Proactive risk mitigation

1. A method for proactively mitigating risk to a vehicle traversing a vehicle transportation network, the method comprising:

determining a first hazard zone for a first hazard object ahead of the vehicle in a direction of travel of the vehicle, wherein the vehicle is traversing a lane within the vehicle transportation network, the lane is defined by a left lane boundary and a right lane boundary extending in a longitudinal direction relative to the direction of travel, and the first hazard zone includes a first target lateral constraint that extends over the left lane boundary and into the lane such that the vehicle may avoid the first hazard object without a speed constraint;

determining a second hazard zone for a second hazard object ahead of the vehicle in the direction of travel, wherein the second hazard zone includes a second target lateral constraint that extends over the right lane boundary and into the lane such that the vehicle may avoid the second hazard object without a speed constraint;

allocating, for each discretized time and location where the first hazard zone and the second hazard zone overlap in the longitudinal direction, a lateral buffer defined by the lane to a first allocated lateral constraint for the first hazard object and a second allocated lateral constraint for the second hazard object, wherein allocating the lateral buffer comprises:

using the first target lateral constraint and the second target lateral constraint as input; and

minimizing a difference between a lateral constraint ratio for the left lane boundary and a lateral constraint ratio for the right lane boundary;

determining a first longitudinal constraint based on a time of arrival of the vehicle at the first hazard zone;

determining a second longitudinal constraint based on a time of arrival of the vehicle at the second hazard zone;

determining, using the first allocated lateral constraint, the second allocated lateral constraint, the first longitudinal constraint, and the second longitudinal constraint, a proactive trajectory for the vehicle comprising at least one of a lateral contingency or a longitudinal contingency; and

controlling the vehicle according to the proactive trajectory.

2. The method of claim 1 , wherein:

allocating the lateral buffer comprises maximizing the first allocated lateral constraint and the second allocated lateral constraint while maintaining at least a minimum passing gap for the vehicle.

3. The method of claim 2 , wherein maximizing the first allocated lateral constraint and the second allocated lateral constraint comprises modifying at least one of the first target lateral constraint or the second target lateral constraint.

4. The method of claim 1 , wherein determining the proactive trajectory comprises:

determining the lateral contingency responsive to the first allocated lateral constraint and the second allocated lateral constraint defining a drivable area sufficient for the vehicle to pass the first hazard object and the second hazard object where the first hazard zone and the second hazard zone overlap in the longitudinal direction; and

determining the longitudinal contingency responsive to the drivable area being below a defined width, the longitudinal contingency based on whichever of the first longitudinal constraint or the second longitudinal constraint represents a more restrictive speed constraint for the vehicle.

5. The method of claim 1 , wherein the first hazard object is a dynamic hazard object, and the method comprises:

determining dynamic properties of the first hazard object;

determining a dynamic model of the first hazard object based on a classification of the first hazard object; and

predicting a range of trajectories for the first hazard object using the dynamic model and the dynamic properties, wherein determining the first hazard zone comprises determining, for the first hazard object, the first hazard zone associated with a trajectory of the predicted range of trajectories.

6. The method of claim 5 , wherein the classification of the dynamic hazard object comprises one of a motorized vehicle, a non-motorized vehicle, or a pedestrian, and the dynamic model represents at least one of a maximum acceleration, a minimum turning radius, a maximum turning radius, a maximum velocity, or a maximum deceleration of the dynamic hazard object.

7. The method of claim 6 , wherein the dynamic properties comprise a heading, a velocity, and an acceleration or deceleration of the dynamic hazard object.

8. An apparatus for proactively mitigating risk to a vehicle traversing a vehicle transportation network, the apparatus comprising:

a processor configured to:

determine a first hazard zone for a first hazard object ahead of the vehicle in a direction of travel of the vehicle, wherein the vehicle is traversing a lane within the vehicle transportation network, the lane is defined by a left lane boundary and a right lane boundary extending in a longitudinal direction relative to the direction of travel, and the first hazard zone includes a first target lateral constraint that extends over the left lane boundary and into the lane such that the vehicle may avoid the first hazard object without a speed constraint;

determine a second hazard zone for a second hazard object ahead of the vehicle in the direction of travel, wherein the second hazard zone includes a second target lateral constraint that extends over the right lane boundary and into the lane such that the vehicle may avoid the second hazard object without a speed constraint;

allocate, for each discretized time and location where the first hazard zone and the second hazard zone overlap in the longitudinal direction, a lateral buffer to a first allocated lateral constraint for the first hazard object and a second allocated lateral constraint for the second hazard object, wherein the processor is configured to allocate the lateral buffer using the first target lateral constraint and the second target lateral constraint as input;

determine a first longitudinal constraint based on a time of arrival of the vehicle at the first hazard zone;

determine a second longitudinal constraint based on a time of arrival of the vehicle at the second hazard zone;

determine, using the first allocated lateral constraint, the second allocated lateral constraint, the first longitudinal constraint, and the second longitudinal constraint, a proactive trajectory for the vehicle comprising at least one of a lateral contingency or a longitudinal contingency, wherein the processor is configured to determine the proactive trajectory by:

determining the lateral contingency responsive to the first allocated lateral constraint and the second allocated lateral constraint defining a drivable area sufficient for the vehicle to pass the first hazard object and the second hazard object where the first hazard zone and the second hazard zone overlap in the longitudinal direction; and

determining the longitudinal contingency responsive to the drivable area being below a defined width, the longitudinal contingency based on whichever of the first longitudinal constraint or the second longitudinal constraint represents a more restrictive speed constraint for the vehicle; and

transmit signals to control the vehicle according to the proactive trajectory.

9. The apparatus of claim 8 , wherein the processor is configured to allocate the lateral buffer by maximizing the first allocated lateral constraint and the second allocated lateral constraint while maintaining at least a minimum passing gap for the vehicle.

10. The apparatus of claim 9 , wherein the processor is configured to allocate the lateral buffer by minimizing a difference between a lateral constraint ratio for the left lane boundary and a lateral constraint ratio for the right lane boundary.

11. The apparatus of claim 8 , wherein the processor is configured to allocate the lateral buffer by minimizing a difference between a lateral constraint ratio for the left lane boundary and a lateral constraint ratio for the right lane boundary.

12. The apparatus of claim 8 , wherein the first hazard object is a dynamic hazard object, and the processor is configured to:

determine dynamic properties of the first hazard object while the first hazard object is moving;

determine a dynamic model of the first hazard object based on a classification of the first hazard object; and

predict a range of trajectories for the first hazard object using the dynamic model and the dynamic properties, wherein the processor is configured to determine the first hazard zone by determining, for the first hazard object, the first hazard zone associated with a trajectory of the predicted range of trajectories.

13. The apparatus of claim 12 , comprising:

a memory storing a plurality of dynamic models, wherein each of the plurality of dynamic models is associated with a respective classification, wherein the processor is configured to:

classify the dynamic hazard object; and

determine the dynamic model by selecting, using the classification, the dynamic model from the plurality of dynamic models.

14. The apparatus of claim 12 , wherein the classification of the dynamic hazard object comprises a make and a model of a motorized vehicle, and the dynamic model represents at least two of a maximum acceleration, a minimum turning radius, a maximum turning radius, a maximum speed, or a maximum deceleration of the make and model of the motorized vehicle.

15. The apparatus of claim 12 , wherein the first hazard zone changes over time by at least one of: increasing in size in a lateral direction, increasing in size in a longitudinal direction, moving in the lateral direction, or moving in the longitudinal direction.

16. The apparatus of claim 12 , wherein the predicted range of trajectories for the first hazard object comprises a predicted trajectory and deviations from the predicted trajectory, and the predicted range of trajectories changes over time.

17. The apparatus of claim 12 , wherein the processor is configured to determine the first hazard zone by determining a plurality of hazard zones, each associated with a respective trajectory of the predicted range of trajectories, and the first hazard zone is whichever hazard zone of the plurality of hazard zones represents a maximum lateral incursion into the direction of travel of the vehicle.

18. A vehicle, comprising:

a processor configured to proactively mitigate risk to the vehicle while traversing a vehicle transportation network by:

determining a first hazard zone for a first hazard object ahead of the vehicle in a direction of travel of the vehicle, wherein the vehicle is traversing a lane within the vehicle transportation network, the lane is defined by a left lane boundary and a right lane boundary extending in a longitudinal direction relative to the direction of travel, and the first hazard zone includes a first target lateral constraint that extends over the left lane boundary and into the lane such that the vehicle may avoid the first hazard object without a speed constraint;

determining a second hazard zone for a second hazard object ahead of the vehicle in the direction of travel, wherein the second hazard zone includes a second target lateral constraint that extends over the right lane boundary and into the lane such that the vehicle may avoid the second hazard object without a speed constraint;

allocating, for each discretized time and location where the first hazard zone and the second hazard zone overlap in the longitudinal direction, a lateral buffer to at least one of the first target lateral constraint or the second target lateral constraint to respectively generate a first allocated lateral constraint for the first hazard object and a second allocated lateral constraint for the second hazard object, wherein allocating the lateral buffer comprises minimizing a difference between a lateral constraint ratio for the left lane boundary and a lateral constraint ratio for the right lane boundary;

determining a first longitudinal constraint based on a first time of arrival of the vehicle at the first hazard zone;

determining a second longitudinal constraint based on a second time of arrival of the vehicle at the second hazard zone;

determining, using the first allocated lateral constraint, the second allocated lateral constraint, the first longitudinal constraint, and the second longitudinal constraint, a proactive trajectory for the vehicle comprising at least one of a lateral contingency or a longitudinal contingency; and

controlling the vehicle according to the proactive trajectory.

19. The vehicle of claim 18 , wherein allocating the lateral buffer comprises maximizing the first allocated lateral constraint and the second allocated lateral constraint while maintaining at least a minimum passing gap for the vehicle.

20. The vehicle of claim 18 , wherein determining the proactive trajectory comprises:

determining the lateral contingency responsive to the first allocated lateral constraint and the second allocated lateral constraint defining a drivable area sufficient for the vehicle to pass the first hazard object and the second hazard object where the first hazard zone and the second hazard zone overlap in the longitudinal direction; and

determining the longitudinal contingency responsive to the drivable area being below a defined width, the longitudinal contingency based on whichever of the first longitudinal constraint or the second longitudinal constraint represents a more restrictive speed constraint for the vehicle.

21. The vehicle of claim 18 , wherein the first hazard object is a dynamic hazard object, and the processor is further configured to proactively mitigate risk to the vehicle while traversing the vehicle transportation network by:

determining dynamic properties of the first hazard object;

determining a dynamic model of the first hazard object based on a classification of the first hazard object; and

predicting a range of trajectories for the first hazard object using the dynamic model and the dynamic properties, wherein determining the first hazard zone comprises determining, for the first hazard object, the first hazard zone associated with a trajectory of the predicted range of trajectories.