Personalized routing based on driver fatigue map

A device, comprising:

• a non-transitory memory storage comprising instructions;
• and
• one or more processors in communication with the memory, wherein the one or more processors execute the instructions to:
• access one or more data sources storing map data including historical fatigue data and current fatigue data for one or more segments of a route for drivers of one or more neighboring vehicles;
• generate a personalized fatigue map for a driver of a current vehicle based on the map data obtained by accessing the one or more data sources, where the personalized fatigue map displays predicted driver fatigue of the driver of the current vehicle for the one or more segments on the route;
• monitor the drivers of the one or more neighboring vehicles and the current vehicle to detect driver fatigue based on readings captured by one or more sensors, where a level of the driver fatigue is measured according to a fatigue score;
• output a recommendation, upon detection of the driver fatigue, to the driver of the current vehicle that is based on the level of the driver fatigue and update the personalized fatigue map to reflect the recommendation;
• update a historical fatigue map and a current fatigue map to reflect a level of fatigue of the drivers in the one or more neighboring vehicles;
• and
• update the personalized fatigue map to alter the route of the current vehicle to avoid the drivers in the one or more neighboring vehicles determined to pose a safety risk.

A non-transitory computer-readable medium storing computer instructions, that when executed by one or more processors, cause the one or more processors to perform the steps of:

• accessing one or more data sources storing map data including historical fatigue data and current fatigue data for one or more segments of a route for drivers of one or more neighboring vehicles;
• generating a personalized fatigue map for a driver of a current vehicle based on the map data obtained by accessing the one or more data sources, where the personalized fatigue map displays predicted driver fatigue of the driver of the current vehicle for the one or more segments on the route;
• monitoring the drivers of the one or more neighboring vehicles and the current vehicle to detect driver fatigue based on readings captured by one or more sensors, where a level of the driver fatigue is measured according to a fatigue score;
• outputting a recommendation, upon detection of the driver fatigue, to the driver of the current vehicle that is based on the level of the driver fatigue and updating the personalized fatigue map to reflect the recommendation;
• updating a historical fatigue map and a current fatigue map to reflect a level of fatigue of the drivers in the one or more neighboring vehicles;
• and
• updating the personalized fatigue map to alter the route of the current vehicle to avoid the drivers in the one or more neighboring vehicles determined to pose a safety risk.