WO2016164834A4 - Augmenting transport services using driver profiling - Google Patents
Augmenting transport services using driver profiling Download PDFInfo
- Publication number
- WO2016164834A4 WO2016164834A4 PCT/US2016/026799 US2016026799W WO2016164834A4 WO 2016164834 A4 WO2016164834 A4 WO 2016164834A4 US 2016026799 W US2016026799 W US 2016026799W WO 2016164834 A4 WO2016164834 A4 WO 2016164834A4
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- driver
- verification
- processors
- sensor information
- drivers
- Prior art date
Links
- 230000003190 augmentative effect Effects 0.000 title 1
- 238000012795 verification Methods 0.000 claims 37
- 238000000034 method Methods 0.000 claims 23
- 238000004891 communication Methods 0.000 claims 10
- 230000004044 response Effects 0.000 claims 6
- 238000012512 characterization method Methods 0.000 claims 5
- 238000012544 monitoring process Methods 0.000 claims 2
- 238000012790 confirmation Methods 0.000 claims 1
- 238000012545 processing Methods 0.000 claims 1
- 230000000246 remedial effect Effects 0.000 claims 1
Classifications
-
- G06Q50/40—
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06398—Performance of employee with respect to a job function
Abstract
Trip is analyzed from a population of drivers in order to determine one or more indicators of one or more driving styles. The trip data may include sensor information obtained from one or more sensor devices which are present in a vehicle of each driver of the population. A driving style is determined for the driver during a monitored trip by analyzing sensor information obtained from one or more sensor devices of the driver during the trip for at least one of the indicators of the one or more driving styles.
Claims
1. A driver verification system comprising :
a memory to store a verification instruction set;
a processor to use the verification instruction set to:
obtain one or more authentication datums for the driver, the one or more authentication datums providing an identity of the driver;
during a first set of one or more transport service shifts, determine a
driver profile using data provided from a mobile computing device that is associated with the driver, the driver profile being associated with the one or more authentication datum and identifying one or more characteristics of the driver when the driver is on one of transport service shifts;
during a second transport service shift,
(i) monitor, using data obtained from the mobile computing device of the driver, for driver information that is probative of the one or more characteristics;
(ii) make a preliminary verification determination for the driver based at least in part on a comparison of the driver information and the driver profile; and
generate a verification communication for the driver based at least in part on the verification determination, the verification communication specifying one or more verification actions that the driver is to perform to authenticate the driver as to identity.
2. The system of claim 1, wherein the one or more processors use the verification instructions to evaluate a verification response from the driver to authenticate the driver.
3. The system of claim 2, wherein the one or more processors use the verification instructions to control access by the driver to an associated
transportation service when evaluating the verification response results in a determination that the driver is a substitute.
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4. The system of claim 1, wherein the verification communication specifies a verification action that requires the driver to perform one or more of (i) taking a self-picture or video while in a vehicle of operation, (ii) providing a voice sample, or (iii) answering one or more challenge questions.
5. The system of claim 4, wherein the one or more processors use the verification instructions to:
evaluate a verification response from the driver, when evaluating the verification response includes performing one or more of (i) a face recognition on the self-picture or video, or (ii) a voice recognition on the voice sample.
6. The system of claim 5, wherein the verification communication specifies one or more conditions for performance of the verification action, and wherein the one or more processors evaluate the verification response by confirming that one or more conditions have been met.
7. The system of claim 6, wherein the one or more conditions include a geographical location or timing parameter for when the verification action is to be performed, and wherein the one or more processors confirm that the verification action was performed at the geographical location or within a constraint of the timing parameter.
8. The system of claim 1, wherein the one or more processors obtain the one or more authentication datums by (i) obtaining an authentication seed for the driver, and (ii) instructing the driver to perform one or more actions to provide at least one additional authentication datum while the driver is authenticated with the authentication seed.
9. The system of claim 8, wherein the authentication seed includes a government issued identification, and the at least one additional authentication datum includes an image of the driver captured with the government issued identification.
10. The system of claim 9, wherein the at least one additional authentication datum includes a voice sample of the driver recorded when the image of the driver is captured.
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11. The system of claim 1, wherein the one or more processors determine the one or more characteristics of the driver profile to include a set of parameters that quantitatively define a driving style of the driver.
12. The system of claim 11, wherein the one or more processors determine the driver information based on sensor information from at least one of an accelerometer or Global Positioning System (GPS) resource of the mobile computing device of the driver.
13. The system of claim 1, wherein the one or more processors determine the driver information to include one or more of (i) a set of locations where the driver is located during the second transport service shift, or (ii) a route driven by the driver during the second transport service shift.
14. The system of claim 1, wherein the one or more processors make the preliminary verification determination by determining one or more confidence scores which reflect a likelihood that the driver can be authenticated during one or more transport service shifts.
15 The system of claim 14, wherein the one or more processors specify the verification communication at an instance of time that is based at least in part on the one or more confidence scores.
16. The system of claim 15, wherein the one or more processors select the verification action that is to be performed by the driver based on the one or more confidence scores.
17. The system of claim 16, wherein the one or more processors store the one or more confidence scores and revise and update the one or more confidence scores by detecting driver information in each of subsequent transport service shifts.
18. The system of claim 1, wherein the one or more verification actions include one or more of (i) capturing an image of the driver, (ii) capturing a voice file of the driver, and/or (iii) recording a fingerprint or other biometric data of the driver.
19. The system of claim 1, wherein the one or more processors detect the one or more characteristics of the driver to include a communication
identifier that is to be used by the driver during the shift, and wherein the one or more processors detect the driver information by comparing a location of use of the mobile computing device by the driver during the second transport service shift with a location that is known for the mobile computing device of the driver.
20. A method for performing driver verification, the method being implemented by one or more processors and comprising : obtaining one or more authentication datums for the driver;
during a first set of one or more shifts in which the driver provides transport services, determining a driver profile using data provided from a mobile computing device that is associated with the driver, the driver profile being associated with the authentication datum and identifying one or more characteristics of the driver when the driver is on a shift;
during a shift of the driver in which the driver provides transport services,
(i) monitoring, using data obtained from the mobile computing device of the driver, for driver information that is probative of the one or more characteristics;
(ii) making a preliminary verification determination for the driver based at least in part on a comparison of the driver information and the driver profile; and
generating a verification communication for the driver based at least in part on the verification determination, the verification
communication specifying one or more verification actions that the driver is to perform to verify the driver as to identity.
21. A non-transitory computer-readable medium that stores
instructions, which when executed by one or more processors of a computer system, cause the computer system to perform operations that include:
obtaining one or more authentication datums for a driver;
during a first set of one or more shifts in which the driver provides transport services, determining a driver profile using data provided from a mobile computing device that is associated with the driver, the driver profile being associated with the authentication datum and identifying one or more characteristics of the driver when the driver is on a shift;
during a shift of the driver in which the driver provides transport services,
(i) monitoring, using data obtained from the mobile computing device of the driver, for driver information that is probative of the one or more characteristics;
(ii) making a preliminary verification determination for the driver based at least in part on a comparison of the driver information and the driver profile; and
generating a verification communication for the driver based at least in part on the verification determination, the verification
communication specifying one or more verification actions that the driver is to perform to verify the driver as to identity.
22. A method for evaluating a driver of a transport service during a trip, the method being implemented by one or more processors and
comprising :
analyzing trip data from a population of drivers to determine one or more indicators of one or more driving styles, including an aggressive driving style, wherein the trip data includes obtaining sensor information from one or more sensor devices which are present in a vehicle of each driver of the population; and
making a determination of a driving style for the driver during a monitored trip by analyzing sensor information obtained from one or more sensor devices of the driver during the trip for at least one of the indicators of the one or more driving styles.
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23. The method of claim 22, wherein analyzing trip data from the population of drivers includes determining one or more patterns of actions for aggressive driving, and wherein analyzing the sensor information obtained from one or more sensor devices of the driver includes identifying the pattern of actions from the analyzed sensor information.
24. The method of claim 23, further comprising developing a model of aggressive driving based on the one or more patterns, and wherein analyzing the sensor information obtained from one or more sensor devices of the driver includes using the model to determine when the driver is driving aggressively.
25. The method of claim 24, wherein developing the model includes obtaining a confirmation of the determination from input provided or data obtained from by a passenger of the vehicle.
26. The method of claim 25, wherein the input corresponds to a rating provided by the passenger for the driver.
27. The method of claim 24, wherein developing the model is specific to a subset of the population of drivers who drive within a city or geographic region of the driver.
28. The method of claim 22, wherein analyzing trip data from the population of drivers includes processing sensor information from a set of vehicles driven by a subset of drivers in the population just before the subset of drivers are involved in a corresponding accident, and then analyzing the sensor information to identify indicators shared by multiple vehicles just before the respective vehicles are involved in the
corresponding accident.
29. The method of claim 22, wherein analyzing trip data from the population of drivers includes identifying a subset of drivers in the population who have a relevant driving incident which is indicative of aggressive driving, and using sensor data from vehicles driven by the
65
subset of drivers to determine one or more indicators of aggressive driving.
30. The method of claim 22, wherein analyzing trip data includes analyzing sensor information corresponding to one or more of an accelerometer, altimeter, global positioning system (GPS) resource, and/or gyroscope of individual drivers of the population.
31. The method of claim 22, further comprising obtaining the sensor information from a computing device within a vehicle of the driver, the sensor information including sensor information provided by one or more of an accelerometer, altimeter, global positioning system (GPS) resource, and/or gyroscope.
32. The method of claim 31, wherein obtaining sensor information includes communicating with a mobile computing device of either the driver or a passenger of the vehicle to obtain the sensor information.
33. The method of claim 31, wherein obtaining the sensor information includes obtaining the sensor information from an On Board Diagnostic ("OBD") device which is resident in the vehicle.
34. The method of claim 22, further comprising interpreting the sensor information obtained as part of the trip data from the population of drivers as one or more of (i) lane change, (ii) braking event, (iii) traffic light event, (iv) speeding, and/or (v) near collisions.
35. The method of claim 22, further comprising :
in response to determining that the driving style of the driver is aggressive, implementing one or more remedial actions on the driver.
36. A method for analyzing driving, the method being implemented by one or more processors and comprising :
obtaining a set of ground truth data which reflect a first set of indicators indicating an aggressive driving style;
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determining a model for the aggressive driving style;
using the model to determine one or more characterizations of the driving style of individual drivers; and
confirming the one or more characterizations based on information determined about individual drivers or a respective trip of the individual drivers.
37. The method of claim 36, wherein confirming the one or more characterizations includes determining a rating of a passenger of a vehicle.
38. The method of claim 36, wherein the one or more characterizations identify an aggressive driving style, and wherein confirming the one or more characterizations includes confirming the model when one of the individual drivers is involved in a collision.
39. The method of claim 36, wherein the information is determined based on one or more of an accelerometer, altimeter, global positioning system (GPS) resource, and/or gyroscope.
40. The method of claim 36, wherein the ground truth data includes sensor information from vehicles just before the vehicles were in collisions.
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A computer system comprising :
a memory resource which store a set of instructions;
one or more processors which execute the set of instructions to: analyze trip data from a population of drivers to determine one or more indicators of one or more driving styles, including an aggressive driving style, wherein the trip data includes sensor information obtained from one or more sensor devices which are present in a vehicle of each driver of the population; and
determine a driving style for the driver during a monitored trip by analyzing sensor information obtained from one or more sensor devices of the driver during the trip for at least one of the indicators of the one or more driving styles.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2016246064A AU2016246064A1 (en) | 2015-04-10 | 2016-04-08 | Augmenting transport services using driver profiling |
| SG11201708199TA SG11201708199TA (en) | 2015-04-10 | 2016-04-08 | Augmenting transport services using driver profiling |
| CA2981525A CA2981525A1 (en) | 2015-04-10 | 2016-04-08 | Augmenting transport services using driver profiling |
Applications Claiming Priority (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US14/683,961 US20160300242A1 (en) | 2015-04-10 | 2015-04-10 | Driver verification system for transport services |
| US14/683,961 | 2015-04-10 | ||
| US14/819,288 US10204528B2 (en) | 2015-08-05 | 2015-08-05 | Augmenting transport services using driver profiling |
| US14/819,288 | 2015-08-05 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| WO2016164834A1 WO2016164834A1 (en) | 2016-10-13 |
| WO2016164834A4 true WO2016164834A4 (en) | 2016-12-01 |
Family
ID=57073405
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/US2016/026799 WO2016164834A1 (en) | 2015-04-10 | 2016-04-08 | Augmenting transport services using driver profiling |
Country Status (4)
| Country | Link |
|---|---|
| AU (1) | AU2016246064A1 (en) |
| CA (1) | CA2981525A1 (en) |
| SG (1) | SG11201708199TA (en) |
| WO (1) | WO2016164834A1 (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| BE1025039B1 (en) * | 2017-03-06 | 2018-10-11 | Safety Move Besloten Vennootschap Met Beperkte Aansprakelijkheid | Device for monitoring the safety of industrial rolling stock and its operators |
| US11038877B2 (en) | 2018-12-31 | 2021-06-15 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for device fingerprint determination in a transportation service |
| US11080509B2 (en) | 2018-12-31 | 2021-08-03 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for onboard fraud detection in a transportation service |
| WO2020142085A1 (en) * | 2018-12-31 | 2020-07-09 | Didi Research America, Llc | Systems and methods for fraud detecting in a transportation service |
| WO2023101601A1 (en) * | 2021-12-01 | 2023-06-08 | Grabtaxi Holdings Pte. Ltd. | Method and device for authenticating a driver of a vehicle |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9493149B2 (en) * | 2008-07-02 | 2016-11-15 | Michael Phelan | Driver authentication system and method for monitoring and controlling vehicle usage |
| EP2545493A2 (en) * | 2010-03-12 | 2013-01-16 | Logica Private Limited | Multi-purpose intelligent cradle for a vehicle |
| US8924240B2 (en) * | 2011-05-25 | 2014-12-30 | Shailendra Depura | System for monitoring vehicle and operator behavior |
| US20140067434A1 (en) * | 2012-08-30 | 2014-03-06 | Agero, Inc. | Methods and Systems for Providing Risk Profile Analytics |
| US9789788B2 (en) * | 2013-01-18 | 2017-10-17 | Ford Global Technologies, Llc | Method and apparatus for primary driver verification |
-
2016
- 2016-04-08 WO PCT/US2016/026799 patent/WO2016164834A1/en active Application Filing
- 2016-04-08 SG SG11201708199TA patent/SG11201708199TA/en unknown
- 2016-04-08 CA CA2981525A patent/CA2981525A1/en not_active Abandoned
- 2016-04-08 AU AU2016246064A patent/AU2016246064A1/en not_active Abandoned
Also Published As
| Publication number | Publication date |
|---|---|
| SG11201708199TA (en) | 2017-11-29 |
| CA2981525A1 (en) | 2016-10-13 |
| WO2016164834A1 (en) | 2016-10-13 |
| AU2016246064A1 (en) | 2017-10-26 |
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