阅读说明：本技术 用于实时车辆事故管理的区块链和加密货币 (Block chains and cryptocurrency for real-time vehicle accident management ) 是由 A.坤杜 K.韦尔德马里亚姆 C.A.皮科弗 于 2019-05-29 设计创作，主要内容包括：在给定的计算节点处维护数据块的安全链。给定的计算节点是分布式计算节点网络中的一组计算节点的一部分,其中该组计算节点中的每一个都维护数据块的安全链。在每个计算节点处维护的数据块的安全链包括代表与车辆相关联的一个或多个事故相关交易的一个或多个数据块。响应于风险评估操作,一个或多个数据块被添加到在给定的计算节点处维护的数据块的安全链中。(a secure chain of data blocks is maintained at a given compute node. A given compute node is part of a set of compute nodes in a distributed network of compute nodes, where each of the set of compute nodes maintains a secure chain of data blocks. The secure chain of data blocks maintained at each computing node includes one or more data blocks representing one or more accident-related transactions associated with the vehicle. In response to a risk assessment operation, one or more data blocks are added to a security chain of data blocks maintained at a given compute node.)

1. A method, comprising:

Maintaining a secure chain of data chunks at a given computing node, wherein the given computing node is part of a set of computing nodes in a distributed network of computing nodes, wherein each computing node in the set of computing nodes maintains the secure chain of data chunks, wherein the secure chain of data chunks maintained at each computing node includes one or more data chunks representing one or more accident-related transactions associated with a vehicle; and

In response to a risk assessment operation, adding one or more data blocks into a secure chain of the data blocks maintained at the given compute node;

Wherein the maintaining and adding steps are implemented via at least one processor operatively coupled to a memory associated with the given compute node.

2. The method of claim 1, wherein the risk assessment operation is configured to detect a risk level of an accident involving the vehicle.

3. The method of claim 1, wherein the one or more data blocks represent one or more transactions associated with the vehicle, the one or more transactions usable to automatically calculate an accident settlement after an accident involving the vehicle occurs.

4. The method of claim 3, wherein the incident settlement comprises initiating a transfer of cryptocurrency determined to be appropriate given the one or more transactions.

5. the method of claim 3, wherein the incident settlement takes into account cargo in the vehicle.

6. the method of claim 3, wherein the incident settlement is fractionated depending on one or more maintenance activities of the vehicle after the incident.

7. The method of claim 3, wherein the one or more transactions capture one or more vehicle parameters prior to the accident.

8. The method of claim 1, wherein the one or more data blocks are added to a security chain of the data blocks after the one or more data blocks have been verified.

9. The method of claim 1, wherein the one or more data blocks comprise data collected from an electronic counting system comprising a distributed network of incident witness voting/rating modules.

10. The method of claim 9, wherein witness voting/rating modules reside in other vehicles that contribute one or more data blocks to the safety chain of data blocks, and the respective votes/ratings from the modules are aggregated by the electronic counting system.

11. The method of claim 1, wherein the one or more data blocks represent vehicle data relating to one or more of speed, stops, sensors, geographic location, traffic control, weather, road conditions, and surrounding objects.

12. The method of claim 1, wherein one or more data blocks are added more frequently to a security chain of the data blocks as a risk level associated with the risk assessment operation increases.

13. The method of claim 1, wherein the one or more data blocks represent data about the vehicle.

14. The method of claim 1, wherein the one or more data blocks added to the safety chain of data blocks represent data collected by one or more sensors associated with the vehicle.

15. The method of claim 1, wherein the one or more data blocks added to the safety chain of data blocks represent data about an accident involving the vehicle.

16. the method of claim 1, further comprising mining a safety chain of the data blocks for one or more vehicles in proximity to the vehicle, the one or more vehicles behaving in a given manner in one of real-time and in the past for a given spatial region.

17. The method of claim 16, wherein the vicinity is defined by one or more of:

A coverage area adjustable based on a risk level of an impending accident in response to the risk assessment operation; and

A region of interest detected by one or more verification peers via at least one learning algorithm based on one or more historical safety chains of the data block.

18. The method of claim 1, wherein the vehicle is a self-driving vehicle.

19. An apparatus, comprising:

At least one processor; and

A memory operatively coupled to the processor to form a given computing device that is part of a set of computing nodes in a distributed network of computing nodes, wherein each computing node in the set of computing nodes maintains a secure chain of data blocks, the processor and memory configured to:

Maintaining a secure chain of the data blocks at a given computing node, wherein the secure chain of data blocks includes one or more data blocks representing one or more accident-related transactions associated with a vehicle; and

In response to a risk assessment operation, adding one or more data blocks into a secure chain of the data blocks maintained at the given compute node.

20. a computer program product comprising a processor readable storage medium having executable code of one or more software programs encoded therein, wherein the one or more software programs, when executed by the one or more processors, implement the steps of the method of any one of claims 1-18.

21. A computer system comprising:

A processor;

A computer-readable storage medium coupled to the processor, the computer-readable storage medium comprising instructions that when executed by the processor implement the steps of the method of any of claims 1-18.

22. A system comprising means for performing the steps of the method of any one of claims 1-18, respectively.

Background

Self-driving vehicles (SDVs) are vehicles that can be operated without a human driver, such as automobiles. SDVs use techniques such as radar, laser, odometer, global positioning system, and computer vision to determine conditions in their surroundings. One or more control systems in the SDV utilize the environmental information to control the SDV while respecting the associated traffic signals and signs when the SDV autonomously navigates the path and obstacles.

SDV technology may be applied in the context of public and/or shared transportation (e.g., self-driving taxis or other types of shared vehicles). Public or shared SDVs may potentially provide transportation services for a large number of passengers each day.

However, it is recognized that as SDVs become more prevalent, vehicular accidents are still possible, just like any vehicle.

Disclosure of Invention

Drawings

FIG. 1 illustrates a blockchain computing system implementing one or more embodiments of the invention.

FIG. 2 illustrates a computing platform for tracking data associated with a vehicle in the context of a vehicle accident, according to an embodiment of the present invention.

FIG. 3 illustrates a blockchain for tracking data associated with a vehicle in the context of a vehicle accident, in accordance with an embodiment of the present invention.

FIG. 4A illustrates a blockchain method for tracking data associated with a vehicle in the context of a vehicle accident, in accordance with embodiments of the present invention.

Fig. 4B illustrates a blockchain method for adding transaction data to a blockchain in accordance with an embodiment of the present invention.

FIG. 5 illustrates a blockchain method for verifying transaction data according to an embodiment of the invention.

Fig. 6 illustrates a method for providing query services associated with a blockchain in accordance with an embodiment of the present invention.

FIG. 7 depicts a computer system according to which one or more components/steps of the present technology may be implemented, according to an embodiment of the present invention.

FIG. 8 depicts a cloud computing environment according to an embodiment of the present invention.

FIG. 9 depicts abstraction model layers according to an embodiment of the invention.

Embodiments provide techniques for managing accident-related data associated with a vehicle that includes an SDV (e.g., a vehicle not operated by a human driver) and a non-SDV (e.g., a vehicle operated by a human driver)) in the context of a vehicle accident.

In one embodiment, a method includes the following steps. A secure chain of data blocks is maintained at a given compute node. A given compute node is part of a set of compute nodes in a distributed network of compute nodes, where each of the set of compute nodes maintains a secure chain of data blocks. The secure chain of data blocks maintained at each computing node includes one or more data blocks representing one or more accident-related transactions associated with the vehicle. In response to a risk assessment operation, one or more data blocks are added to a security chain of data blocks maintained at a given compute node.

advantageously, the illustrative embodiments provide an efficient technique for tracking data related to a vehicle (such as a non-SDV or SDV) in the context of a vehicle accident. The data may be tracked as part of a blockchain associated with the vehicle.

These and other exemplary embodiments of the present invention will be described in, or will become apparent from, the following detailed description of exemplary embodiments, which is to be read in connection with the accompanying drawings.