An edge computing server data processing method and system for vehicle-road collaboration

Abstract

A data processing method and system for an edge computing server in vehicle-road cooperation, comprising the following steps: obtaining vehicle-side data; obtaining road-side data and obtaining potentially risky vehicles according to monitoring thresholds, and then transmitting the road-side data of the potentially risky vehicles to an edge server, and the edge server obtaining vehicle-side data based on the obtained road-side data; the edge server analyzing the obtained data to obtain an emergency treatment plan and providing the emergency treatment plan to the potentially risky vehicles. After a preliminary risk judgment is made through the road-side data in this application, if there is a potential risk, the data is transmitted to the edge server, thereby reducing the data processing volume of the edge server, adapting to the characteristics of local processing of the edge server, and also avoiding calculation delays caused by its small processing calculation volume.

Description

Technical Field

[0001] The present application relates to a method and system for processing edge computing server data for vehicle-road collaboration. Background Art

[0002] As the main form of long-distance travel, highways are prone to major traffic accidents due to objective factors such as high vehicle speeds. With the development of vehicle intelligence, assisted driving and even autonomous driving of vehicles have been put on the agenda. However, in other countries, a large number of car accidents have also occurred due to assisted driving or autonomous driving, resulting in casualties. To further improve the safety of vehicle driving on highways, vehicle-road collaboration has become a necessary development direction, providing basic information for further improving vehicle driving safety. When a car accident may occur, the general golden decision-making time is within 1 second. At this time, the vehicle needs to obtain timely control information to effectively handle the situation, and relying solely on the central server obviously cannot achieve this goal. Summary of the Invention

[0003] To solve the above problems, on the one hand, the present application discloses a method for processing edge server data for vehicle-road collaboration, including the following steps: obtaining vehicle-end data; obtaining road-end data and obtaining potential risk vehicles according to a monitoring threshold, and then transmitting the road-end data of the potential risk vehicles to the edge server, and the edge server obtaining the vehicle-end data according to the obtained road-end data; the edge server analyzing the obtained data to obtain an emergency treatment plan and providing the emergency treatment plan to the potential risk vehicles. After preliminary risk judgment through road-end data, if there is a potential risk, the data is transmitted to the edge server, thereby reducing the data processing volume of the edge server, adapting to the characteristics of in-situ processing of the edge server, and also avoiding calculation delay due to its small processing calculation volume.

[0004] Preferably, the monitoring threshold includes that the vehicle speed exceeds 90% of the specified speed, and the vehicle speed exceeds 60% of the specified speed and the distance between vehicles is less than 30 m.

[0005] Preferably, after receiving the road - end data, the edge server performs static simulation based on the road - end data. Taking the static analysis and prediction time of collisions between vehicles as the evaluation criterion, the data with a dangerous occurrence time lower than the warning threshold is extracted to obtain first - level data, and the vehicle - end data is extracted from the involved vehicles according to the first - level data as the first - level matching data. The edge server of the present application first performs pre - calculation simulation to obtain a prediction scenario, thereby screening out a large number of scenarios that do not require edge computing, further centralizing the vehicle information that may collide. Subsequently, considering the possibility of self - adjustment under limited computing power, the data is corrected for the second time. After the second correction, the calculation simulation is performed again, so as to obtain a screening effect closer to the actual situation, and to provide the accuracy of prediction as much as possible under limited computing power, avoiding a large number of false alarms.

[0006] Preferably, the road - end data includes road basic condition information, the measured vehicle - to - vehicle distance between vehicles, the vehicle - to - roadbed distance between the vehicle and the roadbed, the vehicle driving speed, the lane where the vehicle is located, the central - axis distance between the vehicle central axis and the lane central axis, and the deviation angle of the vehicle central axis from the lane central axis; no more than three items of data in the road - end data are included in the first - level data.

[0007] Preferably, the vehicle - end data includes vehicle driving speed, vehicle predetermined acceleration, and vehicle predetermined driving deviation angle; the first - level matching data includes at least the vehicle predetermined driving deviation angle.

[0008] Preferably, the dangerous occurrence time is evaluated in the following manner:

[0009] After obtaining the road - end data, calculation simulation is performed according to the road - end data while ignoring road guidance, and a prediction scenario of a direct collision occurring within 5 s is obtained;

[0010] The vehicles involved in the prediction scenario are extracted, and combined with the road basic condition information at their locations. If the road basic condition is perfect, for the central - axis distance between the vehicle central axis and the lane central axis and the deviation angle of the vehicle central axis from the lane central axis within the set threshold range, the vehicle position is corrected to the lane central axis, and the deviation angle is set to 0;

[0011] Then, calculation simulation is performed on the corrected road - end data, the data with a dangerous occurrence time lower than the warning threshold is extracted to obtain first - level data, and the vehicle - end data is extracted from the involved vehicles according to the first - level data as the first - level matching data.

[0012] Preferably, the warning threshold is 3 s.

[0013] Preferably, the first-level data is generated as follows: when it is predicted that a vehicle collision occurs and the deviation angle of the vehicle central axis from the lane central axis exceeds 10°, the vehicle distance or the vehicle-road distance, the deviation angle of the vehicle central axis from the lane central axis, and the vehicle driving speed are used as the first-level data, and the vehicle predetermined acceleration and the vehicle predetermined driving deviation angle are used as the first-level matching data;

[0014] When it is predicted that a vehicle collision occurs and the deviation angle of the vehicle central axis from the lane central axis does not exceed 10°, the vehicle distance or the vehicle-road distance and the vehicle driving speed are used as the first-level data, and the vehicle predetermined driving deviation angle is used as the first-level matching data.

[0015] Preferably, the emergency treatment plan is for several vehicles involved in a collision, and their respective emergency treatment plans are transmitted to the corresponding vehicles;

[0016] The emergency treatment plan includes an emergency departure plan for the vehicle ahead and a safe deceleration plan for the vehicle behind. Through data screening, the first-level data and the first-level matching data are obtained in the present application, which can better represent the driving state at that time. Therefore, the emergency treatment plan obtained by analyzing this state through the edge processor can be fed back to the vehicle end as quickly as possible to ensure the availability of the processing result and high processing efficiency.

[0017] On the other hand, a data processing system for an edge computing server for vehicle-road collaboration is also disclosed, including the following modules:

[0018] A vehicle monitoring terminal for obtaining vehicle-end data;

[0019] A road monitoring terminal for obtaining road-end data and obtaining potential risk vehicles according to the monitoring threshold, and then transmitting the road-end data of the potential risk vehicles to the edge server, and the edge server obtains the vehicle-end data according to the obtained road-end data;

[0020] An edge server, after obtaining the road-end data and the vehicle-end data, analyzes to obtain an emergency treatment plan and provides the emergency treatment plan to the potential risk vehicles.

[0021] The present application can bring the following beneficial effects:

[0022] 1. After preliminary risk judgment through the road-end data in the present application, if there is a potential risk, the data is transmitted to the edge server, thereby reducing the data processing volume of the edge server, adapting to the characteristics of local processing of the edge server, and also avoiding calculation delay due to its small processing calculation volume.

[0023] 2. The edge server of this application first performs pre-computation simulation to obtain a predicted scenario, thereby screening out a large number of scenarios that do not require edge computing, further centralizing the vehicle information that may collide, and then, considering the possibility of self-adjustment under limited computing power, making a secondary correction to the data. After the secondary correction, re-performing the computation simulation to obtain a screening effect closer to the actual situation, and providing the accuracy of prediction as much as possible under limited computing power to avoid a large number of false alarms. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The drawings described herein are used to provide a further understanding of this application and form a part of this application. The schematic embodiments of this application and their descriptions are used to explain this application and do not constitute an improper limitation to this application. In the drawings:

[0025] Figure 1 It is a schematic diagram of Embodiment 1;

[0026] Figure 2 It is a schematic diagram of Embodiment 2. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0027] To clearly illustrate the technical features of this solution, the following will elaborate on this application in detail through specific embodiments.

[0028] In the first embodiment, as Figure 1 shown, a method for processing edge server data for vehicle-road collaboration includes the following steps:

[0029] S101 Obtain vehicle-side data;

[0030] S102 Obtain road-side data and obtain potential risk vehicles according to the monitoring threshold, then transfer the road-side data of the potential risk vehicles to the edge server, and the edge server obtains the vehicle-side data according to the obtained road-side data;

[0031] The monitoring threshold includes that the vehicle speed exceeds 90% of the specified speed, and the vehicle speed exceeds 60% of the specified speed and the distance between vehicles is less than 30m.

[0032] S103 The edge server analyzes the obtained data to obtain an emergency handling plan and provides the emergency handling plan to the potential risk vehicles.

[0033] After receiving the road-side data, the edge server performs static simulation according to the road-side data. Taking the static analysis prediction time of collision between vehicles as the evaluation criterion, extract the data with the dangerous occurrence time lower than the warning threshold to obtain the first-level data, and extract the vehicle-side data from the involved vehicles as the first-level matching data according to the first-level data.

[0034] The road-end data includes road basic condition information, the measured vehicle distance between vehicles, the vehicle-road distance between the vehicle and the roadbed, the vehicle driving speed, the lane where the vehicle is located, the central axis distance between the vehicle central axis and the lane central axis, and the deviation angle of the vehicle central axis from the lane central axis; among the primary data, there are no more than three items of data from the road-end data.

[0035] The vehicle-end data includes the vehicle driving speed, the vehicle's predetermined acceleration, and the vehicle's predetermined driving deviation angle; the primary matching data includes at least the vehicle's predetermined driving deviation angle.

[0036] The dangerous occurrence time is evaluated in the following manner:

[0037] After obtaining the road-end data, perform calculation simulation according to the road-end data while ignoring road guidance to obtain a predicted scenario of a direct collision within 5 seconds.

[0038] Extract the vehicles involved in the predicted scenario, and combine the road basic condition information at their locations. If the road basic conditions are perfect, for those with the central axis distance between the vehicle central axis and the lane central axis and the deviation angle of the vehicle central axis from the lane central axis within the set threshold range, correct the vehicle position to the lane central axis and set the deviation angle to 0.

[0039] Then perform calculation simulation on the corrected road-end data, extract the data with the dangerous occurrence time lower than the warning threshold to obtain the primary data, and extract the vehicle-end data from the involved vehicles as the primary matching data according to the primary data.

[0040] The warning threshold is 3 seconds.

[0041] The primary data is generated in the following manner: If, when a vehicle collision is predicted, the deviation angle of the vehicle central axis from the lane central axis exceeds 10°, then use the vehicle distance or vehicle-road distance, the deviation angle of the vehicle central axis from the lane central axis, and the vehicle driving speed as the primary data, and the vehicle's predetermined acceleration and the vehicle's predetermined driving deviation angle as the primary matching data;

[0042] If, when a vehicle collision is predicted, the deviation angle of the vehicle central axis from the lane central axis does not exceed 10°, then use the vehicle distance or vehicle-road distance and the vehicle driving speed as the primary data, and the vehicle's predetermined driving deviation angle as the primary matching data.

[0043] The emergency treatment plan is for several vehicles involved in the collision and transmits their respective emergency treatment plans to the corresponding vehicles;

[0044] The emergency treatment plan includes an emergency departure plan for the vehicle in front and a safe deceleration plan for the vehicle behind.

[0045] In the second embodiment, as Figure 2 shown, a data processing system for an edge computing server in vehicle-road cooperation includes the following modules:

[0046] A vehicle monitoring terminal 201, configured to obtain vehicle-side data;

[0047] A road monitoring terminal 202, configured to obtain road-side data and obtain potentially risky vehicles according to the monitoring threshold, and then transmit the road-side data of the potentially risky vehicles to the edge server, and the edge server obtains the vehicle-side data according to the obtained road-side data;

[0048] An edge server 203, after obtaining the road-side data and the vehicle-side data, analyzes and obtains an emergency treatment plan, and provides the emergency treatment plan to the potentially risky vehicles.

[0049] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A method for processing edge server data in vehicle-road collaboration, characterized in that: It includes the following steps: Obtain vehicle - end data; Obtain road - end data and get potential risk vehicles according to the monitoring threshold, then transmit the road - end data of potential risk vehicles to the edge server, and the edge server obtains vehicle - end data based on the obtained road - end data; The edge server analyzes the obtained data to get an emergency treatment plan and provides the emergency treatment plan to potential risk vehicles; After the edge server receives the road - end data, it conducts static simulation according to the road - end data. Taking the static analysis prediction time of vehicle - to - vehicle collision as the evaluation criterion, it extracts the data with the dangerous occurrence time lower than the warning threshold to obtain first - level data, and extracts vehicle - end data from the involved vehicles according to the first - level data as first - level matching data; The first - level data is generated in the following way: If when predicting a vehicle collision, the deviation angle of the vehicle central axis from the lane central axis exceeds 10°, then the vehicle distance or vehicle - to - road distance, the deviation angle of the vehicle central axis from the lane central axis, and the vehicle driving speed are used as first - level data, and the vehicle predetermined acceleration and the vehicle predetermined driving deviation angle are used as first - level matching data; If when predicting a vehicle collision, the deviation angle of the vehicle central axis from the lane central axis does not exceed 10°, then the vehicle distance or vehicle - to - road distance and the vehicle driving speed are used as first - level data, and the vehicle predetermined driving deviation angle is used as first - level matching data.

2. The edge server data processing method for vehicle-road collaboration according to claim 1, characterized in that: The monitoring threshold includes that the vehicle speed exceeds 90% of the defined speed, and the vehicle speed exceeds 60% of the defined speed and the distance between vehicles is less than 30m.

3. The data processing method of an edge server for vehicle-road collaboration according to claim 1, characterized in that: The road - end data includes road basic condition information, the measured vehicle - to - vehicle distance, the vehicle - to - roadbed vehicle - to - road distance, the vehicle driving speed, the lane where the vehicle is located, the central axis distance between the vehicle central axis and the lane central axis, and the deviation angle of the vehicle central axis from the lane central axis; no more than three items of data in the road - end data are included in the first - level data.

4. The data processing method of an edge server for vehicle-road collaboration according to claim 3, characterized in that: The vehicle - end data includes the vehicle driving speed, the vehicle predetermined acceleration, and the vehicle predetermined driving deviation angle; the first - level matching data includes at least the vehicle predetermined driving deviation angle.

5. A method for processing edge server data for vehicle-road collaboration according to claim 3, characterized in that: The dangerous occurrence time is evaluated in the following way: After obtaining the road - end data, calculate and simulate according to the road - end data by ignoring road guidance to obtain a predicted scenario of direct collision within 5s; Extract the vehicles involved in the predicted scenario, and combine the road basic condition information at their locations. If the road basic condition is perfect, for those with the central axis distance between the vehicle central axis and the lane central axis and the deviation angle of the vehicle central axis from the lane central axis within the set threshold range, correct the vehicle position to the lane central axis and set the deviation angle to 0; Then conduct calculation and simulation on the corrected road - end data, extract the data with the dangerous occurrence time lower than the warning threshold to obtain first - level data, and extract vehicle - end data from the involved vehicles according to the first - level data as first - level matching data.

6. A method for processing edge server data in vehicle-road collaboration according to claim 5, characterized in that: The warning threshold is 3s.

7. A method for processing edge server data in vehicle-road cooperation according to claim 1, characterized in that: The emergency treatment plan is for several vehicles involved in the collision and transmits their respective emergency treatment plans to the corresponding vehicles; The emergency handling plan includes an emergency departure plan for the vehicle ahead and a safety deceleration plan for the vehicle behind.

8. A processing system for implementing the edge server data processing method for vehicle-road cooperation according to any one of claims 1-7, characterized in that: It includes the following modules: A vehicle monitoring terminal, which is used to obtain vehicle terminal data; A road monitoring terminal, which is used to obtain road terminal data, obtain potential risk vehicles according to the monitoring threshold, and then transmit the road terminal data of the potential risk vehicles to the edge server. The edge server obtains the vehicle terminal data based on the obtained road terminal data; An edge server, which, after obtaining the road terminal data and the vehicle terminal data, analyzes and obtains an emergency handling plan, and provides the emergency handling plan to the potential risk vehicles.

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