Parking space guiding method and device based on historical parking behaviors, equipment and medium

By dividing the parking lot into multiple parking sub-areas and determining the vehicle's parking preference priority based on historical parking information, the problem of failing to consider the driver's parking preference in the existing technology is solved, and efficient parking space recommendation is achieved.

CN119323899APending Publication Date: 2025-01-17XIAMEN KETUO COMM TECH HLDG CO LTD
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Patent Information

Application Number
CN202411446992.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-16
Publication Date
2025-01-17

AI Technical Summary

Technical Problem

The existing parking lot guidance method fails to take into account the driver's parking preferences, resulting in the recommended parking spaces not meeting the driver's preferences and affecting parking efficiency.

Method used

By obtaining the parking lot layout information and division rules, the parking lot is divided into multiple parking sub-areas, the target vehicle's parking preference priority is determined based on the historical parking information, and the optimal parking space information is generated for guidance.

Benefits of technology

It realizes the recommendation of parking spaces according to the driver's parking preferences, improves the parking efficiency, and enables the driver to quickly find a satisfactory parking space.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a historical parking behavior-based parking space guiding method, device and equipment and a medium, and the method comprises the steps: dividing a parking region into a plurality of parking sub-regions, enabling each parking sub-region to correspond to different parking preferences of a user, obtaining a corresponding parking preference priority according to the historical parking information of a target vehicle, and enabling the parking preferences of the target vehicle to correspond to the parking preferences of the user; and obtaining parking space information corresponding to the optimal unoccupied parking sub-area according to the parking preference priority, so as to guide the parking space of the target vehicle according to the parking space information. Therefore, according to different parking preferences of different vehicle drivers, parking spaces conforming to the parking preferences of the vehicle drivers can be recommended to the vehicle drivers, so that the drivers can quickly find satisfactory parking spaces for parking.
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Description

Technical Field

[0001] The present application relates to the technical field of parking management, and in particular to a parking guidance method, device, equipment and medium based on historical parking behavior. Background Art

[0002] In the related art, parking lots mainly use guidance display devices to guide users to complete parking. In the existing parking lot guidance method, only the guidance path optimization of vacant parking spaces is considered. However, different drivers have different parking preferences. For example, some drivers like to park their vehicles in parking spaces close to the elevator entrance, while some drivers like to park their vehicles in parking spaces against the wall on one side. Therefore, failure to consider user preferences will result in the parking spaces recommended by the parking lot management system not meeting the parking preferences of the vehicle drivers. Summary of the invention

[0003] The present application aims to solve at least one of the technical problems in the above-mentioned technology to a certain extent. To this end, one purpose of the present application is to propose a parking guidance method based on historical parking behavior, which can recommend parking spaces that meet the parking preferences of different vehicle drivers according to their different parking preferences, so that the driver can quickly find a satisfactory parking space for parking.

[0004] To achieve the above-mentioned objectives, the first aspect of the present application proposes a parking guidance method based on historical parking behavior, including the following steps: obtaining parking lot layout information and division rules; dividing the parking area in the parking lot according to the parking lot layout information and division rules to obtain multiple parking sub-areas; obtaining vehicle information of a target vehicle to determine the parking preference priority status of the target vehicle according to the vehicle information; when the parking preference priority status of the target vehicle is that there is a parking preference priority, obtaining the parking preference priority corresponding to the target vehicle; obtaining parking space information in all parking sub-areas to generate optimal parking space information according to the remaining parking space information in the parking space information and the parking preference priority corresponding to the target vehicle, so as to guide the target vehicle to a parking space according to the optimal parking space information.

[0005] According to the above-mentioned technical means, the embodiment of the present application divides the parking area into multiple parking sub-areas, so that each parking sub-area corresponds to the different parking preferences of users, and obtains the corresponding parking preference priority level according to the historical parking information of the target vehicle, so as to obtain the parking space information corresponding to the optimal vacant parking sub-area according to the parking preference priority level, so as to recommend parking spaces that meet the parking preferences of vehicle drivers according to the different parking preferences of different vehicle drivers, so that the drivers can quickly find a satisfactory parking space for parking.

[0006] In addition, the parking guidance method based on historical parking behavior proposed in the above embodiment of the present application may also have the following additional technical features:

[0007] Furthermore, the parking area in the parking lot is divided according to the parking lot layout information and the division rules to obtain a plurality of parking sub-areas, including: obtaining the distance between the number of parking spaces; taking the target location in the parking lot layout information as the center, dividing the parking spaces within the distance between the number of parking spaces around it into the same parking area to obtain a plurality of parking sub-areas, wherein the target location includes an elevator area, a corridor area, an entrance area and an exit area.

[0008] Furthermore, obtaining the parking preference priority corresponding to the target vehicle includes: obtaining historical parking information corresponding to the target vehicle; analyzing the historical parking information to obtain the number of parking times corresponding to each parking sub-area; and prioritizing the multiple parking sub-areas according to the number of parking times corresponding to each parking sub-area to obtain the parking preference priority corresponding to the target vehicle according to the sorting result.

[0009] Furthermore, if the number of parking times corresponding to a parking sub-area is greater, the corresponding priority is higher; if the number of parking times corresponding to a parking sub-area is smaller, the corresponding priority is lower.

[0010] Furthermore, when the parking state of the target vehicle is that there is no parking preference priority, the corresponding parking space information is displayed to the target vehicle according to a preset guidance rule, so as to guide the target vehicle to a parking space according to the corresponding parking space information.

[0011] Furthermore, the optimal parking space information includes one or more parking spaces. If there is only one parking space, the parking space is recommended to the target vehicle through a guidance display device to guide the target vehicle to park; if there are multiple parking spaces, one parking space is randomly selected from the multiple parking spaces, and the parking space is recommended to the target vehicle through a guidance display device to guide the target vehicle to park.

[0012] Furthermore, when the target vehicle is parked in a parking space, current parking information corresponding to the target vehicle is acquired, and the parking preference priority corresponding to the target vehicle is updated according to the current parking information.

[0013] According to the above technical means, the present application can update the parking preference priority of each vehicle in real time. After the target vehicle subsequently enters a different parking lot, the parking lot server can recommend a parking space based on the target vehicle's historical parking preference priority, thereby further improving the speed of parking space recommendation.

[0014] The second aspect of the present application provides a parking guidance device based on historical parking behavior, including: a first acquisition module, used to acquire parking lot layout information and division rules; a division module, used to divide the parking area in the parking lot according to the parking lot layout information and division rules to obtain multiple parking sub-areas; a second acquisition module, used to acquire vehicle information of a target vehicle, so as to determine the parking preference priority status of the target vehicle according to the vehicle information; a third acquisition module, used to acquire the parking preference priority corresponding to the target vehicle when the parking preference priority status of the target vehicle is that there is a parking preference priority; a parking guidance module, used to acquire parking space information in all parking sub-areas, so as to generate optimal parking space information according to the remaining parking space information in the parking space information and the parking preference priority corresponding to the target vehicle, so as to guide the target vehicle to a parking space according to the optimal parking space information.

[0015] The third aspect of the present application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the parking guidance method based on historical parking behavior as described in the above embodiment.

[0016] The fourth aspect of the present application provides a computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable the computer to execute the parking guidance method based on historical parking behavior as described in the above embodiment.

[0017] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 Schematic diagram of a process of a parking guidance method based on historical parking behavior according to an embodiment of the present application;

[0019] Figure 2 is a block diagram of a parking space guidance device based on historical parking behavior according to an embodiment of the present application;

[0020] Figure 3 is an exemplary diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0021] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0022] In order to better understand the above technical solution, exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present application and to fully convey the scope of the present application to those skilled in the art.

[0023] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0024] See also Figure 1 , Figure 1 FIG. 1 is a flow chart of a parking guidance method based on historical parking behavior according to an embodiment of the present application. Figure 1 As shown, the parking guidance method based on historical parking behavior includes the following steps:

[0025] S101, obtaining parking lot layout information and division rules.

[0026] It should be noted that the parking lot layout information may include parking space information and target location information, which can be obtained by importing the parking lot server into the form of a parking space distribution map or CAD drawing, among which the parking space information may include parking space location information and parking space equipment information.

[0027] S102: Divide the parking area in the parking lot according to the parking lot layout information and the division rule to obtain a plurality of parking sub-areas.

[0028] It should be noted that there are many ways to divide the parking area in the parking lot according to the parking lot layout information and division rules.

[0029] As an embodiment, the distance between the number of parking spaces is obtained; the parking spaces within the distance between the number of parking spaces and the target location in the parking lot layout information are divided into the same parking area, so as to obtain a plurality of parking sub-areas.

[0030] Among them, the target location may include an elevator area, a corridor area, an entrance area and an exit area according to actual needs, and this application does not make any specific limitations on this.

[0031] As another specific embodiment, the multiple parking sub-areas after division include Area A, Area B and Area C, wherein Area A is a circular or rectangular area centered on the elevator area, corridor area or exit area, and surrounded by 8 (threshold, settable) parking spaces; Area C is a circular or rectangular area centered on the entrance area, and surrounded by 8 parking spaces; Area B is other areas except Area A and Area C; therefore, each parking lot will be registered and divided into Area A, Area B and Area C according to the distance from the parking space to the target location or the number of parking spaces.

[0032] S103, acquiring vehicle information of the target vehicle to determine a parking preference priority state of the target vehicle according to the vehicle information.

[0033] It should be noted that the vehicle information includes the license plate number information of the target vehicle. The parking preference priority status of the target vehicle is determined from the cloud server through the license plate number information. Among them, the parking preference priority status can be used to determine whether the target vehicle has a historical parking record and the corresponding historical parking information.

[0034] S104: When the parking preference priority state of the target vehicle is that there is a parking preference priority, obtaining the parking preference priority corresponding to the target vehicle.

[0035] As an embodiment, obtaining the parking preference priority corresponding to the target vehicle includes: obtaining historical parking information corresponding to the target vehicle; analyzing the historical parking information to obtain the number of parking times corresponding to each parking sub-area; and prioritizing multiple parking sub-areas according to the number of parking times corresponding to each parking sub-area to obtain the parking preference priority corresponding to the target vehicle according to the sorting result.

[0036] That is to say, when the parking preference priority state of the target vehicle is that there is parking preference priority, the historical parking information of the target vehicle is obtained from the cloud server through the license plate number information, and the historical parking space location information, parking space equipment information and parking behavior information of the target vehicle are obtained from the historical parking information.

[0037] The number of parking times corresponding to each parking sub-area includes the number of parking sub-times corresponding to different functions in each parking sub-area and the number of usage sub-times corresponding to the usage of each function.

[0038] That is to say, if there are parking spaces with charging functions in the parking sub-area divided with the elevator area as the center, the number of times the target vehicle is parked in the parking spaces with charging functions and the number of times it is not parked in the parking spaces with charging functions in the parking sub-area can be analyzed, as well as the number of times the charging function is used and the number of times the charging function is not used after parking in the parking spaces with charging functions, etc.

[0039] As a specific embodiment, the target vehicle's license plate number information is used to obtain the target vehicle's most recent 20 (threshold, which can be set) historical parking information (the historical parking information may include parking information of other parking lots) from the cloud server. Based on the historical parking information, it is confirmed which parking sub-area and parking space the target vehicle selected in the most recent 20 parking behaviors, whether the parking space is a charging space, whether charging is performed while parking, etc.

[0040] Therefore, by analyzing the most recent 20 historical parking information, multiple parking sub-areas are prioritized according to the degree of repetition of parking information, and parking spaces with the same function in multiple parking sub-areas are further prioritized, so as to distinguish the parking preference priority of the target vehicle according to the number of times.

[0041] It should be noted that if the number of parking times corresponding to a parking sub-area is greater, the corresponding priority is higher; if the number of parking times corresponding to a parking sub-area is smaller, the corresponding priority is lower.

[0042] As an embodiment, when the parking status of the target vehicle is that there is no parking preference priority, the corresponding parking space information is displayed to the target vehicle according to a preset guidance rule, so as to guide the target vehicle to a parking space according to the corresponding parking space information.

[0043] It should be noted that the preset guidance rule may adopt any existing guidance rule, and this application does not make any specific limitation on this.

[0044] S105, acquiring parking space information in all parking sub-areas, and generating optimal parking space information according to the remaining parking space information in the parking space information and the parking preference priority corresponding to the target vehicle, so as to guide the target vehicle to a parking space according to the optimal parking space information.

[0045] It should be noted that the optimal parking space information includes one or more parking spaces. If there is only one parking space, the parking space will be recommended to the target vehicle through the guidance display device to guide the target vehicle to park; if there are multiple parking spaces, one parking space will be randomly selected from the multiple parking spaces, and the parking space will be recommended to the target vehicle through the guidance display device to guide the target vehicle to park.

[0046] That is to say, when the target vehicle enters the entrance passage of the parking lot, the vehicle detection device installed at the entrance passage of the parking lot obtains and records the vehicle information of the target vehicle, and opens the gate to let the target vehicle enter; the vehicle information of the target vehicle includes the license plate information, vehicle model information, and entry time of the target vehicle; the parking lot server confirms whether the target vehicle has parking preferences based on the vehicle information of the target vehicle; if the target vehicle information has one or more parking preferences, the parking spaces that meet the parking preferences of the target vehicle are screened out based on the remaining parking space information in the target parking lot and the parking preference priority of the target vehicle, and the parking space with the highest priority is selected from the screened parking spaces, and the parking space with the highest priority is displayed to the user through the guidance display device in the parking lot entrance passage and the parking lot, and guidance is provided; if the target vehicle information does not have associated parking preferences, the parking lot server recommends a suitable parking space according to preset rules, and displays the parking space information with the highest priority to the user through the guidance display device in the parking lot entrance passage and the parking lot, and guidance is provided.

[0047] As an embodiment, when the target vehicle is parked in the parking space, the current parking information corresponding to the target vehicle is obtained, and the parking preference priority corresponding to the target vehicle is updated according to the current parking information.

[0048] That is, after the target vehicle completes parking, the parking space detection device in the parking lot obtains the parking space information of the target vehicle and sends the parking space information to the parking lot server, which receives the information and uses it to update the historical parking preference priority of the target vehicle.

[0049] In summary, by dividing the parking area into multiple parking sub-areas, each parking sub-area corresponds to the different parking preferences of users, and the corresponding parking preference priority level is obtained according to the historical parking information of the target vehicle, so as to obtain the parking space information corresponding to the optimal vacant parking sub-area according to the parking preference priority level, so that the parking space that meets the parking preferences of different vehicle drivers can be recommended to the vehicle drivers according to their different parking preferences, so that the drivers can quickly find a satisfactory parking space for parking.

[0050] In order to implement the above embodiment, the present application embodiment proposes a parking space guidance device based on historical parking behavior, such as Figure 2 As shown, the parking space guidance device based on historical parking behavior proposed in the present application includes: a first acquisition module 10 , division modules 20 , 30 , a third acquisition module 40 and a parking space guidance module 50 .

[0051] Among them, the first acquisition module 10 is used to obtain parking lot layout information and division rules; the division module 20 is used to divide the parking area in the parking lot according to the parking lot layout information and division rules to obtain multiple parking sub-areas; the second acquisition module 30 is used to obtain the vehicle information of the target vehicle to determine the parking preference priority status of the target vehicle according to the vehicle information; the third acquisition module 40 is used to obtain the parking preference priority corresponding to the target vehicle when the parking preference priority status of the target vehicle is that there is a parking preference priority; the parking space guidance module 50 is used to obtain the parking space information in all parking sub-areas to generate the optimal parking space information according to the remaining parking space information in the parking space information and the parking preference priority corresponding to the target vehicle, so as to guide the target vehicle to a parking space according to the optimal parking space information.

[0052] It should be noted that the above explanations and descriptions of the embodiment of the parking space guidance method based on historical parking behavior are also applicable to the parking space guidance device based on historical parking behavior of this embodiment, and will not be repeated here.

[0053] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0054] A memory 301 , a processor 302 , and a computer program stored in the memory 301 and executable on the processor 302 .

[0055] When the processor 302 executes the program, the parking guidance method based on historical parking behavior provided in the above embodiment is implemented.

[0056] Furthermore, the electronic device further comprises:

[0057] The communication interface 303 is used for communication between the memory 301 and the processor 302 .

[0058] The memory 301 is used to store computer programs that can be run on the processor 302 .

[0059] The memory 301 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0060] If the memory 301, the processor 302 and the communication interface 303 are implemented independently, the communication interface 303, the memory 301 and the processor 302 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0061] Optionally, in a specific implementation, if the memory 301, the processor 302 and the communication interface 303 are integrated on a chip, the memory 301, the processor 302 and the communication interface 303 can communicate with each other through an internal interface.

[0062] The processor 302 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0063] An embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned parking space guidance method based on historical parking behavior.

[0064] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0065] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0066] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0067] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0068] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0069] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0070] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0071] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A parking guidance method based on historical parking behavior, characterized in that: The following steps are involved: Obtain parking lot layout information and division rules; Dividing the parking area in the parking lot according to the parking lot layout information and the division rule to obtain a plurality of parking sub-areas; acquiring vehicle information of a target vehicle to determine a parking preference priority state of the target vehicle based on the vehicle information; When the parking preference priority state of the target vehicle is that there is a parking preference priority, obtaining the parking preference priority corresponding to the target vehicle; Parking space information in all parking sub-areas is obtained to generate optimal parking space information according to remaining parking space information in the parking space information and the parking preference priority corresponding to the target vehicle, so as to guide the target vehicle to a parking space according to the optimal parking space information.

2. The parking guidance method based on historical parking behavior according to claim 1, characterized in that: The parking area in the parking lot is divided according to the parking lot layout information and the division rule to obtain a plurality of parking sub-areas, including: Get the parking space distance; Taking the target location in the parking lot layout information as the center, the parking spaces within the surrounding parking spaces are divided into the same parking area to obtain multiple parking sub-areas, wherein the target location includes an elevator area, a corridor area, an entrance area and an exit area.

3. The parking guidance method based on historical parking behavior according to claim 1, characterized in that: Obtaining the parking preference priority corresponding to the target vehicle includes: Obtaining historical parking information corresponding to the target vehicle; Analyze the historical parking information to obtain the number of parking times corresponding to each parking sub-area; The plurality of parking sub-areas are prioritized according to the number of parking times corresponding to each parking sub-area, so as to obtain the parking preference priority corresponding to the target vehicle according to the ranking result.

4. The parking guidance method based on historical parking behavior according to claim 3, characterized in that: If the number of parking times corresponding to a parking sub-area is greater, the corresponding priority is higher; if the number of parking times corresponding to a parking sub-area is smaller, the corresponding priority is lower.

5. The parking guidance method based on historical parking behavior according to claim 1, characterized in that: When the parking state of the target vehicle is that there is no parking preference priority, the corresponding parking space information is displayed to the target vehicle according to the preset guidance rule, so as to guide the target vehicle to a parking space according to the corresponding parking space information.

6. The parking guidance method based on historical parking behavior according to claim 1, characterized in that: The optimal parking space information includes one or more parking spaces. If there is only one parking space, the parking space is recommended to the target vehicle through a guidance display device to guide the target vehicle to park. If there are multiple parking spaces, a parking space is randomly selected from the multiple parking spaces, and the parking space is recommended to the target vehicle through a guidance display device to guide the target vehicle to park.

7. The parking guidance method based on historical parking behavior according to claim 1, characterized in that: When the target vehicle is parked in a parking space, current parking information corresponding to the target vehicle is obtained, and the parking preference priority corresponding to the target vehicle is updated according to the current parking information.

8. A parking guidance device based on historical parking behavior, characterized in that: include: The first acquisition module is used to acquire parking lot layout information and division rules; A division module, used for dividing the parking area in the parking lot according to the parking lot layout information and the division rule to obtain a plurality of parking sub-areas; a second acquisition module, configured to acquire vehicle information of a target vehicle, so as to determine a parking preference priority state of the target vehicle according to the vehicle information; a third acquisition module, configured to acquire the parking preference priority corresponding to the target vehicle when the parking preference priority state of the target vehicle is that there is a parking preference priority; The parking space guidance module is used to obtain parking space information in all parking sub-areas, so as to generate optimal parking space information according to the remaining parking space information in the parking space information and the parking preference priority corresponding to the target vehicle, so as to guide the target vehicle to a parking space according to the optimal parking space information.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the parking guidance method based on historical parking behavior as described in any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement a parking guidance method based on historical parking behavior as described in any one of claims 1 to 7.