A method for controlling intelligent connected driving

Abstract

The present application relates to the field of vehicle data processing technology, and in particular to an intelligent networked driving control method and device, the method comprising: when it is detected that the current weather is bad weather, obtaining the weather level of the bad weather and the road category of the road; determining the first maximum driving speed on the road based on the weather level and the road category; obtaining the intersection information and road pothole information on the road, and determining the correction speed based on the intersection information and the road pothole information; obtaining the first arrival position and energy remaining amount of the vehicle; and determining the second maximum driving speed according to the first arrival position and the energy remaining amount; using the correction speed, the first maximum driving speed and the second maximum driving speed to determine the target driving speed, and assisting the vehicle in driving according to the target driving speed. The present application effectively improves the safety of automobile driving.

Description

Technical Field

[0001] The present application relates to the technical field of image data processing, and in particular to an intelligent networked driving control method. Background Art

[0002] With the advancement and development of science and technology, automatic assisted driving has also received more and more attention and is playing an increasingly important role in people's daily travel. The key core of current autonomous driving technology is to make decisions and control by perceiving the environment, that is, to control the driving mode or driving speed of the vehicle by perceiving the environment.

[0003] In the related art, the weather of the current road is identified through image technology, and the speed limit is determined according to the weather of the current road. The speed limit and the actual speed are compared. When the actual speed exceeds the speed limit, the location scene of the target vehicle is obtained, such as being at an intersection, and then the adjustment speed of the vehicle is determined according to the driving scene so as to adjust to the adjustment speed. However, bad weather also affects the driver's driving vision. At this time, adjusting the vehicle speed only according to the location scene may cause the vehicle speed to be still too high, so as to cause a safety accident. It can be seen that the safety of controlling vehicle driving in the related art is poor. Summary of the invention

[0004] In order to improve the safety of vehicle driving, the present invention provides an intelligent networked driving control method.

[0005] In a first aspect, the present application provides an intelligent connected driving control method, which adopts the following technical solution:

[0006] An intelligent connected driving control method, comprising:

[0007] When it is detected that the current weather is severe weather, the meteorological grade of the severe weather and the road category of the road are obtained;

[0008] Determining a first maximum driving speed on the road based on the weather level and the road category;

[0009] Obtaining intersection information and road pothole information of the road, and determining a correction speed based on the intersection information and the road pothole information;

[0010] Acquiring a first arrival position and a remaining amount of energy of the vehicle; and determining a second maximum driving speed according to the first arrival position and the remaining amount of energy;

[0011] A target travel speed is determined using the correction speed, the first maximum travel speed, and the second maximum travel speed, and the vehicle travel is assisted according to the target travel speed.

[0012] In a preferred embodiment of the present application, the intersection information includes: intersection obstacles and the number of intersections; the road pothole information includes: pothole depth and the number of potholes;

[0013] The determining of the correction speed based on the intersection information and the road pothole information includes:

[0014] Determining a correction speed of the intersection information based on the intersection obstacles and the number of intersections;

[0015] determining a correction speed of the road surface pothole information based on the pothole depth and the number of potholes;

[0016] The correction speed is determined according to the correction speed of the intersection information and the correction speed of the road pothole information.

[0017] In a preferred embodiment of the present application, the method may further be configured such that the correction speed of the intersection information is determined based on the intersection obstacle and the number of intersections, including:

[0018] Obtaining the position and type of the obstacle at the intersection;

[0019] Evaluating the complexity of the intersection according to the location and the type of obstacle;

[0020] The correction speed of the intersection information is determined according to the complexity of the intersection and the number of the intersections.

[0021] In a preferred embodiment of the present application, the method further comprises: determining the correction speed of the road surface pothole information based on the pothole depth and the pothole number, comprising:

[0022] Acquiring a shock absorption level of the vehicle, and determining a maximum pit depth corresponding to the shock absorption level according to the shock absorption information and a preset ride comfort level;

[0023] determining a third correction speed according to the maximum pit depth and the pit damage depth;

[0024] Determining a correction coefficient based on the corresponding relationship and the amount of road damage, wherein the corresponding relationship is a corresponding relationship between the amount of road damage and the correction coefficient;

[0025] The third correction speed is corrected based on the correction coefficient to determine a correction speed for the road pothole information.

[0026] In a preferred embodiment, the present application may be further configured as follows: after assisting the vehicle in driving according to the target driving speed, the method further includes:

[0027] Get weather change data after a preset period of time;

[0028] Determining the maximum safe driving time of the vehicle based on the weather change data;

[0029] Determining a second arrival position of the vehicle based on the maximum safe driving time and the target driving speed;

[0030] The second arrival position is matched with a plurality of available parking positions to determine a target available parking position for the vehicle.

[0031] In summary, this application includes the following beneficial technical effects:

[0032] When it is detected that the current weather is inclement, in order to improve the safety of car driving, it is necessary to appropriately reduce the speed of the car. The speed of the car on different roads is also different, so the maximum driving speed is determined according to the severity level and road type; then obtain the intersection information and road pothole information of the road. During driving, intersections are complex and changeable. In order to avoid safety accidents, you should always observe the intersection conditions. When it is in bad weather, the probability of safety accidents is greater; when the flatness of the driving road is poor, the control of the car's driving speed should also be increased. Therefore, a more accurate road correction speed can be obtained based on the intersection information and road pothole information; then obtain the vehicle's first arrival position and remaining energy When the first arrival position of the vehicle is farther away, the remaining energy is less, and when the speed of the car is higher, the fuel consumption is higher. In order to ensure the balance between the fuel consumption of the car, the first arrival position and the remaining energy, it is necessary to further increase the control of the driving speed, and determine the second maximum driving speed according to the first arrival position and the remaining energy, and then determine the first maximum driving speed, the second maximum driving speed and the corrected speed to obtain a more accurate target driving speed, and then assist the vehicle in driving. Compared with the related art, this application combines the external influencing factors and the vehicle's own influencing factors during vehicle driving to obtain a more accurate corrected maximum driving speed, and then assist the vehicle in driving to effectively improve the safety of vehicle driving. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 A flowchart of an intelligent connected driving control method provided in an embodiment of the present application;

[0034] Figure 2 A schematic diagram of an obstacle located at point A provided in an embodiment of the present application;

[0035] Figure 3 A schematic diagram of an obstacle located at point B provided in an embodiment of the present application. DETAILED DESCRIPTION

[0036] The following is combined with Figure 1 To Attachment Figure 3This application is described in further detail.

[0037] After reading this specification, those skilled in the art may make non-creative modifications to this embodiment as needed, but such modifications are protected by patent law as long as they are within the scope of the claims of this application.

[0038] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0039] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0040] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0041] The embodiment of the present application provides an intelligent networked driving control method, which is executed by an on-board electronic device, which is a terminal device. The terminal device can be connected indirectly or directly via wired or wireless communication, and the embodiment of the present application is not limited here. Figure 1 The figure is a flow chart of an intelligent connected driving control method provided by an embodiment of the present application, the method comprising step S1, step S2, step S3, step S4 and step S5, wherein:

[0042] Step S1: When the current weather is detected as bad weather, obtain the bad weather weather level and road information, the road information includes the road type and the image of the road to be traveled

[0043] Specifically, the vehicle-mounted equipment can obtain the weather level of severe weather in real time from the meteorological database. The weather level is used to describe the severity of severe weather. The higher the weather level, the worse the weather. For example, if the current weather is rainy, the weather level can be determined based on the rainfall, and as the rainfall increases, the weather level also increases. The acquisition of road information can be achieved through driving images. An image acquisition device is installed on the front windshield or license plate of the vehicle. The image acquisition device can capture driving images in real time and send them to the electronic device. The electronic device performs image recognition on the captured driving images to determine the road category. In the embodiment of the present application, the road category can be a rural field road or a rural internal road.

[0044] Step S2: Determine a first maximum driving speed on the road based on the weather level and the road category.

[0045] Specifically, the process of determining the first maximum driving speed includes: determining the first maximum driving speed corresponding to the weather level according to the weather level and the corresponding relationship, the above corresponding relationship is the corresponding relationship between the weather level and the maximum driving speed; determining the second maximum driving speed corresponding to the road category according to the road category and the corresponding relationship, the above corresponding relationship is the corresponding relationship between the road category and the maximum driving speed; it can be understood that rural roads are different from urban roads, and rural roads are more complex, so it is necessary to reduce the speed during driving on rural roads. The above corresponding relationships are all pre-set by technicians. Compare the first maximum driving speed corresponding to the weather level and the second maximum driving speed corresponding to the road category, and determine the smaller driving speed as the first maximum driving speed to minimize the occurrence rate of safety accidents and increase control over the vehicle.

[0046] Step S3: Obtain intersection information and road pothole information of the road, and determine the corrected speed of the vehicle based on the intersection information and road pothole information.

[0047] Specifically, the intersection information includes intersection obstacles within a preset road length (pre-set by the technician) and the number of intersections within the preset road length; wherein, the intersection obstacles can be determined by identifying the driving image through an image recognition algorithm, and the embodiment of the present application does not limit the recognition process. The number of intersections can be obtained from the on-board electronic map, and the number of intersections within the preset length. In the embodiment of the present application, the intersection can be a cross intersection, or a T-shaped intersection, etc.; the road pothole information includes: the depth of the pothole and the number of potholes. Furthermore, if there is a vehicle in front of the vehicle during driving, the on-board electronic equipment can determine the distance between the two vehicles based on the driving image. When the distance between the two vehicles is less than the preset distance, the on-board electronic equipment generates a warning signal to remind the vehicle to stay away from the vehicle in front; by determining the distance between the two vehicles and reminding, it can effectively avoid the problem that the distance between the two vehicles is too close and the obstacles cannot be collected in time. It is understandable that, due to the weak supervision of rural roads, the uncontrollability of cars on rural roads is greater in actual driving, and obstacles at intersections will block the driver's line of sight, which increases the probability of safety accidents. In order to better control the vehicle speed, obstacles at different positions at the intersection have different degrees of influence on the driver's line of sight; when there are potholes of different depths on the road surface, the vehicle speed needs to be reasonably controlled to avoid damage to the vehicle. Further, the correction speed is determined based on the intersection information and the road pothole information, including:

[0048] Determine the speed of intersection information correction based on intersection obstacles and the number of intersections;

[0049] Determine the correction speed of road pothole information according to the pothole depth and the number of potholes;

[0050] The correction speed is determined according to the correction speed of the intersection information and the correction speed of the road pothole information.

[0051] Specifically, from the perspective of intersections, obstacles at intersections affect the driver's line of sight. To improve vehicle driving safety, the control of vehicle speed should be strengthened. When a vehicle passes through an intersection, the driver will slow down for safety reasons. When there are too many intersections, multiple braking and deceleration can be avoided by reducing the vehicle speed. Therefore, the correction speed corresponding to the intersection information is determined according to the intersection obstacles and the number of intersections. The specific process of determining the correction speed of intersection information according to intersection obstacles and the number of intersections can refer to the following embodiments. Compared with urban roads, the flatness of rural roads is poor, that is, the depth and number of pits on the road surface will affect the comfort of drivers. In order to further improve the comfort of drivers, it is also necessary to increase the control of vehicle speed. Therefore, it is necessary to determine the correction speed of road pit information according to the depth and number of pits.

[0052] The specific process of determining the correction speed includes: calculating the correction speed sum of the correction speed of the intersection information and the correction speed of the road pothole information, calculating the average correction speed according to the correction speed sum, and determining the average correction speed as the correction speed.

[0053] Based on the above embodiments, the presence of obstacles at intersections will affect the driver's line of sight, and as the number of intersections increases, the speed of the car will be reduced to ensure driving safety. Therefore, a more accurate correction speed of the intersection information can be obtained based on the obstacles at the intersection and the number of intersections. During driving, the driver will reduce the speed when encountering road damage for the sake of their own driving comfort. Therefore, it is necessary to obtain an accurate correction speed of the road surface pothole information based on the depth of the potholes and the number of potholes. The correction speed is then determined based on the accurate correction speed of the intersection information and the accurate correction speed of the road surface pothole information, so as to effectively improve the accuracy of the road correction speed.

[0054] Further, based on the obstacles at the intersection and the number of intersections, determining the correction speed of the intersection information includes:

[0055] Obtain the location and type of obstacles at the intersection;

[0056] Assess the complexity of the intersection based on location and obstacle types;

[0057] Determine the speed of intersection information correction based on the complexity and number of intersections.

[0058] Specifically, the specific process of obtaining the position includes: a three-dimensional coordinate system can be established with any point at the intersection as the origin to determine the position of the obstacle at the intersection. The embodiment of the present application does not limit the specific process of establishing the three-dimensional coordinate system; the type of obstacle can be obtained through an image recognition algorithm.

[0059] The process of evaluating the complexity of an intersection includes: determining the controllability corresponding to the obstacle type according to the obstacle type and the corresponding relationship, the controllability is used to describe the probability of obstacle movement, when the probability of obstacle movement is higher, the controllability of the obstacle is smaller, and determining the first intersection complexity according to the controllability and the first corresponding relationship (the corresponding relationship between the controllability and the intersection complexity).

[0060] After that, the second or third intersection complexity corresponding to the intersection position is determined: when the intersection obstacles are in different positions, they will have different degrees of influence on the driver's vision, such as Figure 2 As shown in the figure, taking the rural internal road as an example, when the obstacle is at position A, the obstacle is connected to the residential wall, which will make the driver's vision more obstructed, and the driver may not be able to respond to the sudden appearance of people or moving objects in time during driving; Figure 3As shown, when the obstacle is at position B, even if there are people or objects that move suddenly, the driver has a certain reaction time due to the distance between the obstacle and the residential wall. It can be seen that when the obstacle is at different positions, the vehicle speed needs to be controlled to different degrees. The complexity of the intersection is determined according to the position of the obstacle at the intersection and the second corresponding relationship. The content of the above-mentioned second corresponding relationship includes: judging whether the position of the obstacle at the intersection is within the preset position range, if so, it is determined as the second intersection complexity, if not, it is determined as the third intersection complexity; in the embodiment of the present application, when the obstacle at the intersection is within the preset position range, the obstacle at the intersection is connected to the residential wall; the value corresponding to the second intersection complexity is higher than the value corresponding to the third intersection complexity, and then the sum of the complexities is calculated, that is, the sum of the complexities = the first intersection complexity + the second intersection complexity, or, the sum of the complexities = the first intersection complexity + the third intersection complexity, as the complexity of the intersection. Based on the complexity of the intersection and the third corresponding relationship (the corresponding relationship between complexity and correction speed), the correction speed corresponding to the complexity of the intersection is determined. In the embodiment of the present application, the higher the complexity of the intersection, the larger the numerical value corresponding to the correction speed; further, when the amount of intersection data is not 1, the maximum correction speed is determined from the correction speeds corresponding to the complexities of all intersections, and the maximum correction speed is determined as the correction speed of the intersection information.

[0061] Based on the above embodiments, obstacles at intersections at different positions have different degrees of influence on the driver's line of sight, and the vehicle needs to be controlled to travel at different speeds according to the different degrees of influence; when the types of obstacles are different, the probability of sudden movement of the obstacles is also different, so the accurate intersection complexity can be obtained according to the position and type of the obstacles at the intersection, and then the correction speed of the intersection information can be obtained according to the accurate intersection complexity and the number of intersections.

[0062] Further, based on the pothole depth and the number of potholes, determining a correction speed of the road pothole information includes:

[0063] Determine the third correction speed according to the pit depth;

[0064] Based on the corresponding relationship and the number of pits, a correction coefficient is determined, wherein the corresponding relationship is a corresponding relationship between the number of pits and the correction coefficient;

[0065] The third correction speed is corrected according to the correction coefficient to determine the correction speed of the road pothole information.

[0066] Specifically, for the same pothole depth, the faster the vehicle travels, the stronger the bumpy feeling of the vehicle and the worse the driving comfort. At this time, emergency braking will be used to reduce the bumpy feeling. Therefore, the vehicle speed can be appropriately reduced to reduce the number of emergency braking and improve driving comfort. The third correction speed can be determined based on the pothole depth and the fourth corresponding relationship (the corresponding relationship between the pothole depth and the vehicle correction speed); in the embodiment of the present application, when the vehicle passes through the pothole at the third correction speed, the bumpy feeling is weak and the vehicle will not brake suddenly; the corresponding relationship between the number of potholes and the correction coefficient is set by the technicians based on their work experience, and then the correction coefficient can be determined; it can be understood that when the number of potholes is greater, the correction coefficient is greater, that is, the correction amplitude of the driving speed is greater; then the correction speed of the road pothole information is obtained according to the calculation formula, and the correction speed of the road pothole information = correction coefficient * third correction speed.

[0067] Step S4: Acquire the first arrival position and the remaining energy of the vehicle, and determine the second corrected speed according to the first arrival position and the remaining energy.

[0068] Specifically, the first arrival position of the vehicle, i.e., the final destination of the vehicle, can be obtained from the on-board map, and the remaining energy can be obtained from the energy display table, where the remaining energy can be the remaining fuel or the remaining electric energy. The process of determining the second corrected speed according to the first arrival position and the remaining energy includes: obtaining the current position, determining the travel distance according to the current position and the first arrival position, determining the energy consumption per unit travel distance according to the travel distance and the remaining energy, and determining the maximum travel speed corresponding to the energy consumption per unit travel distance according to the energy consumption per unit travel distance and the corresponding relationship, i.e., the second maximum travel speed.

[0069] Step S5: using the corrected speed, the first maximum driving speed and the second maximum driving speed, determining a target driving speed, and assisting the vehicle in driving according to the target driving speed.

[0070] Specifically, the difference between (the first maximum driving speed and the first corrected speed) is calculated first, and the difference is compared with the "maximum driving speed corresponding to the energy consumption per unit driving distance (the second maximum driving speed)", and the smaller one is taken as the target driving speed, and then the vehicle is controlled to travel at the target driving speed. It can be understood that in order to avoid the problem that the vehicle cannot travel before driving to the first arrival position, it is necessary to determine the second maximum driving speed according to the first arrival position and the remaining fuel, so that the vehicle can travel at a more reasonable speed when it can reach the first arrival position; and then determine the driving speed of the vehicle during driving according to the number of intersections and obstacles at the intersections during driving, so as to further adjust the speed of the vehicle, so as to avoid multiple adjustments of the speed when the vehicle can drive to the first arrival position. Therefore, the second maximum driving speed is obtained based on the fuel consumption, and then a speed value is obtained based on the difference between the first maximum driving speed and the corrected speed, and the smaller one between the difference and the "maximum driving speed obtained based on the fuel consumption" is taken to ensure that the car can reach the destination anyway.

[0071] Based on the above embodiment, when it is detected that the current weather is inclement weather, in order to improve the safety of automobile driving, it is necessary to appropriately reduce the speed of the automobile. The driving speed of the automobile on different roads is also different, so the maximum driving speed is determined according to the severity level and road type; then the intersection information and road pothole information of the road are obtained. During driving, the intersection is complex and changeable. In order to avoid safety accidents, the intersection situation should be observed at all times, and the probability of safety accidents is greater in inclement weather; when the flatness of the driving road is poor, the control of the automobile driving speed should also be increased, so a more accurate road correction speed can be obtained based on the intersection information and road pothole information; then the first arrival position and energy of the vehicle are obtained. The remaining energy is the amount of energy left. When the first arrival position of the vehicle is farther away, the remaining energy is less, and when the vehicle speed is higher, the fuel consumption is higher. In order to ensure the balance between the vehicle fuel consumption, the first arrival position and the remaining energy, it is necessary to further increase the control of the driving speed, and determine the second maximum driving speed according to the first arrival position and the remaining energy, and then determine the second maximum driving speed according to the first maximum driving speed, the second maximum driving speed and the corrected speed to obtain a more accurate target driving speed, and then assist the vehicle in driving. Compared with the related art, this application combines the external influencing factors during vehicle driving and the vehicle's own influencing factors to obtain a more accurate corrected maximum driving speed, and then assist the vehicle in driving to effectively improve the safety of vehicle driving.

[0072] Furthermore, after assisting the vehicle to travel according to the corrected maximum travel speed, the method further includes:

[0073] Get weather change data after a preset period of time;

[0074] Determine the maximum safe driving time of the vehicle based on weather change data;

[0075] determining a second arrival position of the vehicle based on the maximum safe driving time and the corrected maximum driving speed;

[0076] The second arrival position is matched with a plurality of available parking positions to determine a target available parking position for the vehicle.

[0077] Specifically, the preset duration is pre-set by the technical staff, and may be 20 minutes, 30 minutes or 45 minutes, etc.; if the current weather is raining, the weather change data is the rainfall change; if the current weather is snowing, the weather change data is the snow change. Determining the maximum safe driving time of the vehicle includes: determining the changed weather level according to the weather change data, obtaining the maximum weather level corresponding to the vehicle's drivable condition, if it is raining, the maximum weather level represents the maximum rainfall when the car can drive; and comparing the maximum weather level with the changed weather level. If the changed weather level is greater than the maximum weather level, it indicates that the vehicle cannot continue to drive, and the maximum safe driving time is determined to be the above-mentioned preset duration; if the changed weather level is not greater than the maximum weather level, it indicates that the vehicle can continue to drive, and continue to monitor the weather change data after the next preset duration until the changed weather level is greater than the maximum weather level. Level, the time corresponding to this time is determined as the maximum safe driving time. For example, if the weather is rainy, the current time is 8:00, and the preset duration is 20 minutes, then the rainfall corresponding to 8:20 is monitored. If the rainfall is reduced, and the rainfall level after the change is less than the maximum rainfall level, then the rainfall corresponding to the preset duration of 8:20 is continued to be monitored, that is, the rainfall at 8:40 is monitored. If the rainfall is increased and the rainfall level is greater than the maximum rainfall level, then the maximum safe driving time of the vehicle can be determined to be 40 minutes; or, when the vehicle arrives at the second arrival location, the time difference between the current time and the time when the vehicle arrives at the second arrival location is determined as the maximum safe driving time. The process of determining the second arrival location includes: obtaining the current driving route from the on-board map, determining the maximum driving distance according to the maximum safe driving time and the corrected maximum driving speed, and then mapping the maximum driving distance to the current driving route to determine the location reached in the current driving route, that is, the second arrival location. In an embodiment of the present application, the dockable location can be a hotel, guesthouse, restaurant or gas station. The second arrival position is matched with all the dockable positions, and the dockable position before the second arrival position is determined as the target dockable position; the target dockable position may be one or more. Then, prompt information is generated according to the target dockable position, so as to prompt the driver to find the target dockable point in time to dock before the vehicle cannot drive, and to avoid dangerous driving.

[0078] Based on the above embodiment, weather change data after a preset period of time is obtained. When the weather changes, the vehicle may be unable to continue driving. Therefore, it is necessary to determine the maximum safe driving time based on the weather change data so that the car can be stopped at a safe position in time before it is unable to drive. Therefore, it is necessary to determine the second arrival position of the vehicle based on the maximum safe driving time and the corrected maximum driving speed, and then match the second safe position with multiple dockable positions so that the vehicle can reach a safe position before stopping, effectively improving the safety of vehicle driving.

[0079] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. An intelligent connected driving control method, characterized in that: include: When it is detected that the current weather is severe weather, the meteorological grade of the severe weather and the road category of the road are obtained; Determining a first maximum driving speed on the road based on the weather level and the road category; Obtaining intersection information and road pothole information of the road, and determining a correction speed based on the intersection information and the road pothole information; Obtaining the first arrival position and remaining energy of the vehicle; and determining a second maximum driving speed according to the first arrival position and the remaining energy; determining a target driving speed using the corrected speed, the first maximum driving speed, and the second maximum driving speed, and assisting the vehicle in driving according to the target driving speed; The intersection information includes intersection obstacles within a preset road length and the number of intersections within the preset road length, the road pothole information includes: pothole depth and pothole number, and the correction speed is determined based on the intersection information and the road pothole information, including: Determining a correction speed of the intersection information based on the intersection obstacles and the number of intersections; determining a correction speed of the road surface pothole information based on the pothole depth and the number of potholes; Determining the correction speed according to the correction speed of the intersection information and the correction speed of the road pothole information; Wherein, determining the correction speed of the intersection information based on the intersection obstacles and the number of intersections includes: Obtaining the position and type of the obstacle at the intersection; Evaluating the complexity of the intersection according to the location and the type of obstacle; Determining a correction speed of the intersection information according to the complexity of the intersection and the number of the intersections; The step of evaluating the complexity of the intersection according to the location and obstacle type includes: Determine, according to the obstacle type and the corresponding relationship, a controllability corresponding to the obstacle type, where the controllability is used to describe the probability of the obstacle moving; determine a first intersection complexity according to the controllability and the first corresponding relationship, where the first corresponding relationship is a corresponding relationship between the controllability and the intersection complexity; Determine the intersection complexity corresponding to the position of the intersection obstacle according to the position of the intersection obstacle and the second corresponding relationship, wherein the second corresponding relationship includes: determining whether the position of the intersection obstacle is within a preset position range, if so, determining it as the second intersection complexity, if not, determining it as the third intersection complexity, when the intersection obstacle is within the preset position range, the intersection obstacle is connected to the residential wall; The sum of the first intersection complexity and the intersection complexity corresponding to the intersection obstacle is calculated as the complexity of the intersection.

2. The intelligent connected driving control method according to claim 1, characterized in that: The determining the correction speed of the road surface pothole information based on the pothole depth and the number of potholes includes: determining a third correction speed according to the pit depth; Determining a correction coefficient based on the corresponding relationship and the number of pits, wherein the corresponding relationship is a corresponding relationship between the number of pits and the correction coefficient; The third correction speed is corrected based on the correction coefficient to determine a correction speed for the road pothole information.

3. The intelligent connected driving control method according to claim 1, characterized in that: After assisting the vehicle to travel according to the target travel speed, the method further includes: Get weather change data after a preset period of time; Determining the maximum safe driving time of the vehicle based on the weather change data; Determining a second arrival position of the vehicle based on the maximum safe driving time and the target driving speed; The second arrival position is matched with a plurality of available parking positions to determine a target available parking position for the vehicle.

Images