Method, apparatus, and computer program product for predicting autonomous transition regions using historical information

A computer-implemented method for predicting autonomous transition regions using historical information, the computer-implemented method comprising:

• determining one or more features associated with one or more first vehicles traveling along a road segment associated with a first geographic area;
• and
• predicting, using a machine learning model that receives the one or more features, whether the road segment comprises an autonomous transition area in which a particular number of vehicles are transitioned from respective autonomous levels, wherein the machine learning model is trained based on historical autonomous transition data associated with one or more second vehicles that are transitioned from respective autonomous levels while traveling along one or more road segments within a second geographic area, different than the first geographic area.