Response control method and device for vehicle-to-everything service, equipment, medium and product

Abstract

The embodiments of the present application disclose a kind of response control method and device, equipment, medium, product of Internet of Vehicles service, can be applied to wisdom traffic, auxiliary driving, cloud technology, artificial intelligence and various scenes.The response control method of the Internet of Vehicles service includes: by real-time detection whether the network quality prediction information of network environment where vehicle is located is updated, and when detecting that the network quality prediction information of network environment where vehicle is located is updated, the response strategy that vehicle should adopt for Internet of Vehicles service is determined, and then it is compared with the response strategy that vehicle actually adopts for Internet of Vehicles service, according to the comparison result, it is determined whether the response strategy actually adopted is switched to the response strategy that should be adopted.The technical scheme of the present application improves the accuracy and rationality of the response control of Internet of Vehicles service, can utilize network resources to the greatest extent, greatly optimizes the response control scheme of Internet of Vehicles service.

Claims

1. A response control method for vehicle-to-everything (V2X) services, characterized in that, The method includes: The system detects whether the network quality prediction information of the network environment in which the vehicle is located has been updated, and obtains the detection results. If the detection result indicates that the network quality prediction information of the network environment in which the vehicle is located has been updated, then the first response strategy of the vehicle for the Internet of Vehicles service is determined based on the updated network quality prediction information. The vehicle's current response strategy for the connected vehicle service is obtained. If the first response strategy does not match the second response strategy, the vehicle's response strategy for the connected vehicle service is switched from the second response strategy to the first response strategy. If the detection result indicates that the network quality prediction information of the network environment in which the vehicle is located has not been updated, then the network indicator prediction value of the vehicle at a specified time carried in the network quality prediction information is obtained. The actual value of the network indicator of the vehicle at the specified time is obtained, and a third response strategy for the vehicle for the Internet of Vehicles service is determined based on the relationship between the predicted value of the network indicator and the actual value of the network indicator. If the third response strategy does not match the second response strategy, the response strategy of the vehicle for the Internet of Vehicles service is switched from the second response strategy to the third response strategy.

2. The method as described in claim 1, characterized in that, The detection results are obtained by checking whether the network quality prediction information of the network environment in which the detection vehicle is located has been updated, including: Obtain the newly generated first network quality prediction information based on the network quality prediction of the network environment in which the vehicle is located; Based on the first network quality prediction information, the detection result is obtained by checking whether the network quality prediction information of the network environment in which the vehicle is located has been updated.

3. The method as described in claim 2, characterized in that, The step of detecting whether the network quality prediction information of the network environment where the vehicle is located has been updated based on the first network quality prediction information, and obtaining the detection result, includes: Obtain second network quality prediction information generated by network quality prediction for the network environment in which the vehicle is located; wherein, the generation time of the second network quality prediction information is earlier than the generation time of the first network quality prediction information, and the second network quality prediction information is the network quality prediction information most adjacent to the generation time of the first network quality prediction information; If the first network quality prediction information fails to match the second network quality prediction information, a detection result is obtained indicating that the network quality prediction information characterizing the network environment in which the vehicle is located has been updated. If the first network quality prediction information and the second network quality prediction information are successfully matched, a detection result is obtained indicating that the network quality prediction information used to characterize the network environment in which the vehicle is located has not been updated.

4. The method as described in claim 2, characterized in that, The step of detecting whether the network quality prediction information of the network environment where the vehicle is located has been updated based on the first network quality prediction information, and obtaining the detection result, includes: Detect whether the first network quality prediction information carries update information; wherein, the update information is used to indicate that the network quality prediction information of the network environment in which the vehicle is located has been updated; If the first network quality prediction information carries the update information, then a detection result is obtained indicating that the network quality prediction information characterizing the network environment in which the vehicle is located has been updated. If the first network quality prediction information does not carry the update information, then a detection result is obtained that the network quality prediction information used to characterize the network environment in which the vehicle is located has not been updated.

5. The method as described in claim 2, characterized in that, The step of obtaining the newly generated first network quality prediction information based on network quality prediction of the network environment in which the vehicle is located includes: Send an acquisition request to the network quality predictor; wherein the acquisition request is used to instruct the network quality predictor to acquire the first network quality prediction information newly generated by the network quality predictor in continuously performing network quality prediction for the network environment in which the vehicle is located. Receive the first network quality prediction information returned by the network quality predictor.

6. The method as described in claim 2, characterized in that, The step of obtaining the newly generated first network quality prediction information based on network quality prediction of the network environment in which the vehicle is located includes: The system receives the first network quality prediction information sent by the network quality predictor; wherein the first network quality prediction information is newly generated by the network quality predictor based on continuous network quality prediction of the network environment in which the vehicle is located.

7. The method as described in claim 1, characterized in that, The vehicle-to-everything (V2X) service is a driving service, the first response strategy is a first driving mode, and the second response strategy is a second driving mode; determining the vehicle's first response strategy for the V2X service based on updated network quality prediction information includes: The vehicle selects a first driving mode for the driving service from a set of candidate driving modes based on the updated network quality prediction information; wherein the set of candidate driving modes includes at least one of autonomous driving mode, remote driving mode, emergency driving mode, and assisted driving mode. The step of switching the vehicle's response strategy for the vehicle-to-everything (V2X) service from the second response strategy to the first response strategy includes: Switch the vehicle's driving mode for the driving service from the second driving mode to the first driving mode.

8. The method as described in claim 1, characterized in that, The vehicle-to-everything (V2X) service is a data transmission service, the first response strategy is a first transmission strategy, and the second response strategy is a second transmission strategy; The step of determining the vehicle's first response strategy for vehicle-to-everything (V2X) services based on the updated network quality prediction information includes: The first transmission strategy for the vehicle to perform the data transmission service is selected from the candidate transmission strategy set based on the updated network quality prediction information; wherein, the candidate transmission strategy set includes at least one of reducing the data push code rate, increasing the data push code rate, reducing the data transmission volume, and increasing the data transmission volume; The step of switching the vehicle's response strategy for the vehicle-to-everything (V2X) service from the second response strategy to the first response strategy includes: The vehicle's transmission strategy for the data transmission service is switched from the second transmission strategy to the first transmission strategy.

9. The method as described in claim 1, characterized in that, The predicted and actual network metric values ​​refer to the same network metric, which includes bandwidth; determining the vehicle's third response strategy for vehicle-to-everything (V2X) services based on the relationship between the predicted and actual network metric values ​​includes: Compare the predicted values ​​of the network indicators with the actual values ​​of the network indicators; If the predicted value of the network indicator is greater than the actual value of the network indicator, then the third response strategy for the vehicle for the Internet of Vehicles service is determined based on the actual value of the network indicator.

10. The method as described in claim 1, characterized in that, The predicted network metric and the actual network metric refer to the same network metric, which includes at least one of latency and packet loss rate; determining the vehicle's third response strategy for vehicle-to-everything (V2X) services based on the relationship between the predicted and actual network metric includes: Compare the predicted values ​​of the network indicators with the actual values ​​of the network indicators; If the predicted value of the network indicator is less than the actual value of the network indicator, then the third response strategy of the vehicle for the Internet of Vehicles service is determined based on the actual value of the network indicator.

11. The method as described in claim 9 or 10, characterized in that, The step of determining the vehicle's third response strategy for vehicle-to-everything (V2X) services based on the actual values ​​of the network metrics includes: Detect the execution status of the vehicle-to-everything (V2X) service; If the execution status indicates that the vehicle-to-everything (V2X) service is experiencing a lag, then the vehicle's third response strategy for the V2X service is determined based on the actual values ​​of the network metrics.

12. A response control device for vehicle networking services, characterized in that, The device includes: The detection module is configured to detect whether the network quality prediction information of the network environment in which the vehicle is located has been updated, and obtain the detection results. The determination module is configured to determine the vehicle's first response strategy for vehicle-to-everything (V2X) services based on the updated network quality prediction information if the detection result indicates that the network quality prediction information of the network environment in which the vehicle is located has been updated. The acquisition module is configured to acquire the second response strategy of the vehicle in response to the Internet of Vehicles service. The switching module is configured to switch the vehicle's response strategy for the Internet of Vehicles service from the second response strategy to the first response strategy if the first response strategy does not match the second response strategy. The acquisition module is further configured to acquire the network indicator prediction value of the vehicle at a specified time carried in the network quality prediction information if the network quality prediction information representing the network environment where the vehicle is located has not been updated by the detection result. The determining module is further configured to obtain the actual value of the network indicator of the vehicle at the specified time, and determine the third response strategy of the vehicle for the Internet of Vehicles service based on the relationship between the predicted value of the network indicator and the actual value of the network indicator. The switching module is further configured to switch the vehicle's response strategy for the Internet of Vehicles service from the second response strategy to the third response strategy if the third response strategy does not match the second response strategy.

13. An electronic device, characterized in that, include: One or more processors; A memory for storing one or more programs, which, when executed by the electronic device, cause the electronic device to implement the response control method for the vehicle-to-everything (V2X) service as described in any one of claims 1 to 11.

14. A computer-readable medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the response control method for the vehicle networking service as described in any one of claims 1 to 11.

15. A computer program product comprising computer instructions, characterized in that, When the computer instructions are executed by the processor, they implement the response control method for the vehicle networking service as described in any one of claims 1 to 11.

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