Using historical data for subrogation on a distributed ledger
Systems and methods are disclosed with respect to using a blockchain for managing the subrogation claim process related to a vehicle accident, in particular, utilizing historical data related to a vehicle or vehicle collisions as part of the subrogation process. An exemplary embodiment may include receiving historical sensor data, such as image, audio, telematics, and/or autonomous vehicle data, associated with a past vehicle collision; inputting the historical sensor data into a machine learning program to determine data relevant to a past vehicle collision; receiving current sensor data associated with a current vehicle collision; inputting the current sensor data into the machine learning program to determine data relevant to the current vehicle collision; and determining a percentage of fault of the vehicle collision for one or more autonomous vehicles, autonomous vehicle systems, and/or drivers based upon, at least in part, analysis of the historical sensor data and the current sensor data.
1. A computer-implemented method of handling an insurance claim via a shared ledger, the method comprising:
receiving, at one or more processors, historical sensor data associated with a past vehicle collision;
inputting, at the one or more processors, the historical sensor data into an algorithm, the algorithm being a machine learning algorithm that is trained by the historical sensor data to determine a percentage of fault for human drivers or self-driving vehicles;
receiving, at the one or more processors, current sensor data associated with a vehicle collision;
inputting, at the one or more processors, the current sensor data into the machine learning algorithm to determine a percentage of fault of the current vehicle collision for a human driver or a self-driving vehicle;
creating, at the one or more processors, a blockchain for the vehicle collision with one or more links to the sensor data collected, and an indication of the determined percentage of fault determined by the trained machine learning algorithm;
adding, to the blockchain, a first new block including an electronic subrogation demand; and
adding, to the blockchain, a second new block including an indication of accepting or disputing the subrogation demand.
2. The computer-implemented method of claim 1 , further comprising:
receiving, at the one or more processors, an electronic arbitration demand associated with the vehicle collision; and
generating, at the one or more processors, a recommendation based upon, at least in part, analysis of the percentage of fault and the electronic arbitration demand.
3. The computer-implemented method of claim 2 , further comprising:
generating, at the one or more processors, a new block including the recommendation or a link thereto; and
adding, at the one or more processors, the new block to the blockchain.
4. The computer-implemented method of claim 1 , wherein the sensor data is generated by smart infrastructure or by a vehicle not involved in the vehicle collision.
5. The computer-implemented method of claim 1 , wherein the sensor data includes telematics data collected by another vehicle in the vicinity of the vehicle collision.
6. The computer-implemented method of claim 1 , further comprising:
receiving, at the one or more processors, an electronic notification of the vehicle collision generated by the vehicle from analysis of sensor data generated by one or more vehicle-mounted sensors.
7. The computer-implemented method of claim 1 , further comprising:
receiving, at the one or more processors, an electronic notification of the vehicle collision generated by the vehicle from analysis of image data generated by one or more vehicle-mounted sensors or cameras.
8. The computer-implemented method of claim 1 , further comprising:
receiving, at the one or more processors, an electronic notification of the vehicle collision generated by the vehicle from analysis of telematics data generated by one or more vehicle-mounted sensors.
9. The computer-implemented method of claim 1 , further comprising:
receiving, at the one or more processors, an electronic notification of the vehicle collision generated by the vehicle from analysis of sensor data generated by one or more vehicle-mounted sensors, and sensor or other data, such as telematics data, received from the vehicle and one or more nearby vehicles in the vicinity of the vehicle collision location.
10. A computer-implemented method of handling an insurance claim via a shared ledger, the method comprising:
receiving, at one or more processors, historical sensor data associated with a past vehicle collision;
inputting, at the one or more processors, the historical sensor data into an algorithm, the algorithm being a machine learning algorithm that is trained by the historical sensor data to: (i) determine a percentage of fault for human drivers or self-driving vehicles, and (ii) determine data relevant to a past vehicle collision;
receiving, at the one or more processors, current sensor data associated with a current vehicle collision;
inputting, at the one or more processors, the current sensor data into the machine learning algorithm to determine: (i) that a vehicle was under autonomous control before, during, and/or after the current vehicle collision, and (ii) a percentage of fault for the vehicle determined to be under autonomous control;
creating, at the one or more processors, a blockchain for the vehicle collision with one or more links to the sensor data collected, and an indication of the determined percentage of fault for the vehicle determined to be under autonomous control;
adding, to the blockchain, a first new block including an electronic subrogation demand; and
adding, to the blockchain, a second new block including an indication of accepting or disputing the subrogation demand.
11. The computer-implemented method of claim 10 , further comprising:
receiving, at the one or more processors, an electronic arbitration demand associated with the vehicle collision; and
generating, at the one or more processors, a recommendation based upon, at least in part, analysis of the percentage of fault and the electronic arbitration demand.
12. The computer-implemented method of claim 10 , further comprising:
generating, at the one or more processors, a new block including the recommendation or a link thereto; and
adding, at the one or more processors, the new block to the blockchain.
13. The computer-implemented method of claim 10 , wherein the sensor data is generated by smart infrastructure or by a vehicle not involved in the vehicle collision.
14. The computer-implemented method of claim 10 , wherein the sensor data includes telematics data collected by the vehicle, a mobile device traveling within the vehicle, another vehicle in the vicinity of the vehicle collision, or combinations thereof.
15. A computer system for providing data relevant to collisions and subrogation claims by interacting with a distributed ledger maintained by a plurality of participants, the system comprising:
a network interface configured to interface with a processor;
one or more sensors;
a memory configured to store non-transitory computer executable instructions and configured to interface with the processor; and
the processor configured to interface with the memory, wherein the processor is configured to execute the non-transitory computer executable instructions to cause the processor to:
receive historical sensor data associated with a past vehicle collision;
input the historical sensor data into a machine learning algorithm to train the machine learning algorithm to determine a percentage of fault for human drivers or self-driving vehicles;
receive current sensor data associated with a current vehicle collision;
input the current sensor data into the machine learning algorithm to determine a percentage of fault of the current vehicle collision for a human driver or a self-driving vehicle;
create a blockchain for the vehicle collision with one or more links to the sensor data collected, and an indication of the determined percentage of fault determined by the trained machine learning algorithm;
add, to the blockchain, a first new block including an electronic subrogation demand; and
add, to the blockchain, a second new block including an indication of accepting or disputing the subrogation demand.
16. The system of claim 15 , wherein the processor is further configured to execute the non-transitory computer executable instructions to cause the processor to:
receive an electronic arbitration demand associated with the vehicle collision; and
generate a recommendation based upon, at least in part, analysis of the percentage of fault and the electronic arbitration demand.
17. The system of claim 16 , wherein the processor is further configured to execute the non-transitory computer executable instructions to cause the processor to:
generate a new block including the recommendation or a link thereto; and
add the new block to the blockchain.
18. The system of claim 15 , wherein the sensor data is generated by smart infrastructure or by a vehicle not involved in the vehicle collision.
19. The system of claim 15 , wherein the processor is further configured to execute the non-transitory computer executable instructions to cause the processor to:
determine if the second block includes an indication that the subrogation demand is disputed; and
if the second block includes an indication that the subrogation demand is disputed, add, to the blockchain, a third new block including an electronic arbitration demand.
20. The system of claim 15 , wherein:
the electronic subrogation demand is based on the determined percentage of fault, and wherein the electronic subrogation demand includes one or more line items directed to medical expenses; and
the processor is further configured to execute the non-transitory computer executable instructions to cause the processor to add, to the blockchain, a block including a hash of the electronic subrogation demand.