Method for determining an optimal location to wait for a left turn to minimize traffic impact

A method for determining a left turn decision for a vehicle attempting to turn at an intersection of a road, the method comprising:

• obtaining a plurality of contextual features and a plurality of sensor data related to the intersection of the road, wherein the plurality of contextual features and the plurality of sensor data related to the intersection of the road includes vehicle dimensions of a user's vehicle and one or more dimensions of one or more vehicles proximate to the intersection;
• determining a location on the road for the vehicle to make the left turn decision, based on the plurality of contextual features and the plurality of sensor data, wherein the location provides a predetermined spatial clearance around the user's vehicle sufficient for the one or more vehicles proximate to the intersection to pass the user's vehicle while the user waits to perform a left turn;
• determining a left turn risk factor for the location on the road for the user to position the vehicle using a trained machine learning model to determine the location on the road and the left turn risk factor;
• and
• notifying the vehicle to the left turn risk factor with a left turn advisory message, where the left turn advisory message comprises an estimated wait time at the location on the road before a left turn is possible, where the estimated wait time is based on the left turn risk factor.

A computer program product comprising a non-transitory computer readable medium having stored thereon computer executable instructions, which when executed by one or more processors, cause the one or more processors to carry out operations to determine a left turn decision for a user driving a vehicle attempting to turn at an intersection of a road, the operations comprising:

• obtaining a plurality of contextual features and a plurality of sensor data related to the intersection of the road, wherein the plurality of contextual features and the plurality of sensor data related to the intersection of the road includes vehicle dimensions of a user's vehicle and one or more dimensions of one or more vehicles proximate to the intersection;
• determining a location on the road for the user to position the vehicle to make the left turn decision, based on the plurality of contextual features and/or the plurality of sensor data, wherein the location provides a predetermined spatial clearance around the user's vehicle sufficient for the one or more vehicles proximate to the intersection to pass the user's vehicle while the user waits to perform a left turn;
• determining a left turn risk factor for the location on the road for the user to position the vehicle using a trained machine learning model to determine the location on the road and the left turn risk factor;
• and
• alerting the user to the left turn risk factor with a left turn advisory message, where the left turn advisory message comprises an estimated wait time at the location on the road before a left turn is possible, where the estimated wait time is based on the left turn risk factor.