Coordinated and optimized dispatching method for electric buses
US-2024428361-A1 · Dec 26, 2024 · US
US2025314497A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2025314497-A1 |
| Application number | US-202519245131-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jun 20, 2025 |
| Priority date | Sep 13, 2021 |
| Publication date | Oct 9, 2025 |
| Grant date | — |
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Systems and methods for determining and using fleet-specific vehicle operator performance for a set of vehicle operators are disclosed. A fleet of vehicles may be operated by a set of vehicle operators. Exemplary implementations may obtain trip information or service information that include values for driver performance metrics pertaining to individual vehicle operators; determine the fleet-specific vehicle operator performance by aggregating information included in the obtained trip and/or service information; determine particular metric values for a particular vehicle operator; compare the determined fleet-specific vehicle operator performance with the determined particular metric values; based on the comparison, 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. In some implementations, a system may recommend taking a particular action, including but not limited to scheduling a break for the particular vehicle operator.
Opening claim text (preview).
What is claimed is: 1 . A system configured for using fleet-specific vehicle operator performance for a set of vehicle operators, wherein the fleet-specific vehicle operator performance is specific to the set of vehicle operators of a fleet of vehicles, wherein the fleet of vehicles is operated by the set of vehicle operators including multiple vehicle operators, wherein the fleet of vehicles includes a first vehicle operated by a first vehicle operator, the system comprising: one or more hardware processors configured by machine-readable instructions to: obtain, by the one or more hardware processors, a fleet-specific vehicle operator performance function that has been determined by aggregating performance information pertaining to driver performance during trips for the set of vehicle operators, wherein the fleet-specific vehicle operator performance function varies as a function of time spent driving by the set of vehicle operators during a given trip such that the fleet-specific vehicle operator performance at the start of the given trip is greater than the fleet-specific vehicle operator performance at the end of the given trip; during a first trip of the first vehicle operator in the first vehicle, continuously determine a first set of metric values for a first set of driver performance metrics pertaining to the first vehicle operator, wherein the first set of metric values is associated with a first amount of time currently spent driving so far by the first vehicle operator during the first trip such that the first set of metric values is updated over time during the first trip; during the first trip, continuously determine a rate of change for the first set of metric values during the first trip; during the first trip, continuously extrapolate the first set of metric values for the first vehicle operator based on the rate of change for the first set of metric values and a remaining duration as scheduled for the first trip; during the first trip, compare the first set of metric values as extrapolated against the fleet-specific vehicle operator performance function; and during the first trip, take a specific action, based on the comparison. 2 . The system of claim 1 , wherein the specific action includes electronically transferring one or more notifications to one or more of a client computing platform associated with the first vehicle operator, to a stakeholder of the fleet of vehicles, and/or to a remote computing server. 3 . The system of claim 2 , wherein the specific action further includes presenting the one or more notifications on one or more user interfaces associated with one or more of the client computing platform of the first vehicle operator, the stakeholder of the fleet of vehicles, and/or the remote computing server. 4 . The system of claim 1 , wherein the performance information represents one or more metric values for one or more driver performance metrics for individual vehicle operators in the set of vehicle operators. 5 . The system of claim 1 , wherein the performance information for a first particular trip is based at least in part on a first set of vehicle events that have been detected during the first particular trip of a first particular vehicle, 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. 6 . The system of claim 1 , wherein the performance information for the second particular trip is based at least in part on operator attentiveness of a second particular 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 second particular vehicle operator during operation of a second particular vehicle during the second particular trip. 7 . The system of claim 1 , wherein the performance information for a third particular trip is based on a combination of detected vehicle events and determined operator attentiveness of a third particular vehicle operator during the third particular trip. 8 . The system of claim 1 , wherein the fleet of vehicles includes a second vehicle operated by a second vehicle operator and a third vehicle operated by a third vehicle operator, wherein the one or more hardware processors are further configured to: during a second trip of the second vehicle operator, continuously determine a second set of metric values for a second set of driver performance metrics pertaining to the second vehicle operator; during the second trip, continuously determine a second rate of change for the second set of metric values; during the second trip, continuously extrapolate the second set of metric values based on the second rate of change for the second set of metric values; during the second trip, perform a second comparison of the second set of metric values as extrapolated against the fleet-specific vehicle operator performance function; during a third trip of the third vehicle operator, continuously determine a third set of metric values for a third set of driver performance metrics pertaining to the third vehicle operator; during the third trip, continuously determine a third rate of change for the third set of metric values; during the third trip, continuously extrapolate the third set of metric values based on the third rate of change for the third set of metric values; and during the third trip, perform a third comparison of the third set of metric values as extrapolated against the fleet-specific vehicle operator performance function. 9 . The system of claim 8 , wherein the one or more hardware processors are further configured to: during the second trip, take a second action based on the second comparison; and during the third trip, take a third action based on the third comparison. 10 . The system of claim 9 , wherein the second action includes electronically transferring a second notification that includes house-of-service (HOS) information pertaining to the second vehicle operator, and wherein the third action includes electronically transferring a third notification that includes house-of-service (HOS) information pertaining to the third vehicle operator. 11 . A method for using fleet-specific vehicle operator performance for a set of vehicle operators, wherein the fleet-specific vehicle operator performance is specific to the set of vehicle operators of a fleet of vehicles, wherein the fleet of vehicles is operated by the set of vehicle operators including multiple vehicle operators, wherein the fleet of vehicles includes a first vehicle operated by a first vehicle operator, the method comprising: obtaining a fleet-specific vehicle operator performance function that has been determined by aggregating performance information pertaining to driver performance during trips for the set of vehicle operators, wherein the fleet-specific vehicle operator performance function varies as a function of time spent driving by the set of vehicle operators during a given trip such that the fleet-specific vehicle operator performance at the start of the given trip is greater than the fleet-specific vehicle operator performance at the end of the given trip; during a first trip of the first vehicle operator in the first vehicle, continuously determining a first set of metric values for a first set of driver performance metrics pertaining to the first vehicle operator, wherein the first set of metric values is associated with a first amount of time currently spent driving so far by the first vehicle operator during the first trip such that the first set of metric values is updated over time during the first trip;
Image sensing, e.g. optical camera · CPC title
Performance of employee with respect to a job function · CPC title
Scheduling, planning or task assignment for a person or group · CPC title
Attention level, e.g. attentive to driving, reading or sleeping · CPC title
Driving style or behaviour · CPC title
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