Driving trip and pattern analysis

• US 10,163,274 B1
• Filed: 08/11/2015
• Issued: 12/25/2018
• Est. Priority Date: 12/19/2012
• Status: Active Grant

• Current Assignee: Arity International Limited (Allstate Corporation)
• Original Assignee: Allstate Insurance Company (Allstate Corporation)
• Inventors: Brinkmann, Margaret A., Kraft, Daniel, Bryer, Nathan M., Huls, Eric, Warden, Thomas Michael
• Primary Examiner(s): Odeh, Nadeem
• Application Number:
  US14/823,029
• Time in Patent Office: 1,232 Days
• Field of Search: 701468, 705 4
• CPC Class Codes: G01S 19/01 Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/02 Registering or indicating driving, working, idle, or waiting time only apparatus forming part of taximeters G07B13/00

Abstract

A driving analysis server may be configured to receive vehicle location data and/or operation data from one or more vehicle systems, identify driving trips and/or driving patterns based on the vehicle data, determine risk assessment values corresponding to the driving trips and driving patterns, and calculate driver scores based on the analyzed driving trip and driving pattern data. Destination locations may be identified for a vehicle'"'"'s driving trips, and information relating to the destination locations may be retrieved and analyzed to determine risk factors and risk assessment values associated with driving to and from the destination, as well as parking at the destination. Specific driving trip types or purposes may be identified, and driving scores may be calculated based on the vehicle location and time data, including the risk factors, risk assessment values, and the determined trip types or purposes.

Claims

1. A driving analysis server comprising:

a processing unit comprising a processor; and

a memory unit storing computer-executable instructions, which when executed by the processing unit, cause the driving analysis server to;

receive, in real-time, vehicle data from a plurality of sensors arranged on a first vehicle, the vehicle data corresponding to at least a first driving trip by the first vehicle;

perform, in real-time, an analysis of the received vehicle data and determine one or more risk assessment values corresponding to the first driving trip, determining the one or more risk assessment values including;

determine whether the received vehicle data associated with the first driving trip corresponds to a driving pattern of a plurality of stored driving patterns associated with the first vehicle, determining whether the received vehicle data corresponds to the driving pattern including;

comparing the received vehicle data to data from a plurality of previous driving trips of the vehicle;

determining whether the received vehicle data matches data from one or more previous driving trips of the first vehicle;

responsive to determining that the vehicle data matches data from one previous driving trip, determining that the received vehicle data does not correspond to the driving pattern; and

responsive to determining that the received vehicle data matches data from more than one previous driving trips of the first vehicle, determining that the received vehicle data corresponds to the driving pattern;

responsive to determining that the received vehicle data does not correspond to the driving pattern, retrieve information associated with a destination of the first driving trip from a location database, retrieving the information associated with the destination of the first driving trip including;

retrieving a property usage associated with the destination; and

retrieving risk assessment values associated with the property usage and the destination of the first driving trip;

responsive to determining that the received vehicle data associated with the first driving trip corresponds to the driving pattern of the stored plurality of driving patterns, retrieve a set of previously stored driving trip characteristics, risk factors, and risk assessment values corresponding to the driving pattern; and

calculate a driver score for the first vehicle or a first driver of the first vehicle, based on at least one of;

the retrieved risk assessment values corresponding to the driving pattern corresponding to the first driving trip and the retrieved risk assessment values associated with the property usage.

2. The driving analysis server of claim 1, wherein the retrieved risk assessment values are based on previous driving trips different from the first driving trip.

3. The driving analysis server of claim 2, wherein the driver score is calculated based on the retrieved risk assessment values of the previous driving trips different from the first driving trip.

4. The driving analysis server of claim 1, wherein determining whether the received vehicle data associated with the first driving trip corresponds to the driving pattern of the plurality of stored driving patterns further includes:

identifying a source location of the first driving trip, a destination location of the first driving trip, and a time of the first driving trip; and

determining whether at least one of the source location of the first driving trip and the destination location of the first driving trip are within a predefined location threshold of a source location and a destination location of the driving pattern corresponding to the first driving trip.

5. The driving analysis server of claim 1, wherein determining whether the received vehicle data associated with the first driving trip corresponds to the driving pattern of the plurality of stored driving patterns further includes:

identifying a source location of the first driving trip, a destination location of the first driving trip, and a time of the first driving trip; and

determining whether the time of the first driving trip is within a predefined time threshold of time of the driving pattern corresponding to the first driving trip.

6. The driving analysis server of claim 1, wherein calculating the driver score for the first vehicle or the first driver of the first vehicle, based on the retrieved risk assessment values corresponding to the driving pattern corresponding to the first driving trip further includes:

receiving current weather data or current traffic data associated with a route of the driving pattern;

calculating a risk assessment value associated with the current weather data or the current traffic data; and

calculating the driver score based on the retrieved risk assessment values corresponding to the driving pattern corresponding to the first driving trip and the calculated risk assessment values for the current weather data or the current traffic data.

7. The driving analysis server of claim 1, wherein calculating the driver score for the first vehicle or the first driver of the first vehicle, based on the retrieved risk assessment values corresponding to the driving pattern corresponding to the first driving trip further includes:

using the vehicle data corresponding to the first driving trip, determining a first parking time corresponding to the first vehicle being parked at a destination of the first driving trip;

calculating a risk assessment value associated with parking the first vehicle at the destination at the first parking time; and

calculating the driver score based on the retrieved risk assessment values corresponding to the driving pattern corresponding to the first driving trip and the calculated risk assessment values for the first vehicle being parked at the destination of the first driving trip.

8. The driving analysis server of claim 1, further including instructions that, when executed, cause the driving analysis server to:

responsive to determining that the received vehicle data associated with the first driving trip corresponds to the driving pattern of the stored plurality of driving patterns and after calculating the driver score for the first vehicle or a first driver of the first vehicle, receive additional current driving trip data;

identify, based on the received additional current driving trip data, one or more driving behavior variations between current driving trip data and the corresponding driving pattern; and

adjust the calculated driver score for the first vehicle or the first driver of the first vehicle based on the one or more driving behavior variations.

9. A driving analysis server comprising:

a processing unit comprising a processor; and

a memory unit storing computer-executable instructions, which when executed by the processing unit, cause the driving analysis server to;

receive, in real-time, vehicle data from a plurality of sensors arranged on a first vehicle, the vehicle data corresponding to at least a first driving trip by the first vehicle;

perform, in real-time, an analysis of the received vehicle data and determine one or more risk assessment values corresponding to the first driving trip, determining the one or more risk assessment values including;

determining a source location of the first driving trip;

determining a destination of the first driving trip, the destination being the destination to which the first vehicle traveled from the determined source location;

determining whether the source location and the destination correspond to a driving pattern of a plurality of driving patterns associated with the first vehicle, determining whether the source location and destination correspond to the driving pattern including;

comparing the source location and destination to data from a plurality of previous driving trips;

determining whether the source location and destination match data from one or more previous driving trips of the first vehicle;

responsive to determining that the source location and destination match data from one previous driving trip, determining that the source location and destination do not correspond to the driving pattern;

responsive to determining that the source location and destination match data from more than one previous driving trips of the first vehicle, determining that the source location and destination correspond to the driving pattern;

responsive to determining that the source location and destination do not correspond to the driving pattern, retrieve information associated with the destination of the first driving trip from a location database, retrieving the information associated with the destination of the first driving trip including;

retrieving a property usage associated with the destination; and

retrieving risk assessment values associated with the property usage and the destination of the first driving trip;

responsive to determining that the source location and the destination correspond to the driving pattern of the plurality of driving patterns, retrieving a set of previously stored driving trip characteristics, risk factors, and risk assessment values corresponding to the driving pattern; and

calculate a driver score for the first vehicle or a first driver of the first vehicle, based on at least one of;

the retrieved risk assessment values corresponding to the driving pattern corresponding to the first driving trip and the retrieved risk assessment values associated with the property usage.

10. The driving analysis server of claim 9, wherein the retrieved risk assessment values are based on previous driving trips different from the first driving trip.

11. The driving analysis server of claim 10, wherein the driver score is calculated based on the retrieved risk assessment values of the previous driving trips different from the first driving trip.

12. The driving analysis server of claim 9, wherein determining whether the source location of the first driving trip and the destination of the first driving drip correspond to the driving pattern of the plurality of stored driving patterns further includes:

determining whether at least one of the source location of the first driving trip and the destination of the first driving trip are within a predefined location threshold of a source and destination of the driving pattern corresponding to the first driving trip.

13. The driving analysis server of claim 9, wherein determining whether the source location of the first driving trip and the destination of the first driving trip correspond to the driving pattern of the plurality of stored driving patterns further includes:

receiving time data for the first trip, the time data being received in the received vehicle data;

determining whether the time data for the first driving trip is within a predefined time threshold of time of the driving pattern corresponding to the first driving trip.

14. The driving analysis server of claim 9, wherein calculating the driver score for the first vehicle or a first driver of the first vehicle, based on the retrieved risk assessment values corresponding to the driving pattern corresponding to the first driving trip further includes:

receiving current weather data or current traffic data associated with a route of the driving pattern;

calculating a risk assessment value associated with the current weather data or the current traffic data; and

calculating the driver score based on the retrieved risk assessment values corresponding to the driving pattern corresponding to the first driving trip and the calculated risk assessment values for the current weather data or the current traffic data.

15. The driving analysis server of claim 9, wherein calculating the driver score for the first vehicle or the first driver of the first vehicle, based on the retrieved risk assessment values corresponding to the driving pattern corresponding to the first driving trip further includes:

using the vehicle data corresponding to the first driving trip, determining a first parking time corresponding to the first vehicle being parked at the destination of the first driving trip;

calculating a risk assessment value associated with parking the first vehicle at the destination at the first parking time; and

calculating the driver score based on the retrieved risk assessment values corresponding to the driving pattern corresponding to the first driving trip and the calculated risk assessment values for the first vehicle being parked at the destination of the first driving trip.

16. A driving analysis system comprising a first vehicle on-board data recording system and a driving analysis server:

wherein the first vehicle on-board data recording system comprises;

one or more vehicle operation sensors configured to record vehicle operation data at the first vehicle;

one or more global positioning system (GPS) devices configured to record location data at the first vehicle; and

one or more telematics devices configured to transmit the vehicle operation data and the location data from the first vehicle to the driving analysis server,

wherein the driving analysis server comprises a processor and a memory unit storing computer-executable instructions, which when executed by the processor, cause the driving analysis server to;

receive, in real-time, vehicle data from the one or more vehicle operation sensors;

receive, in real-time, data from the one or more GPS devices;

perform in real-time, an analysis of the received data from the one or more vehicle sensors and the one or more GPS devices;

determine, based at least in part on the analysis, a source location of the first driving trip;

determine a destination of the first driving trip, the destination being the destination to which the first vehicle traveled from the determined source location;

determine whether the source location and the destination correspond to a driving pattern of a plurality of driving patterns associated with the first vehicle, determining whether the source location and destination correspond to the driving pattern including;

comparing the source location and destination to data from a plurality of previous driving trips;

determining whether the source location and destination match data from one or more previous driving trips of the first vehicle;

responsive to determining that the source location and destination match data from one previous driving trip, determining that the source location and destination do not correspond to the driving pattern;

responsive to determining that the source location and destination match data from more than one previous driving trips of the first vehicle, determining that the source location and destination correspond to the driving pattern;

responsive to determining that the source location and destination do not correspond to the driving pattern, retrieve information associated with the destination of the first driving trip from a location database, retrieving the information associated with the destination of the first driving trip including;

retrieving a property usage associated with the destination; and

retrieving risk assessment values associated with the property usage and the destination of the first driving trip;

responsive to determining that the source location and the destination correspond to the driving pattern of the plurality of driving patterns, retrieve a set of previously stored driving trip characteristics, risk factors, and risk assessment values corresponding to the driving pattern; and

calculate a driver score for the first vehicle or a first driver of the first vehicle, based on at least one of;

the retrieved risk assessment values corresponding to the driving pattern corresponding to the first driving trip and the retrieved risk assessment values associated with the property usage.

17. The driving analysis system of claim 16, wherein the retrieved risk assessment values are based on previous driving trips different from the first driving trip and wherein the driver score is calculated based on the retrieved risk assessment values of the previous driving trips different from the first driving trip.

18. The driving analysis system of claim 16, wherein determining whether the source location of the first driving trip and the destination of the first driving trip correspond to the driving pattern of the plurality of stored driving patterns further includes:

receiving time data for the first trip, the time data being received in the received vehicle data; and

determining whether the time data for the first driving trip is within a predefined time threshold of time of the driving pattern corresponding to the first driving trip.

19. The driving analysis system of claim 16, wherein calculating the driver score for the first vehicle or the first driver of the first vehicle, based on the retrieved risk assessment values corresponding to the driving pattern corresponding to the first driving trip further includes:

receiving current weather data or current traffic data associated with a route of the driving pattern;

calculating a risk assessment value associated with the current weather data or the current traffic data; and

calculating the driver score based on the retrieved risk assessment values corresponding to the driving pattern corresponding to the first driving trip and the calculated risk assessment values for the current weather data or the current traffic data.

20. The driving analysis system of claim 16, wherein calculating the driver score for the first vehicle or the first driver of the first vehicle, based on the retrieved risk assessment values corresponding to the driving pattern corresponding to the first driving trip further includes:

using the vehicle data corresponding to the first driving trip, determining a first parking time corresponding to the first vehicle being parked at the destination of the first driving trip;

calculating a risk assessment value associated with parking the first vehicle at the destination at the first parking time; and

calculating the driver score based on the retrieved risk assessment values corresponding to the driving pattern corresponding to the first driving trip and the calculated risk assessment values for the first vehicle being parked at the destination of the first driving trip.