Systems and methods for using risk profiles for creating and deploying new vehicle event definitions to a fleet of vehicles

1. A system configured for using risk profiles for creating and deploying new vehicle event definitions to a fleet of vehicles including a first vehicle and a second vehicle, the system comprising:

the first vehicle including a first set of sensors configured to generate first output signals, wherein the first vehicle is configured to detect vehicle events by the first vehicle based on the generated first output signals;

the second vehicle including a second set of sensors configured to generate second output signals, wherein the second vehicle is configured to detect vehicle events by the second vehicle based on the generated second output signals;

one or more hardware processors configured by machine-readable instructions to

obtain a first risk profile, a second risk profile, and vehicle event characterization information, wherein the first risk profile is specific to a certain context for detecting vehicle events, wherein the first risk profile characterizes a first set of values representing likelihoods of occurrences of vehicle events matching the certain context, wherein the occurrences of the vehicle events include collisions and near-collisions, wherein the second risk profile is specific to operators, wherein the second risk profile characterizes a second set of values representing likelihoods of occurrences of vehicle events matching the operators, and wherein the vehicle event characterization information characterizes one or more types of vehicle events to be used in creating and deploying the new vehicle event definitions;

automatically select individual ones of the previously detected vehicle events that have one or more characteristics in common, wherein the one or more characteristics include one or more of geographical location, time of day, demographic information of vehicle operators, and/or a sequence of operations performed by vehicle operators, wherein the selection is based on one or more of the first risk profile, the second risk profile, and the vehicle event characterization information;

automatically determine circumstances for at least a predefined period prior to occurrences of the selected vehicle events that have the one or more characteristics in common;

automatically create a new vehicle event definition based on the determined set of circumstances for at least the predefined period prior to the occurrences of the selected vehicle events that have the one or more characteristics in common;

automatically and electronically transfer instructions that include the new vehicle event definition to individual vehicles in the fleet of vehicles including the first vehicle and the second vehicle;

wherein the first vehicle is further configured to:

execute, by the first vehicle, the instructions; and

detect, by the first vehicle, a first additional vehicle event in accordance with the new vehicle event definition;

wherein the second vehicle is further configured to:

execute, by the second vehicle, the instructions; and

detect, by the second vehicle, a second additional vehicle event in accordance with the new vehicle event definition;

and

wherein the one or more hardware processors are further configured to:

receive additional vehicle event information from the individual vehicles, wherein the additional vehicle event information includes information regarding the first additional vehicle event and the second additional vehicle event that have been detected in accordance with the new vehicle event definition; and

present, via a user interface, the information regarding the first additional vehicle event and the second additional vehicle event to at least one of a fleet manager and a stakeholder.

2. The system of claim 1 , wherein the one or more hardware processors are further configured by machine-readable instructions to:

modify one or more of the first risk profile and/or the second risk profile based on the additional vehicle event information.

3. The system of claim 1 , wherein the first set of values and the second set of values are based on the vehicle event information, wherein the previously detected vehicle events have been detected by the fleet of vehicles, wherein the vehicle event information includes the certain context for the previously detected vehicle events and the operators for the previously detected vehicle events.

4. The system of claim 1 , wherein the certain context for detecting vehicle events includes one or more of location, local weather, heading of one or more vehicles, and/or traffic conditions.

5. The system of claim 1 , wherein the certain context for detecting vehicle events includes one or more of objects on roadways during detection of vehicle events, other incidents within a particular timeframe of detection of vehicle events, time of day, lane information, and/or presence of autonomously operated vehicles within a particular proximity.

6. The system of claim 1 , wherein the one or more types of vehicle events include a first type of vehicle event, and wherein the first type of vehicle event involves a vehicle exceeding a speed threshold.

7. The system of claim 1 , wherein the one or more types of vehicle events include a first type of vehicle event, and wherein the first type of vehicle event involves one or more of swerving, a U-turn, freewheeling, over-revving, lane-departure, short following distance, imminent collision, unsafe turning that approaches rollover and/or vehicle stability limits, hard braking, rapid acceleration, idling, driving outside a geo-fence boundary, crossing double-yellow lines, passing on single-lane roads, a certain number of lane changes within a certain amount of time or distance, fast lane change, cutting off other vehicles during lane-change speeding, running a red light, running a stop sign, parking a vehicle, and/or performing fuel-inefficient maneuvers.

8. A method for using risk profiles for creating and deploying new vehicle event definitions to a fleet of vehicles including a first vehicle and a second vehicle, the method comprising:

generating, by a first set of sensors included in the first vehicle, first output signals;

detecting vehicle events by the first vehicle based on the generated first output signals;

generating, by a second set of sensors included in the second vehicle, second output signals;

detecting vehicle events by the second vehicle based on the generated second output signals;

obtaining a first risk profile, a second risk profile, and vehicle event characterization information, wherein the first risk profile is specific to a certain context for detecting vehicle events, wherein the first risk profile characterizes a first set of values representing likelihoods of occurrences of vehicle events matching the certain context, wherein the occurrences of the vehicle events include collisions and near-collisions, wherein the second risk profile is specific to operators, wherein the second risk profile characterizes a second set of values representing likelihoods of occurrences of vehicle events matching the operators, and wherein the vehicle event characterization information characterizes one or more types of vehicle events to be used in creating and deploying the new vehicle event definitions;

automatically selecting individual ones of the previously detected vehicle events that have one or more characteristics in common, wherein the one or more characteristics include one or more of geographical location, time of day, demographic information of vehicle operators, and/or a sequence of operations performed by vehicle operators, wherein the selection is based on one or more of the first risk profile, the second risk profile, and the vehicle event characterization information;

automatically determining circumstances for at least a predefined period prior to occurrences of the selected vehicle events that have the one or more characteristics in common;

automatically creating a new vehicle event definition based on the determined set of circumstances for at least the predefined period prior to the occurrences of the selected vehicle events that have the one or more characteristics in common;

automatically and electronically transferring instructions that include the new vehicle event definition to individual vehicles in the fleet of vehicles including the first vehicle and the second vehicle;

executing, by the first vehicle, the instructions;

detecting, by the first vehicle, a first additional vehicle event in accordance with the new vehicle event definition, based on the generated first output signals;

executing, by the second vehicle, the instructions;

detecting, by the second vehicle, a second additional vehicle event in accordance with the new vehicle event definition, based on the generated second output signals;

receiving additional vehicle event information from the individual vehicles, wherein the additional vehicle event information includes information regarding the first additional vehicle event and the second additional vehicle event that have been detected in accordance with the new vehicle event definition; and

presenting, via a user interface, the information regarding the first additional vehicle event and the second additional vehicle event to at least one of a fleet manager and a stakeholder.

9. The method of claim 8 , further comprising

modifying one or more of the first risk profile and/or the second risk profile based on the additional vehicle event information.

10. The method of claim 8 , wherein the first set of values and the second set of values are based on the vehicle event information, wherein the previously detected vehicle events have been detected by the fleet of vehicles, wherein the vehicle event information includes the certain context for the previously detected vehicle events and the operators for the previously detected vehicle events.

11. The method of claim 8 , wherein the certain context for detecting vehicle events includes one or more of location, local weather, heading of one or more vehicles, and/or traffic conditions.

12. The method of claim 8 , wherein the certain context for detecting vehicle events includes one or more of objects on roadways during detection of vehicle events, other incidents within a particular timeframe of detection of vehicle events, time of day, lane information, and/or presence of autonomously operated vehicles within a particular proximity.

13. The method of claim 8 , wherein the one or more types of vehicle events include a first type of vehicle event, and wherein the first type of vehicle event involves a vehicle exceeding a speed threshold.

14. The method of claim 8 , wherein the one or more types of vehicle events include a first type of vehicle event, and wherein the first type of vehicle event involves one or more of swerving, a U-turn, freewheeling, over-revving, lane-departure, short following distance, imminent collision, unsafe turning that approaches rollover and/or vehicle stability limits, hard braking, rapid acceleration, idling, driving outside a geo-fence boundary, crossing double-yellow lines, passing on single-lane roads, a certain number of lane changes within a certain amount of time or distance, fast lane change, cutting off other vehicles during lane-change speeding, running a red light, running a stop sign, parking a vehicle, and/or performing fuel-inefficient maneuvers.