# US 11,994,400 B2 · Systems and methods for assessment of a rideshare trip > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,994,400 B2 - Document ID: US11994400B2 - Status: Granted - Kind: B2 - Application number: 17/576,293 - Filed: 2022-01-14 - Published: 2022-05-05 - Granted: 2024-05-28 - Earliest claimed: 2017-07-19 - Assignees: Blueowl, LLC - Applicants: BlueOwl, LLC - Inventors: Kaming Li - Web page: https://patentgrep.com/patent/US11994400B2 ## CPC - G01C 21/3438: {Rendezvous; Ride sharing} - G06Q 10/025: {Coordination of plural reservations, e.g. plural trip segments, transportation combined with accommodation} - G06Q 10/047: Optimisation of routes or paths, e.g. travelling salesman problem - G06Q 10/06: Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling - G06Q 10/063112: {Skill-based matching of a person or a group to a task} - G06Q 50/40: Business processes related to the transportation industry (shipping G06Q10/083) - G06Q 50/47: Passenger ride requests, e.g. ride-hailing - G08G 1/202: {Dispatching vehicles on the basis of a location, e.g. taxi dispatching} - H04L 67/00: 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) - H04L 67/12: specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks - H04L 67/52: specially adapted for the location of the user terminal - H04L 67/535: {Tracking the activity of the user (network monitoring arrangements H04L43/00; recording of computer activity G06F11/34)} - H04W 4/027: {using movement velocity, acceleration information} - G01C 21/3484: {Personalized, e.g. from learned user behaviour or user-defined profiles} - G01C 21/3492: {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)} - H04W 4/40: for vehicles, e.g. vehicle-to-pedestrians [V2P] - G01C: MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY (measuring liquid level G01F; radio navigation, determining distance or velocity by use of propagation effects, e.g. Doppler effects, propagation time, of radio waves, analogous arrangements using other waves G01S) - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - G08G: TRAFFIC CONTROL SYSTEMS (guiding railway traffic, ensuring the safety of railway traffic B61L; arrangement of road signs or traffic signals E01F9/00; radar or analogous systems, sonar systems, lidar systems specially adapted for traffic control G01S13/91, G01S15/88, G01S17/88; {radar or analogous systems, sonar systems, lidar systems specially adapted for anti-collision purposes G01S13/93, G01S15/93, G01S17/93}) - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) ## 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. ## Claims ### Claim 1 A rideshare assessment system, comprising: a communication unit configured to receive sensor data collected, from a plurality of mobile computing devices associated with a plurality of rideshare passengers, during a plurality of ridesharing trips driven by a driver; and a processor coupled to the communication unit and configured to: determine a first driver assessment corresponding to the driver based at least in part upon the sensor data, the first driver assessment indicating one or more aspects of vehicle operation during one or more ridesharing trips driven during a first predetermined time period; and determine a second driver assessment corresponding to the driver based at least in part upon the sensor data, the second driver assessment indicating one or more aspects of vehicle operation during one or more ridesharing trips driven during a second predetermined time period, the second predetermined time period being different from the first predetermined time period; wherein the communication unit is further configured to: receive information indicative of a scheduled ride with the driver, the information identifying a start time of the scheduled ride; transmit the first driver assessment if the start time is within the first predetermined time period; and transmit the second driver assessment if the start time is within the second predetermined time period. ### Claim 2 (depends on 1) The rideshare assessment system of claim 1, wherein each ridesharing trip of the plurality of ridesharing trips is requested by a rideshare passenger of the plurality of rideshare passengers via a mobile computing device of the plurality of mobile computing devices, the each ridesharing trip having been transmitted to an external computing device associated with a ridesharing provider. ### Claim 3 (depends on 1) The rideshare assessment system of claim 1, wherein the sensor data includes at least one selected from a group consisting of velocity data, acceleration data, cornering data, and braking data. ### Claim 4 A computer-implemented method for assessing ridesharing driving performance, the method comprising: receiving sensor data collected, from a plurality of mobile computing devices associated with a plurality of rideshare passengers, during a plurality of ridesharing trips driven by a driver; determining a first driver assessment corresponding to the driver based at least in part upon the sensor data, the first driver assessment indicates one or more aspects of vehicle operation of a vehicle during one or more first ridesharing trips driven during a first predetermined time period; determining a second driver assessment corresponding to the driver based at least in part upon the sensor data, the second driver assessment indicates one or more aspects of vehicle operation of the vehicle during one or more second ridesharing trips driven during a second predetermined time period, the second predetermined time period being different from the first predetermined time period; receiving information indicative of a scheduled ride with the driver, the information identifying a start time of the scheduled ride; and transmitting the first driver assessment or the second driver assessment based on the start time of the scheduled ride. ### Claim 5 (depends on 4) The computer-implemented method of claim 4, wherein the sensor data includes at least one selected from a group consisting of velocity data, acceleration data, cornering data, and braking data. ### Claim 6 (depends on 4) The computer-implemented method of claim 4, further comprising: updating at least one of the first driver assessment or the second driver assessment based at least in part upon a subset of the plurality of ridesharing trips similar to the scheduled ride in at least one of: an expected distance of the scheduled ride, a time associated with a start of the scheduled ride, or an expected duration of the scheduled ride. ### Claim 7 (depends on 4) The computer-implemented method of claim 4, further comprising: determining a first distance threshold from an origin of the scheduled ride and a second distance threshold from a destination of the scheduled ride; determining a subset of the plurality of ridesharing trips with at least one of an origin within the first distance threshold or a destination within the second distance threshold; and updating at least one of the first driver assessment and the second driver assessment based at least in part upon the subset of the plurality of ridesharing trips. ### Claim 8 (depends on 4) The computer-implemented method of claim 4, further comprising: determining whether one of the first driver assessment and the second driver assessment satisfies a threshold score; and transmitting, in response to one of the first driver assessment and the second driver assessment not satisfying the threshold score, a ride cancellation signal. ### Claim 9 (depends on 8) The computer-implemented method of claim 8, wherein the transmitting the ride cancellation signal includes transmitting the ride cancellation signal to a computing system associated with a ridesharing provider for causing the scheduled ride to be canceled. ### Claim 10 (depends on 9) The computer-implemented method of claim 9, wherein the transmitting the ride cancellation signal includes transmitting the ride cancellation signal to a mobile computing device associated with a user requesting the scheduled ride for causing the mobile computing device to provide a notification to the user to cancel the scheduled ride. ### Claim 11 (depends on 4) The computer-implemented method of claim 4, wherein the determining the first driver assessment includes: comparing acceleration data of the vehicle during the plurality of ridesharing trips to one or more acceleration thresholds to generate a comparison; and determining the first driver assessment based at least in part on the comparison. ### Claim 12 (depends on 4) The computer-implemented method of claim 4, wherein the determining the second driver assessment includes: comparing acceleration data of the vehicle during the plurality of ridesharing trips to one or more acceleration thresholds to generate a comparison; and determining the second driver assessment based at least in part on the comparison. ### Claim 13 (depends on 4) The computer-implemented method of claim 4, wherein the determining the first driver assessment includes: comparing velocity data of the vehicle during the plurality of ridesharing trips to one or more velocity thresholds to generate a comparison; and determining the first driver assessment based at least in part on the comparison. ### Claim 14 (depends on 4) The computer-implemented method of claim 4, wherein the determining the second driver assessment includes: comparing velocity data of the vehicle during the plurality of ridesharing trips to one or more velocity thresholds to generate a comparison; and determining the second driver assessment based at least in part on the comparison. ### Claim 15 (depends on 4) The computer-implemented method of claim 4, wherein the determining the first driver assessment includes: determining one or more durations of time associated with when the driver was driving in excess of a posted speed limit during the plurality of ridesharing trips; and determining the first driver assessment based at least in part on the one or more durations of time. ### Claim 16 (depends on 4) The computer-implemented method of claim 4, wherein the determining the second driver assessment includes: determining one or more durations of time associated with when the driver was driving in excess of a posted speed limit during the plurality of ridesharing trips; and determining the second driver assessment based at least in part on the one or more durations of time. ### Claim 17 A computer-implemented method for assessing ridesharing driving performance, the method comprising: receiving sensor data collected, from a plurality of mobile computing devices associated with a plurality of rideshare passengers, during a plurality of ridesharing trips driven by a driver; determining a plurality of driver assessments corresponding to the driver based at least in part upon the sensor data, each driver assessment of the plurality of driver assessments indicates one or more aspects of vehicle operation during one or more ridesharing trips driven during a respective predetermined time period; receiving information indicative of a scheduled ride with the driver, the information identifying a start time of the scheduled ride; and transmitting one of the plurality of driver assessments based on the start time of the scheduled ride. ### Claim 18 (depends on 17) The computer-implemented method of claim 17, wherein the sensor data includes at least one selected from a group consisting of velocity data, acceleration data, cornering data, and braking data. ### Claim 19 (depends on 17) The computer-implemented method of claim 17, further comprising: updating a driver assessment of the plurality of driver assessments based at least in part upon a subset of the plurality of ridesharing trips similar to the scheduled ride in at least one selected from a group consisting of: an expected distance of the scheduled ride, a time associated with the start time of the scheduled ride, and an expected duration of the scheduled ride. ### Claim 20 (depends on 17) The computer-implemented method of claim 17, further comprising: determining a first distance threshold from an origin of the scheduled ride and a second distance threshold from a destination of the scheduled ride; determining a subset of the plurality of ridesharing trips with at least one of an origin within the first distance threshold or a destination within the second distance threshold; and updating a driver assessment of the plurality of driver assessments based at least in part upon the subset of the plurality of ridesharing trips. ### Claim 21 (depends on 17) The computer-implemented method of claim 17, further comprising: determining whether a driver assessment of the plurality of driver assessments satisfies a threshold score; and transmitting, in response to the driver assessment not satisfying the threshold score, a ride cancellation signal. ### Claim 22 A computer-implemented method for assessing ridesharing driving performance, the method comprising: receiving sensor data collected, from a plurality of mobile computing devices associated with a plurality of rideshare passengers, during a plurality of ridesharing trips driven by a driver; determining a plurality of driver assessments corresponding to the driver based at least in part upon the sensor data, each driver assessment of the plurality of driver assessments indicates one or more aspects of vehicle operation during one or more ridesharing trips driven during a respective predetermined time period; receiving information indicative of a scheduled ride with the driver, the information identifying a time of the scheduled ride; and transmitting one of the plurality of driver assessments based on the time of the scheduled ride. ### Claim 23 (depends on 22) The computer-implemented method of claim 22, wherein the sensor data includes at least one selected from a group consisting of velocity data, acceleration data, cornering data, and braking data. ### Claim 24 (depends on 22) The computer-implemented method of claim 22, further comprising: updating a driver assessment of the plurality of driver assessments based at least in part upon a subset of the plurality of ridesharing trips similar to the scheduled ride in at least one selected from a group consisting of: an expected distance of the scheduled ride, a time associated with the time of the scheduled ride, and an expected duration of the scheduled ride. ### Claim 25 (depends on 22) The computer-implemented method of claim 22, further comprising: determining a first distance threshold from an origin of the scheduled ride and a second distance threshold from a destination of the scheduled ride; determining a subset of the plurality of ridesharing trips with at least one of an origin within the first distance threshold or a destination within the second distance threshold; and updating a driver assessment of the plurality of driver assessments based at least in part upon the subset of the plurality of ridesharing trips. ### Claim 26 (depends on 22) The computer-implemented method of claim 22, further comprising: determining whether a driver assessment of the plurality of driver assessments satisfies a threshold score; and transmitting, in response to the driver assessment not satisfying the threshold score, a ride cancellation signal.