System and methods for assessment of rideshare trip

Patent metadata

Field	Value
Publication number	US-10697784-B1
Application number	US-201715653884-A
Country	US
Kind code	B1
Filing date	Jul 19, 2017
Priority date	Jul 19, 2017
Publication date	Jun 30, 2020
Grant date	Jun 30, 2020

Abstract

Techniques are disclosed for objectively assessing the driving performance of rideshare drivers and/or vehicles. The techniques include collecting data from various sources to aggregate trip data for several drivers and passengers over several ridesharing trips. This data may include telematics data collected from several passengers and/or drivers during each of their respective ridesharing trips, which indicates various aspects associated with operation of the vehicle. Each driver may then be correlated to his own set of trip data, such that a driving assessment may be made for each individual driver. When a new user subsequently requests a ride via a ridesharing provider, this driver assessment may be made available to the user, thereby providing the user with an objective assessment of the driver prior to the start of the scheduled ride.

First claim

What is claimed is:

1. A rideshare assessment server, comprising:
a communication unit configured to receive, via a computer network,

(i) information indicative of a plurality of historic ridesharing trips associated with a driver of a vehicle, and (ii) sensor data indicating one or more aspects associated with operation of the vehicle during each of the plurality of historic ridesharing trips when rideshare passengers were being driven by the driver, the sensor data collected via a plurality of mobile computing devices, each of the plurality of mobile computing devices being associated with a respective one of the rideshare passengers; and
a processor configured to correlate the sensor data that is collected via the plurality of mobile computing devices, over each of the plurality of historic ridesharing trips, to the driver and to determine an objective driver assessment for the driver based on the correlated sensor data indicating the one or more aspects associated with operation of the vehicle during each of the plurality of historic ridesharing trips,
wherein the processor is configured to determine the objective driver assessment by at least determining (i) a day driver assessment, and (ii) a night driver assessment based on time periods associated with the plurality of historic ridesharing trips,
wherein the communication unit is further configured to receive, via the computer network, information indicative of a scheduled ride with the driver and, in response to receipt of the scheduled ride, to transmit, via the computer network, one of the day driver assessment or the night driver assessment, based upon a time when the information indicative of the requested scheduled ride was received.

2. The rideshare assessment server of claim 1 , wherein each of the plurality of historic ridesharing trips corresponds to a ridesharing trip requested by the respective one of the rideshare passengers, the request transmitted the mobile computing device associated with the respective one of the rideshare passengers to an external computing device associated with a ridesharing provider.

3. The rideshare assessment server of claim 1 , wherein each of the rideshare passengers is associated with a different respective one of the plurality of historic ridesharing trips.

4. The rideshare assessment server of claim 1 , wherein the sensor data includes one or more of velocity data, acceleration data, cornering data, and braking data.

5. A computer-implemented method for assessing driving performance, the method comprising:
receiving, by one or more processors, sensor data collected via a plurality of mobile computing devices during each of a series of historic ridesharing trips when rideshare passengers were being driven by a driver, each of the plurality of mobile computing devices being associated with a respective one of the rideshare passengers;
correlating, by the one or more processors, the sensor data to the driver associated with each of the series of historic ridesharing trips,
wherein the sensor data, when correlated to the driver, indicates one or more aspects of vehicle operation during each of the series of historic ridesharing trips when the rideshare passengers were being driven by the driver;
determining, by the one or more processors, an objective driver assessment of the driver based on the sensor data correlated to the driver by at least determining, by the one or more processors, (i) a day driver assessment, and (ii) a night driver assessment based on time periods associated with the series of historic ridesharing trips;
receiving, by the one or more processors, information indicative of a requested scheduled ride with the driver, the information identifying the driver; and
transmitting, by the one or more processors, one of the day driver assessment or the night driver assessment, based upon a time when the information indicative of the requested scheduled ride was received.

6. The computer-implemented method of claim 5 , wherein determining the objective driver assessment further comprises:
determining, by the one or more processors, a subset of the series of historic ridesharing trips that are similar to the scheduled ride based on one or more of (i) an expected distance of the scheduled ride, (ii) a time associated with the start of the scheduled ride, and (iii) an expected duration of the scheduled ride.

7. The computer-implemented method of claim 6 , further comprising:
determining, by the one or more processors, the objective driver assessment based on the subset of the series of historic ridesharing trips.

8. The computer-implemented method of claim 5 , wherein the sensor data includes one or more of velocity data, acceleration data, cornering data, and braking data.

9. The computer-implemented method of claim 5 , wherein determining the objective driver assessment further comprises:
determining, by the one or more processors, a first distance threshold from an origin of the scheduled ride and a second distance threshold from a destination of the scheduled ride;
determining, by the one or more processors, a subset of the series of historic ridesharing trips with at least one of an origin or a destination within the first distance threshold or the second distance threshold, respectively; and
determining, by the one or more processors, the objective driver assessment based on the subset of the series of historic ridesharing trips.

10. The computer-implemented method of claim 5 , further comprising:
determining, by the one or more processors, whether the objective driver assessment satisfies a threshold score; and
in response to the objective driver assessment not satisfying the threshold, transmitting, by the one or more processors, a signal to cancel the scheduled ride.

11. The computer-implemented method of claim 10 , wherein the signal to cancel the ride is received by a computing system associated with a ridesharing provider and causes the requested scheduled ride to be canceled.

12. The computer-implemented method of claim 10 , wherein the signal to cancel the scheduled ride is received by a mobile computing device associated with a user requesting the scheduled ride, and causes the mobile computing device to provide a notification to the user to cancel the scheduled ride.

13. The computer-implemented method of claim 5 , wherein determining the objective driver assessment further comprises:
comparing, by the one or more processors, the acceleration of the vehicle during one or more times during the series of historic ridesharing trips to one or more acceleration thresholds; and
determining, by the one or more processors, the objective driver assessment based on the comparisons.

14. The computer-implemented method of claim 5 , wherein determining the objective driver assessment further comprises:
comparing, by the one or more processors, the velocity of the vehicle during one or more times during the series of historic ridesharing trips to one or more velocity thresholds; and
determining, by the one or more processors, the objective driver assessment based on the comparisons.

15. The computer-implemented method of claim 5 , wherein determining the objective driver assessment further comprises:
determining, by the one or more processors, one or more durations of time associated with when the driver was driving in excess of a posted speed limit during the series of historic ridesharing trips; and
determining, by the one or more processors, the objective driver assessment based on the one or more durations of time.

16. A mobile computing device associat

Assignees

• Blueowl Llc

Inventors

• Li Kaming

Classifications

• H04L67/00

  Network arrangements or protocols for supporting network services or applications (user-to-user messaging H04L51/00; network arrangements, protocols or services for supporting real-time applications in data packet communications networks H04L65/00) · CPC title

• H04L67/535

  Tracking the activity of the user (network monitoring arrangements H04L43/00; recording of computer activity G06F11/34) · CPC title

• H04L67/52

  specially adapted for the location of the user terminal · CPC title

• G08G1/202

  Dispatching vehicles on the basis of a location, e.g. taxi dispatching · CPC title

• G01C21/3492

  employing speed data or traffic data, e.g. real-time or historical (traffic control systems for road vehicles involving transmission of navigation instructions to the vehicle G08G1/0968) · CPC title