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US-2017314945-A1 · Nov 2, 2017 · US
US12320652B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12320652-B2 |
| Application number | US-202217699763-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 21, 2022 |
| Priority date | Jun 6, 2018 |
| Publication date | Jun 3, 2025 |
| Grant date | Jun 3, 2025 |
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The disclosed computer-implemented method may include improving safety in operating personal mobility vehicles. The method may track and/or control personal mobility vehicles associated with dynamic transportation networks. The method may improve safety related to PMV operation by taking advantage of the various sources and types of information related to PMV operation that are available in the dynamic transportation network. Other methods, systems, and computer-readable media are disclosed.
Opening claim text (preview).
What is claimed is: 1. A computer-implemented method, using a dynamic transportation management system, comprising: identifying a personal mobility vehicle (PMV) allocated by the dynamic transportation management system for use by a transportation requestor; determining an ability of the transportation requestor based on historical rides by the transportation requestor and user-supplied information provided by the transportation requestor to the dynamic transportation management system regarding previous riding experience of PMVs; customizing capabilities of the PMV based on the determined ability of the transportation requestor; receiving sensor data from one or more sensors of the PMV while the PMV is being operated by the transportation requestor; determining one or more usage information of the PMV based on the sensor data received from the one or more sensors of the PMV; analyzing one or more modification parameters of the PMV based on the one or more usage information of the PMV; and modifying at least one transportation function of the PMV based on the analyzing of the one or more modification parameters based on the one or more usage information and the customized capabilities of the PMV. 2. The computer-implemented method of claim 1 , wherein the sensor data from the one or more sensors of the PMV is collected from at least one of an inertial sensor, an image sensor, an inclination sensor, a location sensor, a proximity sensor, a charge level sensor, a propulsion mechanism status sensor, a biometric sensor, a radio frequency identification sensor, a torque sensor, a radar sensor, or an ultrasonic sensor. 3. The computer-implemented method of claim 1 , further comprising: determining a route for the transportation requestor to operate the PMV; and determining the one or more usage information of the PMV based on the determined route. 4. The computer-implemented method of claim 1 , further comprising: determining one or more geofence for the transportation requestor to operate the PMV, wherein each area divided by the one or more geofence corresponds to a setting of the one or more modification parameters. 5. The computer-implemented method of claim 1 , further comprising determining the one or more usage information of the PMV based on settings provided to the dynamic transportation management system by at least one of the transportation requestor or a guardian of the transportation requestor. 6. The computer-implemented method of claim 1 , wherein modifying the at least one transportation function of the PMV comprises at least one of: determining a maximum operating speed of the PMV; determining a restriction location of travel of the PMV; locking the PMV; actuating a braking system of the PMV; or controlling a steering system of the PMV. 7. The computer-implemented method of claim 1 , wherein the one or more usage information of the PMV comprises at least one of: a location of operation of the PMV; a body position of the transportation requestor operating the PMV; a state of focus of the transportation requestor; a type of terrain the PMV is operating on; or an ambient environmental condition of the PMV. 8. The computer-implemented method of claim 1 , wherein the one or more usage information further comprises a usage profile associated with the transportation requestor. 9. The computer-implemented method of claim 8 , wherein the usage profile associated with the transportation requestor comprises at least one of: a physical attribute of the transportation requestor; a skill level of the transportation requestor associated with operating the PMV; an age of the transportation requestor; or an experience level of the transportation requestor associated with operating the PMV. 10. The computer-implemented method of claim 1 , wherein modifying the at least one transportation function of the PMV while in use by the transportation requestor comprises modifying a speed of the PMV. 11. The computer-implemented method of claim 10 , wherein modifying the speed of the PMV comprises controlling a power level of a propulsion mechanism of the PMV. 12. The computer-implemented method of claim 1 , wherein the one or more modification parameters of the PMV comprise at least one of a proposed operating speed of the PMV, a proposed operating location of travel of the PMV, a proposed steering of the PMV, or a proposed brake actuation of the PMV. 13. A system comprising: one or more physical processors; and one or more memories coupled to one or more of the physical processors, the one or more memories comprising instructions operable when executed by the one or more physical processors to cause the system to perform operations comprising: identifying a personal mobility vehicle (PMV) allocated by a dynamic transportation management system for use by a transportation requestor; determining an ability of the transportation requestor based on historical rides by the transportation requestor and user-supplied information provided by the transportation requestor to the dynamic transportation management system regarding previous riding experience of PMVs; customizing capabilities of the PMV based on the determined ability of the transportation requestor; receiving sensor data from one or more sensors of the PMV while the PMV is being operated by the transportation requestor; determining one or more usage information of the PMV based on the sensor data received from the one or more sensors of the PMV; analyzing one or more modification parameters of the PMV based on the one or more usage information of the PMV; and modifying at least one transportation function of the PMV based on the analyzing of the one or more modification parameters based on the one or more usage information and the customized capabilities of the PMV. 14. The system of claim 13 , wherein the sensor data from the one or more sensors of the PMV is collected from at least one of an inertial sensor, an image sensor, an inclination sensor, a location sensor, a proximity sensor, a charge level sensor, a propulsion mechanism status sensor, a biometric sensor, a radio frequency identification sensor, a torque sensor, a radar sensor, or an ultrasonic sensor. 15. The system of claim 13 , wherein modifying the at least one transportation function of the PMV based on the analyzing comprises at least one of: determining a maximum operating speed of the PMV; determining a restriction location of travel of the PMV; locking the PMV; actuating a braking system of the PMV; or controlling a steering system of the PMV. 16. The system of claim 13 , wherein the one or more usage information of the PMV comprises at least one of: a location of operation of the PMV; a body position of the transportation requestor operating the PMV; a state of focus of the transportation requestor; a type of terrain the PMV is operating on; or an ambient environmental condition of the PMV. 17. The system of claim 13 , wherein the one or more modification parameters of the PMV comprise at least one of a proposed operating speed of the PMV, a proposed operating location of travel of the PMV, a proposed steering of the PMV, or a proposed brake actuation of the PMV. 18. A non-transitory computer-readable storage medium comprising computer-readable instructions that, when executed by at least one processor of a computing device, cause the computing device to: identify a personal mobility vehicle (PMV) allocated by a dynamic transportation management system for use by a transportation r
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