IP Library Granted Patent US 10,571,283
Granted Patent B1
US 10,571,283 · App. 15/482,475 · Granted Feb 25, 2020

System for reducing vehicle collisions based on an automated segmented assessment of a collision risk

Inventors: John A. Nepomuceno (Bloomington, IL); Rajiv C. Shah (Bloomington, IL)
Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
G01C21/32B60W40/09G01C21/3461G01C21/3691G01C21/3697G06F3/0481G06Q40/08
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Quick Facts
Patent No.
US 10,571,283
App. No.
15/482,475
Granted
Feb 25, 2020
Kind
B1
Abstract

Systems and methods are disclosed for calculating a risk index for one or more areas (e.g., roads, intersections, bridges, and other transportation infrastructure). For instance, high risk intersections may be identified and mapped from historic auto insurance claim data. High risk intersections may be identified because of an excessive number of vehicle collisions there, and/or an amount and extent of vehicle damage, personal injuries, and/or insurance liability expenses associated with, or resulting from, the vehicle collisions at those locations. Risk indices for various areas may be compared to one another, enabling comparison of the relative riskiness of the areas. In some embodiments, a risk map may be generated to visually depict one or more risk indices for areas within a depicted region. The risk map may be used to quickly identify the riskiest area(s) in the region, and to notify government bodies to facilitate repairs and improve road safety.

Claims (41)

1. A system for reducing vehicle collisions at high risk areas, the system comprising:

a display;

a processor coupled to the display; and

one or more memory devices storing non-transitory computer readable instructions that when executed cause the processor to:

(i) calculate a number of expected collisions for a particular area over a time period;

(ii) determine a number of observed collisions for the particular area over the time period;

(iii) determine a market share factor for the particular area;

(iv) calculate a risk index to facilitate identifying high risk areas, the risk index calculated based on: (i) a comparison between the number of observed collisions and the number of expected collisions for the particular area, and (ii) the market share factor for the particular area; and

(v) display, via the display, a risk map depicting the risk index for the particular area.

2. The system of claim 1 , further comprising a mobile device configured to:

wirelessly receive from the processor the generated risk map; and

display the generated risk map.

3. The system of claim 1 , wherein the risk map includes graphic elements depicting risk indices for a plurality of areas in addition to the particular area.

4. The system of claim 1 , wherein the market share factor accounts for total traffic flow through the particular area.

5. The system of claim 1 , wherein the instructions, when executed, further cause the processor to calculate the number of expected collisions based on historical traffic data for multiple areas, wherein the number of expected collisions corresponds to an average risk for the multiple areas.

6. A computer-implemented method for reducing vehicle collisions at high risk areas, the method comprising:

calculating via one or more processors a risk index, wherein calculating the risk index comprises:

(i) calculating a number of expected collisions for a particular area over a time period;

(ii) determining a number of observed collisions for the particular area over the time period;

(iii) determining a market share factor for the particular area; and

(iv) calculate the risk index based on: (i) a comparison between the number of observed collisions and the number of expected collisions for the particular area, and (ii) the market share factor for the particular area; and

displaying a risk map depicting the risk index for the particular area.

7. The method of claim 6 , wherein calculating the number of expected collisions comprises: calculating the number of expected collisions based upon historical traffic data for the particular area.

8. The method of claim 6 , wherein calculating the number of expected collisions comprises: calculating the number of expected collisions based upon historical traffic data for multiple areas; wherein the number of expected collisions corresponds to an average risk for the multiple areas.

9. The method of claim 6 , wherein calculating the number of expected collisions comprises: calculating a traffic flow for the particular area.

10. The method of claim 6 , wherein calculating the number of expected collisions comprises: adjusting for market penetration; wherein calculating the observed collisions includes limiting the observed collisions to observations involving vehicles within the market corresponding to the market penetration.

11. The method of claim 6 , wherein the risk map includes graphic elements depicting risk indices for a plurality of areas in addition to the particular area.

12. The method of claim 6 , wherein calculating the risk index comprises:

accounting for liability expenses associated with collisions occurring at the particular area.

13. A system comprising:

a means for calculating a number of expected collisions for a particular area over a time period;

a means for observing a number of observed collisions for the particular area over the time period;

a means for determining a market share factor for the particular area; and

a means for calculating the risk index based on: (i) a comparison between the number of observed collisions and the number of expected collisions for the particular area, and (ii) the market share factor for the particular area;

a means for generating a risk map depicting the risk index for the particular area;

a means for displaying the risk map depicting the risk index for the particular area.

14. The system of claim 13 , further including a means for generating a risk map based up on the risk index and for displaying the risk map.

15. The system of claim 14 , wherein the means for generating the risk map comprises: a means for generating graphic elements depicting risk indices for a plurality of areas in addition to the particular area.

16. The system of claim 13 , wherein the means for calculating the number of expected collisions comprises: a means for calculating the number of expected collisions based on historical traffic data for multiple areas, wherein the number of expected collisions corresponds to an average risk for the multiple areas.

17. The system of claim 13 , wherein the means for calculating the number of expected collisions comprises: a means for calculating a traffic flow for the particular area.

18. The system of claim 13 , wherein the means for calculating the risk index comprises: a means for accounting for liability expenses associated with collisions occurring at the particular area.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 10, 2017
From: SHAH, RAJIV C.
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 041940/0048 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 10, 2017
From: NEPOMUCENO, JOHN A.
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 041940/0177 →
Continuity (2)
Provisional Application 62400520 · Sep 27, 2016
Provisional Application 62321005 · Apr 11, 2016