Method, apparatus and vehicle for adaptively evaluating a driver's performance in safe driving
US-2023331239-A1 · Oct 19, 2023 · US
US2025014397A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2025014397-A1 |
| Application number | US-202418894432-A |
| Country | US |
| Kind code | A1 |
| Filing date | Sep 24, 2024 |
| Priority date | Sep 13, 2021 |
| Publication date | Jan 9, 2025 |
| Grant date | — |
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Systems and methods for determining and using deviations from driver-specific vehicle performance expectations for a particular vehicle operator are disclosed. Exemplary implementations may obtain trip information or service information that include values for driver performance metrics pertaining to a particular vehicle operator; determine the driver-specific performance expectations by aggregating information included in the obtained trip information; determine particular metric values for a current trip; compare the determined driver-specific performance expectations with the particular metric values for the current trip; determine deviations based on the comparisons; determine whether to recommend an action based on the deviations; and generate and/or provide one or more notifications to at least one of the particular vehicle operator, a stakeholder of the fleet of vehicles, and a remote computing server.
Opening claim text (preview).
What is claimed is: 1 . A system configured for determining and using driver-specific performance expectations for a first vehicle operator operating a first particular vehicle, the system comprising: one or more hardware processors configured by machine-readable instructions to: obtain, by the one or more hardware processors, a first scheduled trip duration for a first trip of the first vehicle operator; during the first trip, continuously determine in an ongoing manner, by the one or more hardware processors, sets of metric values for sets of driver performance metrics pertaining to the first vehicle operator, wherein individual sets of metric values for sets of driver performance metrics correspond with amounts of time spent driving by the first vehicle operator during the first trip, wherein the sets of metric values for the sets of driver performance metrics includes a first set of metric values for a first set of driver performance metrics, wherein the first set of metric values is associated with a first amount of time spent driving by the first vehicle operator during the first trip; during the first trip, continuously perform in an ongoing manner, by the one or more hardware processors, one or more comparisons between the sets of metric values and one or more driver-specific performance expectations for the amounts of time spent driving by the first vehicle operator during the first trip, such that the first set of metric values is compared to the one or more driver specific performance expectations for the first amount of time spent driving by the first vehicle operator, wherein the one or more driver-specific performance expectations are specific to the first vehicle operator and based on driving performance by the first vehicle operator during previous trips; and during the first trip, make a determination, by the one or more hardware processors, whether to effectuate an action based on the one or more comparisons, wherein the action is modifying one or more vehicle event thresholds for detecting vehicle events and/or notifying the first vehicle operator and/or a stakeholder of a fleet of vehicles that includes the first particular vehicle. 2 . The system of claim 1 , wherein the one or more hardware processors are further configured to: during the first trip, effectuate the action, by the one or more hardware processors, based on the determination. 3 . The system of claim 1 , wherein the previous trips include a set of trips, wherein the driving performance is based on performance information for the previous trips, wherein the set of trips includes a first particular trip of the first particular vehicle, wherein the performance information for the first particular trip is based at least in part on a first set of vehicle events that have been detected, wherein detection of the first set of vehicle events is based on output signals generated by a set of sensors that are carried by the first particular vehicle. 4 . The system of claim 1 , wherein the previous trips include a set of trips, wherein the driving performance is based on performance information for the previous trips, wherein the set of trips includes a second particular trip of the first particular vehicle, wherein the performance information for the second particular trip is based at least in part on operator attentiveness of the first vehicle operator, wherein determination of the operator attentiveness is based on output signals captured by one or more cameras configured to capture image information of the first vehicle operator during the second particular trip. 5 . The system of claim 1 , wherein the previous trips include a set of trips, wherein the driving performance is based on performance information for the previous trips, wherein the set of trips includes a third particular trip of the first particular vehicle that is operated by the first vehicle operator, wherein the performance information for the third particular trip is based on a combination of detected vehicle events and determined operator attentiveness of the first vehicle operator. 6 . The system of claim 1 , wherein the one or more driver-specific performance expectations at a particular time during a given trip ranges between a lower level and a higher level, wherein a scheduled duration of the given trip exceeds the particular time spent driving by the first vehicle operator, and wherein the one or more comparisons include a comparison between a particular metric value with the lower level, wherein the particular metric value has been determined for the first vehicle operator, and wherein the particular metric value is associated with a future moment during the given trip. 7 . The system of claim 6 , wherein the action is effectuated responsive to at least one of: (i) the particular metric value falling below the lower level, and (ii) the particular metric value falling below a threshold performance level. 8 . The system of claim 1 , wherein the determination includes: extrapolating the first set of metric values through the first scheduled trip duration and determining whether the extrapolated first set of metric values falls below one or more threshold performance levels. 9 . The system of claim 1 , wherein the trip information includes information regarding individual vehicle types, wherein the one or more comparisons are limited to the individual vehicle types that are similar to a first vehicle type of the first particular vehicle that has been operated by the first vehicle operator. 10 . The system of claim 1 , wherein the driving performance by the first vehicle operator during the previous trips varies as a function of time spent driving by the first vehicle operator during a given trip. 11 . A method for determining and using driver-specific performance expectations for a first vehicle operator operating a first particular vehicle, the method being implemented in a computer system that includes one or more hardware processors, the method comprising: obtaining, by the one or more hardware processors, a first scheduled trip duration for a first trip of the first vehicle operator; during the first trip, continuously determining in an ongoing manner, by the one or more hardware processors, sets of metric values for sets of driver performance metrics pertaining to the first vehicle operator, wherein individual sets of metric values for sets of driver performance metrics correspond with amounts of time spent driving by the first vehicle operator during the first trip, wherein the sets of metric values for the sets of driver performance metrics includes a first set of metric values for a first set of driver performance metrics, wherein the first set of metric values is associated with a first amount of time spent driving by the first vehicle operator during the first trip; during the first trip, continuously performing in an ongoing manner, by the one or more hardware processors, one or more comparisons between the sets of metric values and one or more driver-specific performance expectations for the amounts of time spent driving by the first vehicle operator during the first trip, such that the first set of metric values is compared to the one or more driver specific performance expectations for the first amount of time spent driving by the first vehicle operator, wherein the one or more driver-specific performance expectations are specific to the first vehicle operator and based on driving performance by the first vehicle operator during previous trips; and during the first trip, making a determination, by the one or more hardware processors, whether to effectuate an action based on the one or more comparisons, wherein the acti
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