Road frustration index risk mapping and mitigation

• US 9,851,214 B1
• Filed: 07/11/2017
• Issued: 12/26/2017
• Est. Priority Date: 10/18/2016
• Status: Active Grant

• Current Assignee: Allstate Insurance Company (Allstate Corporation)
• Original Assignee: Allstate Insurance Company (Allstate Corporation)
• Inventors: Chintakindi, Sunil
• Primary Examiner(s): Elchanti, Hussein A.
• Application Number:
  US15/646,833
• Time in Patent Office: 168 Days
• CPC Class Codes: G01C 21/3461 Preferred or disfavoured areas, e.g. dangerous zones, toll or emission zones, intersections, manoeuvre types, segments such as motorways, toll roads, ferries
• CPC Class Codes: G01C 21/3484 Personalized, e.g. from learned user behaviour or user-defined profiles
• CPC Class Codes: G01C 21/3691 Retrieval, searching and output of information related to real-time traffic, weather, or environmental conditions arrangements for giving variable traffic instructions G08G1/09

Abstract

A system for determining a road frustration index value includes a vehicle and a user computing device within the vehicle and a remote computing system, where a telematics system associated with the vehicle senses a speed of the vehicle. The computing device calculates, in near real-time and based on vehicle speed information and the road class of one or more route segments of a travel route, a first frustration level value associated with the driver of the vehicle and identify, based on whether the first frustration level value meets a criterion, an alternate route segment having second frustration level value predicted to be less than the first frustration level value. The remote computing system receives information associated with the first route segment and the alternate route segment and calculates insurance cost based on the road frustration index values associated with a route traveled in the vehicle.

Claims

1. A system comprising:

a vehicle telematics system comprising a sensor sensing a speed of a vehicle;

a computing device comprising;

a processor; and

a non-transitory memory device storing instructions that, when executed by the processor, cause the computing device to;

receive, from the vehicle telematics system, speed information representative of a current vehicle speed;

receive, from a mobile location detection unit, information identifying a road class associated with each of a plurality of route segments upon which the vehicle is travelling;

calculate, in near real-time and based on the speed information and the road class, a first frustration level value associated with a first route segment and a second frustration level value associated with a second route segment, wherein the first frustration level value and the second frustration level value are associated with a driver of the vehicle and wherein the second route segment is an alternate route segment to the first route segment;

output, on a display, a visual representation of the first route segment associated with the first frustration level value and the alternate route segment associated with the second frustration level value; and

communicate, via a network to a remote computing system, information associated with the first route segment and the second route segment, wherein the remote computing system calculates cost information corresponding to insurance coverage for the driver based on road frustration index values associated with a route traveled in the vehicle.

2. The system of claim 1, wherein the mobile location detection unit is one of a mobile location tracking device and a global positioning satellite unit.

3. The system of claim 1, wherein the cost information is one of an insurance premium and/or an insurance incentive.

4. The system of claim 1, the instructions, when executed by the processor, further cause the computing device to:

identify, based on whether the first frustration level value meets a criterion, the alternate route segment having the second frustration level value predicted to be less than the first frustration level value.

5. The system of claim 1, wherein the mobile location detection unit is one of a smartphone, a wrist-mounted computing device, or a mobile computer device.

6. The system of claim 1, wherein the instructions, when executed by the processor, further cause the computing device to:

identify at least two or more alternate route segments having a frustration level less than the first frustration level value; and

communicate, to the driver, at least one of the two or more alternate route segments.

7. The system of claim 1, wherein the road class corresponds to a residential road class.

8. The system of claim 1, wherein the road class corresponds to a non-arterial road class.

9. The system of claim 1, wherein the road class of a first route segment of the plurality of route segments is a non-arterial road class and a second route segment of the plurality of route segments comprises a residential road class.

10. A system comprising:

one or more sensors configured to;

detect sensor information associated with a vehicle;

a first computing device configured to;

receive trip request information indicating a destination of trip to be traveled by the vehicle driven by a driver;

determine a route for the driver to travel in the vehicle based on the trip request information;

receive the sensor information, base map information, vehicle information, driver information, and traffic information, wherein the sensor information comprises attribute information associated with a plurality of route segments;

predict a frustration index value for each route segment of the plurality of route segments forming the route based on the base map information, the vehicle information, the driver information, the sensor information, and the traffic information to obtain a plurality of frustration index values;

generate a frustration index level map based on the plurality of frustration index values scores and the route for display to the driver on a display; and

send, via a communication link to a remote computing device, the plurality of frustration index values scores associated with the route, wherein the remote computing device calculates an insurance cost based on the route.

11. The system of claim 10, further comprising:

a communication interface communicatively coupled to the communication link; and

wherein the first computing device is further configured to;

retrieve, via the communication link, weather information corresponding to the plurality of route segments; and

predict the frustration index value for each of the plurality of route segments using the weather information corresponding to a time at which the vehicle is predicted to be traveling along a particular route segment.

12. A computing device comprising:

a processor; and

a non-transitory memory device storing instructions that, when executed by the processor, cause the computing device to;

receive, from a vehicle telematics device, speed information representative of a current vehicle speed of a vehicle;

receive, from a mobile location detection unit, information identifying a road class associated with each of a plurality of route segments upon which the vehicle is travelling along a route;

calculate, in near real-time and based on the speed information and the road class, a first frustration level value associated with a driver of the vehicle;

identify, based on whether the first frustration level value meets a criterion, an alternate route segment having second frustration level value predicted to be less than the first frustration level value;

generate, a frustration index level map displaying a first route segment associated with the first frustration level value and the alternate route segment having the second frustration level value;

display, on a display device, the frustration index level map to a user; and

send, via a communication link to a remote computing device, a plurality of frustration index value scores associated with the route, wherein the remote computing device calculates an insurance cost based on the route.

13. The computing device of claim 12, wherein the non-transitory memory device stores instructions that, when executed by the processor, cause the computing device to:

receive, from the user, a start location and an end location of a travel route;

calculate, based on historical traffic information and road type information, a plurality of routes between the start location and the end location, wherein each of the plurality of routes includes two or more route segments; and

calculate, based on a road frustration index model, a road frustration index value for each route of the plurality of routes; and

communicate, to the user, an indication of at least one of the plurality of routes and an indication of an associated road frustration index value.

14. The computing device of claim 12, wherein the non-transitory memory device stores instructions that, when executed by the processor, cause the computing device to:

calculate, based upon a road type classification, a road frustration index value for each of the plurality of route segments, wherein the road frustration index value is calculated based on the road frustration index value of the plurality of route segments.

15. The computing device of claim 12, wherein the road class corresponds to a residential road class.

16. The computing device of claim 12, wherein the road class corresponds to a non-arterial road class.

17. The computing device of claim 12, wherein the road class of a first route segment of the plurality of route segments is a non-arterial road class and the road class of a second route segment of the plurality of route segments is a residential road class.

18. The computing device of claim 12, wherein the non-transitory memory device stores instructions that, when executed by the processor, cause the computing device to:

communicate, via a wireless communication link, the first frustration level value and the second frustration level value to a route risk mitigation computing system; and

receive, via the wireless communication link, an indication of a location of one or more risks along each of the plurality of route segments upon which the vehicle is travelling; and

display, to the user, an indication of each of the one or more risks along each of the plurality of route segments upon which the vehicle is travelling.

19. The system of claim 18, wherein at least one of the risks displayed to the user comprises an indication of a predicted road frustration index value corresponding to an associated route segment.

20. The system of claim 18, wherein at least one of the risks displayed to the user comprises an indication of a predicted objective risk or a predicted subjective risk corresponding to an associated route segment.