A parking lot management and dispatching method and system based on parking data monitoring

Abstract

The application relates to the technical field of intelligent parking, and provides a parking lot management and scheduling method and system based on parking data monitoring. The method comprises the following steps: acquiring a target parking area; performing regional division on the target parking area to obtain a plurality of parking sub-areas; acquiring parking distribution data; performing occupancy index identification on the plurality of parking sub-areas according to the parking distribution data to obtain a plurality of occupancy indexes corresponding to the plurality of parking sub-areas; judging the plurality of occupancy indexes to acquire an identified sub-area with an occupancy index smaller than a preset occupancy index; generating a first planning path according to the identified sub-area after a first entering vehicle enters the target parking area; and performing route scheduling management on the first entering vehicle by using the first planning path. The application solves the problems of slow parking speed and difficult parking space searching in the prior art, achieves the technical effect of quickly searching for an optimal parking space, and improves the parking efficiency.

Description

Technical Field

[0001] This application relates to the field of smart parking technology, and in particular to a parking lot management and scheduling method and system based on parking data monitoring. Background Technology

[0002] When a driver searches for a specific destination in a parking application, a scheduling strategy based on various parking factors (such as proximity to the destination, lowest parking fee, and most available spaces) is activated. This addresses the issue of matching vehicles with parking spaces at a specific time and location, centered on the driver's current location or destination. Nowadays, with parking lots becoming larger, finding the most suitable parking space by sight is often impossible, leading to slower parking speeds and wasted time searching for a space.

[0003] In summary, existing technologies suffer from slow parking speeds and difficulties in finding parking spaces. Summary of the Invention

[0004] Therefore, it is necessary to provide a parking lot management and scheduling method and system based on parking data monitoring that can quickly find the optimal parking space and improve parking efficiency, in order to address the above-mentioned technical problems.

[0005] In a first aspect, this application provides a parking lot management and scheduling method based on parking data monitoring. The method includes: obtaining a target parking area according to a parking management and scheduling system; dividing the target parking area into multiple parking sub-areas; collecting parking data from the multiple parking sub-areas using a data monitoring device to obtain parking distribution data; identifying occupancy indicators for the multiple parking sub-areas according to the parking distribution data to obtain multiple occupancy indicators corresponding to the multiple parking sub-areas; judging the multiple occupancy indicators to obtain a sub-area with an occupancy indicator less than a preset occupancy indicator; when a first vehicle enters the target parking area, connecting the vehicle's onboard system to the parking management and scheduling system to generate a first planned path based on the sub-areas; and managing the route of the first vehicle using the first planned path.

[0006] Secondly, this application provides a parking lot management and scheduling system based on parking data monitoring. The system includes: a target parking area acquisition module, used to acquire a target parking area according to a parking management and scheduling system; a parking sub-area acquisition module, used to regionalize the target parking area to obtain multiple parking sub-areas; a parking distribution data acquisition module, used to connect to a data monitoring device to collect parking data from the multiple parking sub-areas to obtain parking distribution data; and a multiple occupancy indicator corresponding module, used to correspond parking distribution data to the parking distribution indicators. The system identifies multiple parking sub-areas by performing occupancy indicator identification, resulting in multiple occupancy indicators corresponding to the multiple parking sub-areas; an occupancy indicator judgment module is used to judge the multiple occupancy indicators and obtain the identified sub-areas whose occupancy indicators are less than a preset occupancy indicator; a route generation module is used to connect the on-board system of the first entering vehicle to the parking management and dispatch system after the first entering vehicle enters the target parking area, and generate a first planned route based on the identified sub-areas; and a route dispatch management module is used to perform route dispatch management for the first entering vehicle using the first planned route.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0008] First, a target parking area is obtained according to the parking management and dispatch system. Second, the target parking area is divided into multiple sub-parking areas. Then, a data monitoring device is connected to collect parking data from these sub-parking areas to obtain parking distribution data. Next, occupancy indicators are identified for each sub-parking area based on the parking distribution data, resulting in multiple occupancy indicators corresponding to each sub-parking area. Then, these occupancy indicators are judged to identify sub-areas with occupancy indicators less than a preset occupancy indicator. Then, when a first vehicle enters the target parking area, the vehicle's onboard system is connected to the parking management and dispatch system, and a first planned path is generated based on the identified sub-areas. Finally, the first planned path is used to manage the route of the first vehicle. This application solves the problems of slow parking speed and difficulty in finding parking spaces in the prior art, achieving the technical effect of quickly finding the optimal parking space and improving parking efficiency.

[0009] The above description is merely an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, specific embodiments of this application are given below. Attached Figure Description

[0010] Figure 1 This is a flowchart illustrating a parking lot management and scheduling method based on parking data monitoring in one embodiment.

[0011] Figure 2 This is a schematic diagram illustrating the generation of the first planned path in a parking lot management and scheduling method based on parking data monitoring, as described in one embodiment.

[0012] Figure 3 This is a block diagram of a parking lot management and scheduling system based on parking data monitoring in one embodiment.

[0013] Attached diagrams show the following modules: Target parking area acquisition module 11, Parking sub-area acquisition module 12, Parking distribution data acquisition module 13, Multiple occupancy indicator correspondence module 14, Occupancy indicator judgment module 15, Planned route generation module 16, and Route scheduling management module 17. Detailed Implementation

[0014] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0015] After introducing the basic principles of this application, the technical solutions in this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments of this application. It should be understood that this application is not limited to the exemplary embodiments described herein. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.

[0016] like Figure 1 As shown, this application provides a parking lot management and scheduling method based on parking data monitoring, the method comprising:

[0017] Obtain the target parking area based on the parking management and dispatch system;

[0018] Parking data monitoring refers to the monitoring and management of various data in the parking lot. Parking lot management and scheduling refers to the scheduling strategy based on different parking factors (closest parking lot to destination, lowest parking fee, most available parking spaces, etc.) when car owners search for a specific destination in the parking user application software. This solves the problem of matching vehicles and parking spaces at specific times and spaces, centered on the car owner's current location or destination. Through a parking space time-conditioning central hub, it transforms the inefficient search of the original subjective parking lot selection by car owners into a more efficient intelligent scheduling recommendation, ensuring that car owners have parking spaces, reducing illegal parking on the road, reducing the average vehicle patrol time, improving the area's parking capacity and turnover efficiency, and reducing road congestion and carbon emissions. This application provides a parking lot management and scheduling method based on parking data monitoring to solve the problem of parking difficulties caused by slow parking lot scheduling in the prior art.

[0019] A parking management and dispatch system refers to a system that applies efficient vehicle dispatching solutions based on parking data monitoring to address parking problems in parking lots. The system reads data from the parking management and dispatch system to determine target parking areas. These target parking areas, selected by staff, are areas for studying and analyzing vehicle dispatching. Determining these target parking areas lays the groundwork for subsequent analysis and research.

[0020] The target parking area is divided into multiple parking sub-areas;

[0021] A region refers to a geographical area capable of multilateral economic cooperation; in this application, it refers to the classification and categorization of parking spaces of the same type. A parking sub-region refers to a different parking area divided based on different parking space information data. By regionalizing the target parking area, multiple parking sub-regions were obtained, laying the groundwork for subsequent research on parking scheduling.

[0022] The connected data monitoring device collects parking data from the multiple parking sub-areas to obtain parking distribution data;

[0023] Data monitoring devices refer to devices that can collect available user data, as well as various types of data generated in the business process, such as cameras; parking distribution data refers to which parking spaces vehicles are parked in the target parking area. Parking data is obtained by collecting parking data from multiple parking sub-areas using monitoring devices such as cameras. This parking distribution data clarifies the parking situation in the target parking area, providing data support for subsequent route planning for incoming vehicles.

[0024] Based on the parking distribution data, the occupancy indicators of the multiple parking sub-areas are identified to obtain multiple occupancy indicators corresponding to the multiple parking sub-areas;

[0025] Occupancy indicator identification refers to the data on occupied parking spaces within the parking sub-areas, used to identify the occupancy status of parking spaces within each sub-area. Based on the parking distribution data, occupancy indicator identification is performed on the multiple parking sub-areas to obtain the corresponding data on multiple occupied parking spaces within each sub-area. By identifying occupancy indicators in the multiple parking sub-areas using the parking distribution data, the occupancy status of multiple parking spaces corresponding to each sub-area is obtained, laying the groundwork for subsequent vehicle scheduling.

[0026] The parking distribution data is obtained, including data on privately locked parking spaces, parking spaces with piled-up debris, and parking spaces with limited space due to larger vehicles being parked there.

[0027] Based on the parking distribution data, the occupancy rate is calculated, and multiple occupancy indicators for the multiple parking sub-areas are output.

[0028] Detecting privately locked parking spaces refers to parking spaces that have been purchased or rented by a single user for an extended period and are not available for public use. Detecting cluttered parking spaces refers to parking spaces occupied by various piles of clutter. Detecting parking spaces with large vehicles causing space congestion refers to parking spaces where larger vehicles result in more compact occupancy. This data is used to obtain the distribution of occupied parking spaces. Occupancy rate refers to the percentage of occupied parking spaces in a given parking sub-area. For example, if a parking sub-area has 10 spaces out of 100, the occupancy rate is 10%. Occupancy index refers to the occupancy status within a parking sub-area. By calculating the occupancy rate, multiple occupancy indices are obtained for various parking sub-areas, providing data support for subsequent parking scheduling.

[0029] The multiple occupancy indicators are judged to obtain the identified sub-regions where the occupancy indicators are less than the preset occupancy indicators;

[0030] The preset occupancy index refers to the maximum number of vehicles that can be parked in the multiple parking sub-areas, set by the staff themselves. For example, if the preset occupancy index rate is set to 90% in the multiple parking sub-areas, then the preset occupancy index is obtained by multiplying the total number of parking spaces in the multiple parking sub-areas by the preset occupancy index rate. The multiple occupancy indices are judged, and the sub-areas with occupancy indices less than the preset occupancy index are identified. When the multiple occupancy indices are less than the preset occupancy index, it proves that the parking sub-area can still accommodate vehicles. The parking sub-areas with multiple occupancy indices less than the preset occupancy index are marked as identified sub-areas. By obtaining the identified sub-areas, the groundwork is laid for subsequent parking space scheduling and management.

[0031] When the first vehicle enters the target parking area, the vehicle's onboard system is connected to the parking management and dispatch system, and a first planned route is generated based on the identified sub-area.

[0032] The first entering vehicle refers to any vehicle that has just entered the target parking area and is recorded as the first entering vehicle for analysis. The onboard system of the first entering vehicle is communicatively connected to the parking management and scheduling system, and generates a first planned path based on the identified sub-area. The first planned path is the optimal route for the first entering vehicle to travel to the identified sub-area. By generating the first planned path, the optimal route for the first entering vehicle is determined, achieving the technical effect of rapid parking.

[0033] like Figure 2 As shown, the real-time location of the first vehicle is determined based on the vehicle's onboard system.

[0034] Based on the distribution of the identified sub-regions, the distance between the sub-regions and the real-time location of the first entering vehicle is optimized, and the optimal sub-region for the first entering vehicle is output.

[0035] The first planned path is generated with the optimal sub-region as the endpoint and the real-time location of the first entering vehicle as the starting point.

[0036] The in-vehicle system refers to a standalone device optimized specifically to enhance the driving experience. In this application, it can locate the real-time position of the first entering vehicle. The distributed position refers to the coordinates of the marked sub-region within the target parking area. Distance optimization refers to the process where, given multiple marked sub-regions within the target parking area, routes connecting the first entering vehicle to these sub-regions are obtained, resulting in multiple planned paths. The lengths and driving difficulties of these planned paths are compared and marked. Based on the lengths of the planned paths, the marked sub-region with the shortest planned path is selected as the optimal sub-region for the first entering vehicle. Using this optimal sub-region as the endpoint and the real-time position of the first entering vehicle as the starting point, the first planned path is generated. By obtaining the first planned path, the optimal parking method is obtained, completing the parking scheduling.

[0037] When the real-time position of the first entering vehicle deviates from the first planned path, a first deviation alert message is generated;

[0038] The voice recognition module collects feedback information from the first user based on the first deviation reminder information. The feedback information includes continuing planning and interrupting planning. The voice recognition module is connected to the vehicle system of the first vehicle.

[0039] When the feedback information indicates a plan interruption, the parking management and scheduling system is shut down.

[0040] The first deviation alert information refers to the alert information generated by the parking management and dispatch system when the real-time position of the first entering vehicle deviates from the first planned path. The first user refers to the driver of the first entering vehicle. The voice recognition module refers to the voice recognition system in the vehicle system that recognizes the voice commands of the first user. Feedback information refers to the first user's reaction to the first deviation alert information. "Continue planning" means the first user requires the parking management and dispatch system to plan the subsequent driving route. "Abandon planning" means that after the deviation alert, the first user says "abandon planning" in the voice recording, then the parking planning is interrupted, and the parking dispatch and management system is closed. By modifying the dispatch plan based on the first user's reaction, the technical effect of intelligent adjustment is achieved.

[0041] When the feedback information indicates that planning should continue, update the real-time location of the first entering vehicle;

[0042] Using the real-time location of the first entering vehicle after the update as the starting point for optimization, the identified sub-region is updated and optimized to obtain the second planned path.

[0043] "Continue planning" refers to the first user requiring the parking management and dispatch system to plan subsequent driving routes. When the feedback information indicates "continue planning," the real-time location of the first entering vehicle is updated through the vehicle system. Routes connecting the real-time location of the first entering vehicle to multiple identified sub-regions are connected to obtain multiple planned paths. The lengths and driving difficulties of these multiple planned paths are compared and marked. The lengths of the multiple planned paths are then compared, and the driving route with the shortest length is selected as the second planned path. By obtaining the second planned path, the technical effect of finding the optimal sub-region is achieved.

[0044] Obtain the second entering vehicle, which is the vehicle that enters after the first entering vehicle, and obtain the optimal sub-region of the second entering vehicle;

[0045] Determine whether the optimal sub-region of the second entering vehicle is the same as the optimal sub-region of the first entering vehicle. If they are the same, obtain the second optimal sub-region of the second entering vehicle.

[0046] The second planned path for the entering vehicle is generated using the suboptimal sub-region.

[0047] The second entering vehicle refers to the vehicle that enters after the first entering vehicle. The optimal sub-region of the second entering vehicle is obtained using the method described above. It is then determined whether the optimal sub-region of the second entering vehicle is the same as the optimal sub-region of the first entering vehicle. If they are the same, the second optimal sub-region of the second entering vehicle is obtained, where the second optimal sub-region is the optimal sub-region of the first entering vehicle. Since the optimal sub-regions of the first and second entering vehicles are the same, the planned path of the second entering vehicle is the same as the first planned path of the first entering vehicle. Obtaining the optimal sub-region of the second entering vehicle through this comparison method contributes to subsequent vehicle scheduling.

[0048] Obtain the occupancy index difference between the optimal sub-region and the suboptimal sub-region of the second entering vehicle;

[0049] If they are in the same sub-region and the difference in the occupancy index is greater than the preset difference in the occupancy index, a planned path for the second entering vehicle is generated based on the optimal sub-region of the second entering vehicle.

[0050] The optimal sub-region for the second entering vehicle refers to the marked sub-region that is directly accessible by the shortest and easiest route for the second entering vehicle. The second optimal sub-region refers to the marked sub-region that is second only to the shortest route for the second entering vehicle. The parking space occupancy difference refers to the difference in parking space occupancy between the optimal sub-region and the second optimal sub-region. If they are the same sub-region and the parking space occupancy difference is greater than a preset parking space occupancy difference, a planned route for the second entering vehicle is generated based on the optimal sub-region. If they are the same sub-region and the parking space occupancy difference is less than or equal to the preset parking space occupancy difference, a planned route for the second entering vehicle is generated based on the second optimal sub-region. Furthermore, if the optimal sub-regions for the first and second entering vehicles are different, a planned route for the second entering vehicle is generated based on the optimal sub-region corresponding to the second entering vehicle.

[0051] The first planned route is used to manage the route of the first entering vehicle.

[0052] Based on the first planned route, the application adjusts and manages the driving path and parking position of the first entering vehicle. This solves the problems of slow parking speed and difficulty in finding parking spaces in the prior art, and achieves the technical effect of quickly finding the optimal parking space and improving parking efficiency.

[0053] like Figure 3 As shown, this application provides a parking lot management and scheduling system based on parking data monitoring, the system comprising:

[0054] The target parking area acquisition module 11 is used to acquire the target parking area according to the parking management and scheduling system.

[0055] Parking sub-area acquisition module 12 is used to divide the target parking area into multiple parking sub-areas;

[0056] Parking distribution data acquisition module 13, the parking distribution data acquisition module 13 is used to connect to the data monitoring device to collect parking data of the multiple parking sub-areas and acquire parking distribution data;

[0057] Multiple occupancy indicator corresponding module 14 is used to identify occupancy indicators of the multiple parking sub-areas according to the parking distribution data, and obtain multiple occupancy indicators corresponding to the multiple parking sub-areas.

[0058] The occupancy indicator judgment module 15 is used to judge the plurality of occupancy indicators and obtain the identifier sub-region where the occupancy indicator is less than the preset occupancy indicator.

[0059] The route planning module 16 is used to connect the vehicle system of the first vehicle to the parking management and dispatch system after the first vehicle enters the target parking area, and generate a first planned route according to the identified sub-area.

[0060] The route scheduling management module 17 is used to perform route scheduling management on the first entering vehicle according to the first planned route.

[0061] Furthermore, embodiments of this application also include:

[0062] The real-time location positioning module of the vehicle is used to locate the real-time location of the first vehicle based on the vehicle system of the first vehicle.

[0063] The optimal sub-region output module is used to perform distance optimization with the real-time position of the first entering vehicle according to the distribution position of the identified sub-regions, and output the optimal sub-region of the first entering vehicle.

[0064] The planning path generation module is used to generate the first planned path with the optimal sub-region as the endpoint and the real-time location of the first entering vehicle as the starting point.

[0065] Furthermore, embodiments of this application also include:

[0066] A deviation alert information generation module is used to generate a first deviation alert information when the real-time position of the first entering vehicle deviates from the first planned path;

[0067] A feedback information collection module is used to collect feedback information from the first user based on the first deviation reminder information according to the voice recognition module. The feedback information includes continuing planning and interrupting planning. The voice recognition module is connected to the vehicle system of the first vehicle entering the vehicle.

[0068] The parking dispatch system shutdown module is used to shut down the parking management and dispatch system when the feedback information indicates a planning interruption.

[0069] Furthermore, embodiments of this application also include:

[0070] A real-time location update module is used to update the real-time location of the first entering vehicle when the feedback information is to continue planning.

[0071] The identifier sub-region update optimization module is used to update and optimize the identifier sub-region starting from the real-time location of the first entering vehicle after the update, and obtain the second planned path.

[0072] Furthermore, embodiments of this application also include:

[0073] A parking distribution data acquisition module is used to acquire parking distribution data, wherein the parking distribution data includes data on privately locked parking spaces, parking spaces with piled-up debris, and parking spaces with tight spaces caused by larger vehicles.

[0074] The parking space occupancy index output module is used to calculate the occupancy rate according to the parking distribution data and output multiple occupancy indices for the multiple parking sub-areas.

[0075] Furthermore, embodiments of this application also include:

[0076] The module for obtaining the optimal sub-region of the vehicle that enters later is used to obtain the second vehicle that enters later than the first vehicle and to obtain the optimal sub-region of the second vehicle.

[0077] The optimal sub-region determination module is used to determine whether the optimal sub-region of the second entering vehicle is the same as the optimal sub-region of the first entering vehicle. If they are the same sub-region, the second optimal sub-region of the second entering vehicle is obtained.

[0078] The vehicle planning path generation module is used to generate the second planned path for the entering vehicle based on the second optimal sub-region.

[0079] Furthermore, embodiments of this application also include:

[0080] The module for obtaining the difference in occupancy index is used to obtain the difference in occupancy index between the optimal sub-region and the second optimal sub-region of the second entering vehicle.

[0081] The module for determining the difference in occupancy indicators is used to generate a planned path for the second entering vehicle based on the optimal sub-region of the second entering vehicle if the difference in occupancy indicators is greater than a preset difference in occupancy indicators and the sub-region is the same.

[0082] For a specific embodiment of a parking lot management and scheduling system based on parking data monitoring, please refer to the embodiment of a parking lot management and scheduling method based on parking data monitoring described above, which will not be repeated here. The above modules can be embedded in hardware or independent of the processor in a computer device, or stored in software in the memory of a computer device, so that the processor can call and execute the operations corresponding to each module.

[0083] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0084] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A parking lot management and scheduling method based on parking data monitoring, characterized in that, The method includes: Obtain the target parking area based on the parking management and dispatch system; The target parking area is divided into multiple parking sub-areas; The connected data monitoring device collects parking data from the multiple parking sub-areas to obtain parking distribution data; Based on the parking distribution data, the occupancy indicators of the multiple parking sub-areas are identified to obtain multiple occupancy indicators corresponding to the multiple parking sub-areas; The multiple occupancy indicators are judged to obtain the identified sub-regions where the occupancy indicators are less than the preset occupancy indicators; When the first vehicle enters the target parking area, the vehicle's onboard system is connected to the parking management and dispatch system, and a first planned route is generated based on the identified sub-area. The first planned route is used to manage the route of the first entering vehicle; The method further includes: Based on the vehicle's onboard system, locate the real-time position of the first vehicle. Based on the distribution of the identified sub-regions, the distance between the sub-regions and the real-time location of the first entering vehicle is optimized, and the optimal sub-region for the first entering vehicle is output. The first planned path is generated with the optimal sub-region as the endpoint and the real-time location of the first entering vehicle as the starting point. The method further includes: Obtain the second entering vehicle, which is the vehicle that enters after the first entering vehicle, and obtain the optimal sub-region of the second entering vehicle; Determine whether the optimal sub-region of the second entering vehicle is the same as the optimal sub-region of the first entering vehicle. If they are the same, obtain the second optimal sub-region of the second entering vehicle. Using the suboptimal sub-region, generate the planned path for the second entering vehicle; After determining whether the optimal sub-region of the second entering vehicle is the same as the optimal sub-region of the first entering vehicle, the method further includes: Obtain the occupancy index difference between the optimal sub-region and the suboptimal sub-region of the second entering vehicle; If they are in the same sub-region and the difference in the occupancy index is greater than the preset difference in the occupancy index, a planned path for the second entering vehicle is generated based on the optimal sub-region of the second entering vehicle.

2. The method as described in claim 1, characterized in that, The method further includes: When the real-time position of the first entering vehicle deviates from the first planned path, a first deviation alert message is generated; The voice recognition module collects feedback information from the first user based on the first deviation reminder information. The feedback information includes continuing planning and interrupting planning. The voice recognition module is connected to the vehicle system of the first vehicle. When the feedback information indicates a plan interruption, the parking management and scheduling system is shut down.

3. The method as described in claim 2, characterized in that, The method further includes: When the feedback information indicates that planning should continue, update the real-time location of the first entering vehicle; Using the real-time location of the first entering vehicle after the update as the starting point for optimization, the identified sub-region is updated and optimized to obtain the second planned path.

4. The method as described in claim 1, characterized in that, The method further includes: The parking distribution data is obtained, including data on privately locked parking spaces, parking spaces with piled-up debris, and parking spaces with limited space due to larger vehicles being parked there. Based on the parking distribution data, the occupancy rate is calculated, and multiple occupancy indicators for the multiple parking sub-areas are output.

5. A parking lot management and scheduling system based on parking data monitoring, used to execute the method described in any one of claims 1 to 4, characterized in that, The system includes: A target parking area acquisition module is used to acquire a target parking area based on the parking management and scheduling system. A parking sub-area acquisition module is used to divide the target parking area into multiple parking sub-areas. A parking distribution data acquisition module is used to connect to a data monitoring device to collect parking data from the multiple parking sub-areas and acquire parking distribution data. A module for identifying multiple parking space indicators is used to identify multiple parking sub-areas according to the parking distribution data, and to obtain multiple parking space indicators corresponding to the multiple parking sub-areas. The occupancy indicator judgment module is used to judge the plurality of occupancy indicators and obtain the identifier sub-regions where the occupancy indicator is less than a preset occupancy indicator. A route planning generation module is used to connect the vehicle system of the first entering vehicle to the parking management and dispatch system after the first entering vehicle enters the target parking area, and generate a first planned route according to the identified sub-area. The route scheduling management module is used to manage the route of the first entering vehicle according to the first planned route.

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