Virtual safety manager
Systems and methods for curating video and other driving-related data for use in driver coaching, which may include selecting or ranking driving behaviors for coaching, selecting or ranking drivers for coaching, selecting or ranking video and other data to be used in coaching, preparing for, scheduling, and summarizing coaching sessions, matching the format of coaching to the behavior or person being coached, preventing unsafe driving situations, influencing job dispatch decisions based on safety scores, and/or reducing data bandwidth usage based on a determined coaching effectiveness of video data.
1. A computer-implemented method, comprising:
determining, by at least one processor, a risk profile of a route based at least in part on observation data collected from a camera of a device having at least one processor of the at least one processor and affixed at a windshield of a plurality of vehicles, wherein the device comprises at least a forward-facing camera;
determining, by the at least one processor, based on historical driving data of a driver including driving events based at least in part on visual data collected from the camera in or on the vehicle of the driver and the risk profile of the route, a driver-route safety score;
automatically allocating, by the at least one processor, based on the driver-route safety score, a job assignment to the driver, wherein the job assignment includes driving on the route.
2. The method of claim 1 , further comprising:
assigning a safety code to the route, and wherein the risk profile of the route is based on the safety code.
3. The method of claim 2 , wherein the safety code is one or more of long-haul, city, or other.
4. The method of claim 1 , wherein the risk profile of the route is determined based on a percentage makeup of the route, wherein the percentage makeup comprises a first percentage of the route that is characterized as long-haul, and a second percentage of the route that is characterized as city.
5. The method of claim 1 , wherein the route comprises a mix of road types; and wherein the risk profile of the route corresponds an exposure to different types of driving behaviors for each road type in the mix.
6. The method of claim 5 , wherein the different types of driving behaviors include tailgating, stop-sign violations, or traffic light violations.
7. The method of claim 1 , further comprising:
determining, based on the historical driving data, the driver safety score for each driver in a pool of drivers; and
selecting the driver in response to a determination that the driver safety score of the driver is substantially above average for the pool of drivers.
8. The method of claim 1 , further comprising:
determining, based on the historical driving data, the driver safety score for each driver in a pool of drivers, wherein a driver safety score is determined separately for different driving conditions.
9. The method of claim 8 , wherein the different driving conditions comprise intersection management; and further comprising:
identifying the driver as better, relative to the pool of drivers, at the intersection management.
10. The method of claim 8 , wherein the different driving conditions comprise speed management and following distance, and further comprising:
identifying the driver as better, relative to the pool, at the speed management and the following distance maintenance.
11. The method of claim 1 , further comprising:
determining, based on the historical driving data, a driver safety score for each driver in a pool of drivers,
providing the driver access to the driver safety score of the driver; and
providing the driver access to a ranking of the driver safety score of the driver relative to the pool of drivers.
12. The method of claim 11 , further comprising:
delivering a notification to the driver in response to the driver moving up in the ranking of the driver safety score.
13. The method of claim 11 , further comprising:
providing the driver access to a listing of top performers in the pool of drivers.
14. The method of claim 13 , wherein the listing of top performers comprises top performers in a specified driving category.
15. The method of claim 13 , wherein the listing of top performers comprises drivers with most improved scores.
16. The method of claim 1 , further comprising:
selecting the driver for the offering in response to a determination that the route is risky, and further based on a rotation schedule.
17. The method of claim 16 , wherein the rotation schedule is configured to ensure that riskier routes are handled by experienced drivers while also offering less stressful jobs to the experienced drivers on alternate days.
18. A system comprising:
one or more processors configured by machine-readable instructions to:
determine a risk profile of a route based at least in part on observation data collected from a camera of a device having at least one processor of the at least one processor and affixed at a windshield of a plurality of vehicles, wherein the device comprises at least a forward-facing camera;
determine, based on historical driving data of a driver including driving events based at least in part on visual data collected from the camera in or on the vehicle of the driver and the risk profile of the route, a driver-route safety score;
automatically allocate, based on the driver-route safety score, a job assignment to the driver, wherein the job assignment includes driving on the route.
19. The system of claim 18 , wherein the one or more processors are configured to determine a risk profile of the route by:
determining a mix of road types comprising the route; and
determining an exposure to different types of driving behaviors for each road type in the mix.
20. The system of claim 18 , wherein the one or more processors are further configured to:
determine, based on the historical driving data, the driver safety score for each driver in a pool of drivers; and
select the driver in response to a determination that the driver safety score of the driver is substantially above average for the pool of drivers.