status of the plurality of lane-level cells to predict a future status of the plurality of lane-level cells, the predicted future status including at least occupancy, by a detected road agent, of the respective lane-level cells in the plurality of lane-level cells;
• and
• generating a driving recommendation based, at least in part, on the predicted future status of the plurality of lane-level cells.