Systems and methods for determining and using deviations from driver-specific performance expectations

Patent metadata

Field	Value
Publication number	US-12125320-B2
Application number	US-202117473784-A
Country	US
Kind code	B2
Filing date	Sep 13, 2021
Priority date	Sep 13, 2021
Publication date	Oct 22, 2024
Grant date	Oct 22, 2024

Abstract

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.

First claim

What is claimed is:

1. A system configured for determining and using deviations from one or more driver-specific performance expectations to modify an effective speed limit for a first particular vehicle, the system comprising:
one or more hardware processors configured by machine-readable instructions to:
obtain trip information for a set of trips by a first vehicle operator, wherein the trip information for an individual trip in the set of trips includes:
(i) an individual trip duration for the individual trip,
(ii) performance information that represents one or more metric values for one or more driver performance metrics pertaining to the first vehicle operator throughout the individual trip duration;

determine, by the one or more hardware processors, the one or more driver-specific performance expectations by aggregating the performance information in the obtained trip information, wherein the one or more driver-specific performance expectations vary as a function of time spent driving by the first vehicle operator during a given trip;
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 the one or more driver-specific performance expectations for the amounts of time spent driving corresponding to the sets of metric values, 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;
during the first trip, continuously determine in an ongoing manner, by the one or more hardware processors, one or more deviations from the one or more driver-specific performance expectations, based on the one or more comparisons;
during the first trip, determine, by the one or more hardware processors, whether to effectuate an action based on the one or more deviations from the one or more driver-specific performance expectations, wherein the action is modifying the effective speed limit for the first particular vehicle operated by the first vehicle operator; and
during the first trip, effectuate the action, by the one or more hardware processors, based on the determination and present one or more notifications to the first vehicle operator and/or a stakeholder of a fleet of vehicles that includes the first particular vehicle regarding the effectuated action.

2. The system of claim 1 , 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.

3. The system of claim 1 , 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.

4. The system of claim 1 , 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.

5. 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.

6. The system of claim 5 , 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.

7. 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.

8. 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.

9. A method for determining and using deviations from one or more driver-specific performance expectations to modify an effective speed limit fora first particular vehicle, the method being implemented in a computer system that includes one or more hardware processors, the method comprising:
obtaining trip information for a set of trips, wherein the trip information for an individual trip in the set of trips includes (i) an individual trip duration for the individual trip, and (ii) performance information that represents one or more metric values for one or more driver performance metrics pertaining to a first vehicle operator throughout the individual trip duration;
determining, by the one or more hardware processors, the one or more driver-specific performance expectations by aggregating the performance information in the obtained trip information, wherein the one or more driver-specific performance expectations vary as a function of time spent driving by the first vehicle operator during a given trip;
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 oper

Assignees

• Omnitracs Llc

Inventors

• Ghanbari Reza
• Bose Ashim
• Palmer Jason
• Wagstaff David

Classifications

• G07C5/02

  Registering or indicating driving, working, idle, or waiting time only (apparatus forming part of taximeters G07B13/00) · CPC title

• G01C21/3415 Primary

  Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents · CPC title

• B60Q9/00

  Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00 {, e.g. haptic signalling} · CPC title

• G06Q10/06398

  Performance of employee with respect to a job function · CPC title

• G06Q10/06311

  Scheduling, planning or task assignment for a person or group · CPC title