System and method for determining motor vehicle collison risk based on traveled route and displaying determined risk as a map

• US 10,677,605 B2
• Filed: 10/25/2017
• Issued: 06/09/2020
• Est. Priority Date: 10/25/2017
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Dong, Wei Shan, Duan, Ning, Gao, Peng, Li, Kai, Wang, Zhi Hu, Yuan, Ting, Zhang, Xin, Zhao, Shi Wan
• Primary Examiner(s): Hilgendorf, Dale W
• Application Number:
  US15/793,320
• Publication Number:
  US 20190120641A1
• Time in Patent Office: 958 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 21/3492 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
• CPC Class Codes: G01C 21/3667 Display of a road map G01C21/3614 takes precedence; guidance using 3D or perspective road maps G01C21/3635
• CPC Class Codes: G01C 21/3697 Output of additional, non-guidance related information, e.g. low fuel level G01C21/3679 takes precedence
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G08G 1/096888 where input information is obtained using learning systems, e.g. history databases

Abstract

A system for tracking cumulative motor vehicle risk includes a satellite navigation system receiver disposed within a motor vehicle and configured to determine a present location of the motor vehicle. A computer processor receives the determined present location of the motor vehicle from the satellite navigation system receiver and generates a traveled route therefrom. A first computer server receives a plurality of motor vehicle claims records, determines a plurality of motor vehicle accident locations from the plurality of motor vehicle claims records, and generates a motor vehicle accident heat map from the plurality of motor vehicle accident locations. A second computer server determines a cumulative risk exposure of the motor vehicle based on the generated traveled route and the generated motor vehicle accident heat map.

Claims

1. A system for tracking cumulative motor vehicle risk, comprising:

a satellite navigation system receiver disposed within a motor vehicle and configured to determine a present location of the motor vehicle;

a computer processor for receiving the determined present location of the motor vehicle from the satellite navigation system receiver and generating a traveled route therefrom;

a first computer server for receiving a plurality of motor vehicle claims records, determining a plurality of motor vehicle accident locations from the plurality of motor vehicle claims records, and generating a motor vehicle accident heat map from the plurality of motor vehicle accident locations; and

a second computer server for determining a cumulative risk exposure of the motor vehicle based on the generated traveled route and the generated motor vehicle accident heat map,

wherein the first computer server additionally receives map data from a mapping service and uses the received map data to generate the motor vehicle accident heat map by plotting the plurality of motor vehicle accident locations onto the received map data,

wherein the first computer server additionally disambiguates the plurality of motor vehicle accident locations from the plurality of motor vehicle claims records,

wherein disambiguating the motor vehicle accident locations from the plurality of motor vehicle claims records includes performing fuzzy matching on location names within the motor vehicle accident locations from the plurality of motor vehicle claims records to corresponding locations within the map data, and

wherein in performing fuzzy matching, a while list is considered to reward location names that do not share common string sequences but are known to correspond.

2. The system of claim 1, wherein the determined cumulative risk exposure is used to provide usage-based insurance.

3. The system of claim 1, wherein disambiguating the motor vehicle accident location from the plurality of motor vehicle claims records includes resolving a point of interest plus a spatial relationship with a unique location.

4. The system of claim 1, wherein disambiguating the motor vehicle accident location from the plurality of motor vehicle claims records includes resolving two location descriptors to a single unique location.

5. The system of claim 1, wherein in performing fuzzy matching, a black list is considered to penalize location names that share common string sequences but are known to be distinct.

6. The system of claim 1, further including a display device to display the cumulative risk exposure of the motor vehicle.

7. The system of claim 6, wherein the display device is mounted within the motor vehicle.

8. A system for providing route guidance based on calculated motor vehicle collision risk, comprising:

a satellite-based navigation system installed within a motor vehicle for determining a present location, receiving a destination address, and determining a plurality of route candidates for navigating between the present location and the destination address;

a central server for receiving a plurality of motor vehicle claims records, determining a plurality of motor vehicle accident locations from the plurality of motor vehicle claims records, and generating a motor vehicle accident heat map from the plurality of motor vehicle accident locations; and

a computer processor for determining a cumulative risk exposure for each of the plurality of route candidates based on the generated motor vehicle accident heat map and for selecting a desired route from among the plurality of route candidates at least in part based on the determined cumulative risk exposure for each of the plurality of route candidates,

wherein the generating of the motor vehicle accident heat map from the plurality of motor vehicle accident locations includes using map data received from a mapping service and using the received map data to generate the motor vehicle accident heat map by plotting the plurality of motor vehicle accident locations onto the received map data,

wherein the computer processor additionally disambiguates the plurality of motor vehicle accident locations from the plurality of motor vehicle claims records,

wherein disambiguating the motor vehicle accident locations from the plurality of motor vehicle claims records includes performing fuzzy matching on location names within the motor vehicle accident locations from the plurality of motor vehicle claims records to corresponding locations within the map data, and

wherein in performing fuzzy matching, a black list is considered to penalize location B names that share common string sequences but are known to be distinct.

9. The system of claim 8, further comprising, an autonomous vehicle control system for driving the motor vehicle along the selected desired route.

10. The system of claim 8, wherein in performing fuzzy matching, a white list is considered to reward location names that do not share common string sequences but are known to correspond.

11. A method for tracking cumulative motor vehicle risk, comprising:

determining a present location of a motor vehicle;

receiving the determined present location of the motor vehicle and generating a traveled route therefrom;

receiving a plurality of motor vehicle claims records;

determining a plurality of motor vehicle accident locations from the plurality of motor vehicle claims records;

generating a motor vehicle accident heat map from the plurality of motor vehicle accident locations; and

determining a cumulative risk exposure of the motor vehicle based on the generated traveled route and the generated motor vehicle accident heat map,

wherein map data is used to generate the motor vehicle accident heat map by plotting the plurality of motor vehicle accident locations onto the received map data,

wherein the plurality of motor vehicle accident locations is disambiguated from the plurality of motor vehicle claims records,

wherein disambiguating the motor vehicle accident locations from the plurality of motor vehicle claims records includes performing fuzzy matching on location names within the motor vehicle accident locations from the plurality of motor vehicle claims records to corresponding locations within the map data, and

wherein in performing fuzzy matching, a white list is considered to reward location names that do not share common string sequences but are known to correspond and/or a black list is considered to penalize location names that share common string sequences but are known to be distinct.