Parking guidance system and method for stereo garage based on garage-out time prediction
By monitoring and analyzing vehicle entry information in the automated parking garage, the system can predict future exit numbers and guide drivers to choose appropriate parking areas, thus solving the problem of exit congestion caused by irregular vehicle distribution and improving garage operation efficiency and user experience.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANGHAI BANHUI NEW ENERGY TECH CO LTD
- Filing Date
- 2026-04-09
- Publication Date
- 2026-05-05
AI Technical Summary
Existing automated parking system management systems lack the ability to predict future vehicle exit times, resulting in irregular vehicle distribution after entry and congestion during peak exit periods, leading to low exit efficiency.
The system monitors vehicle entry information through a vehicle presence detection module, records historical vehicle data through a historical data storage module, calculates the future number of vehicles leaving each area of the garage through a data processing module, and displays and guides drivers with expected exit information and recommends suitable parking areas.
It effectively avoids congestion during peak exit times, reduces vehicle waiting time, improves the operational efficiency of multi-level parking garages, and optimizes the user parking experience.
Smart Images
Figure CN121982928A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of parking guidance technology for lift-and-slide automated parking systems, and more particularly to a parking guidance system and method for automated parking systems based on exit time prediction. Background Technology
[0002] With the acceleration of urbanization and the continuous growth of car ownership, the problem of parking difficulties in cities has become increasingly prominent. In response, multi-level parking garages have become an important way to solve urban static traffic problems because they can make full use of ground space resources and maximize the storage of vehicles.
[0003] Among various types of mechanical automated parking systems, the lift-and-slide system combines vertical and horizontal movement, offering strong adaptability and high space utilization, making it one of the most widely used types. However, while automated parking systems can effectively alleviate parking difficulties caused by insufficient urban parking spaces, they also bring other problems. The most typical is the problem of vehicle exit congestion, such as the morning peak exit times at hospitals and residential areas, or the evening peak exit times at office buildings and industrial parks, leading to queues and waiting times that seriously affect daily travel.
[0004] The main reason for these problems is that existing parking garage management systems lack necessary parking guidance systems. This leads to drivers parking based on personal preference, such as parking in the closest space to the building or near the exit, resulting in an irregular distribution of vehicles throughout the garage. In other words, existing parking garage management systems lack the ability to predict future vehicle exit times and cannot proactively guide parking areas based on expected exit times. When multiple vehicles exit from the same independent area at the same time, the lift-and-slide automated parking system requires sequential lifting and sliding of the vehicle platforms, significantly reducing exit efficiency and creating congestion bottlenecks. Summary of the Invention
[0005] The purpose of this invention is to propose a parking guidance system and method for a multi-level parking garage based on exit time prediction, so as to solve the above-mentioned technical problems.
[0006] Specifically, the present invention provides the following technical solution: a parking guidance system for a multi-level parking garage based on exit time prediction, comprising: a vehicle presence detection module for monitoring vehicle entry information for a single entry, the entry information including vehicle identity information and vehicle parking information; a historical data storage module for receiving the monitoring records from the vehicle presence detection module, classifying and summarizing them according to the vehicle identity information, generating and storing historical parking data for each vehicle; a data processing module for calculating the expected number of vehicles currently in position in each area of the garage to exit in future time periods based on the historical parking data of each vehicle stored in the historical data storage module; and a display guidance module for displaying to the driver the expected number of vehicles to exit in each area of the garage to exit in future time periods calculated by the data processing module.
[0007] As a preferred embodiment of the parking guidance system for a multi-level parking garage based on exit time prediction according to the present invention, the vehicle presence detection module includes a vehicle identification unit, a parking space detection unit, and a time recording unit; wherein, the vehicle identification unit is used to detect the vehicle's identity information; the parking space detection unit and the time recording unit are used to monitor the vehicle's parking information.
[0008] As a preferred embodiment of the parking guidance system for a multi-level parking garage based on exit time prediction as described in this invention, the data processing module includes an exit prediction unit, which is used to independently calculate the expected number of vehicles exiting each area of the garage in future time periods based on the historical exit times of currently occupied vehicles.
[0009] As a preferred embodiment of the parking guidance system for a multi-level parking garage based on exit time prediction according to the present invention, the data processing module further includes a congestion analysis unit, which is used to calculate and obtain the exit waiting time of vehicles in place based on the exit quantity predicted by the exit prediction unit.
[0010] As a preferred embodiment of the parking guidance system for a multi-level parking garage based on exit time prediction described in this invention, the display guidance module includes a time period dynamic division unit, which is used to divide the parking data of each area of the garage into different time granularities to display the expected number of vehicles in each area to exit in future time periods.
[0011] As a preferred embodiment of the parking guidance system for a multi-level parking garage based on exit time prediction according to the present invention, the dynamic time period division unit includes a first time granularity during peak vehicle exit periods and a second time granularity during off-peak periods.
[0012] As a preferred embodiment of the parking guidance system for a multi-level parking garage based on exit time prediction as described in this invention, it further includes: an identity recognition module for pre-identifying vehicle identity before the vehicle enters the garage; and a parking space recommendation module for recommending target parking areas to the drivers of vehicles waiting to enter the garage.
[0013] As a preferred embodiment of the parking guidance system for a multi-level parking garage based on exit time prediction according to the present invention, the vehicle presence detection module includes at least one of an automatic license plate recognition device, a manual magnetic card recognition device, or a mobile terminal QR code recognition device, which is installed at the garage entrance and / or on the road leading to the garage; the vehicle presence detection module also includes sensors.
[0014] As a preferred embodiment of the parking guidance system for a multi-level parking garage based on exit time prediction according to the present invention, the historical data storage module includes a memory.
[0015] As a preferred embodiment of the parking guidance system for a multi-level parking garage based on exit time prediction according to the present invention, the display guidance module includes a display device, which is set at the garage entrance and / or on the road leading to the garage; and / or, the display guidance module is configured on the driver's mobile terminal.
[0016] As a preferred embodiment of the parking guidance system for a multi-level parking garage based on exit time prediction according to the present invention, the identity recognition module includes at least one of an automatic license plate recognition device, a manual magnetic card recognition device, or a mobile terminal QR code recognition device, which is installed at the garage entrance and / or on the road leading to the garage.
[0017] As a preferred embodiment of the parking guidance system for a multi-level parking garage based on exit time prediction according to the present invention, the parking space recommendation module includes a display device, which is set at the garage entrance and / or on the road leading to the garage; and / or, the parking space recommendation module is configured on the driver's mobile terminal.
[0018] Specifically, based on the above-mentioned parking guidance system, the present invention also provides the following technical solution: a parking guidance method, comprising the following steps: S1: Collect and record vehicle entry information, which includes vehicle identification, parking space number, entry time, and exit time; S2: Establish and store the vehicle's historical parking data, which includes the vehicle's identification, historical parking space number, historical entry time, and historical exit time. S3: Based on the historical parking data of currently occupied vehicles, estimate the expected number of vehicles leaving the garage in each area during future time periods; S4: Output the calculation result of step S3 to the driver to guide the driver to select a parking area for the vehicle; S5: Pre-identify vehicle identification tags before the vehicle enters the warehouse; S6: Based on the vehicle's identification, query the vehicle's historical parking data and analyze the expected number of vehicles leaving the garage in different areas during different time periods to recommend target parking areas to the vehicle's driver.
[0019] In a preferred embodiment of the parking guidance method of the present invention, step S3 includes: S31: Statistically analyze the historical exit time distribution of currently parked vehicles in each area of the garage; S32: Based on the historical outbound time distribution, calculate the expected outbound quantity for each region in each future time period; S33: Assess the degree of congestion in each region based on the estimated outbound volume.
[0020] In a preferred embodiment of the parking guidance method of the present invention, step S6 includes: S61: Based on the vehicle identification, query and obtain the historical outbound time distribution and historical parking space number distribution of the vehicle; S62: Based on the historical outbound time distribution of the vehicle, calculate the expected outbound quantity for each region during the corresponding outbound time period of the vehicle; S63: Based on the historical parking space number distribution of the vehicle, and in conjunction with step S62, obtain the target area that is closest to the vehicle's usual parking area and has the shortest waiting time for exiting the parking space. S64: Recommend the target area to the driver of the vehicle.
[0021] As a preferred embodiment of the parking guidance method of the present invention, it further includes: S7: The driver selects a parking area for the vehicle based on the output of step S4 and / or the recommendations of step S6.
[0022] As a preferred embodiment of the parking guidance method of the present invention, it further includes: S8: The driver decides the departure time of the vehicle based on the calculation result of step S3.
[0023] The beneficial effects of this invention are as follows: By calculating the expected number of vehicles currently in use in each area of the garage to leave in the future based on the historical parking data of each vehicle with a vehicle identification identifier, and by displaying the exit number results to the driver, the driver can choose a parking area independently based on the results. The garage can automatically complete the parking allocation according to the distribution of vehicle exit times, thereby effectively avoiding congestion during peak exit times and reducing waiting time for exiting the garage. Attached Figure Description
[0024] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0025] Figure 1 This is a block diagram of a parking guidance system in one embodiment of the present invention. Figure 1 ; Figure 2 This is a block diagram of a vehicle presence detection module in one embodiment of the present invention. Figure 1 ; Figure 3 This is a block diagram of a data processing module in one embodiment of the present invention; Figure 4 The frame for displaying the guide module is shown in one embodiment of the present invention. Figure 1 ; Figure 5 This is a block diagram of a parking guidance system in one embodiment of the present invention. Figure 2 ; Figure 6 This is a block diagram of a vehicle presence detection module in one embodiment of the present invention. Figure 2 ; Figure 7 This is a block diagram of a historical data storage module in one embodiment of the present invention; Figure 8 The frame for displaying the guide module is shown in one embodiment of the present invention. Figure 2 ; Figure 9 This is a block diagram of an identity recognition module in one embodiment of the present invention; Figure 10 This is a block diagram of a parking space recommendation module in one embodiment of the present invention; Figure 11 This is a schematic diagram of the structure of a lifting and sliding three-dimensional parking garage according to an embodiment of the present invention. Detailed Implementation
[0026] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
[0027] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.
[0028] Secondly, the term "an embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places throughout this specification does not necessarily refer to the same embodiment, nor is it a single embodiment or an embodiment selectively excluded from other embodiments.
[0029] Furthermore, the present invention will be described in detail with reference to the schematic diagrams. When describing the embodiments of the present invention in detail, for ease of explanation, the cross-sectional views of the device structure will be partially enlarged without adhering to the general scale. Moreover, the schematic diagrams are merely examples and should not limit the scope of protection of the present invention.
[0030] Example 1 Reference Figures 1-11 In this embodiment, a parking guidance system for a multi-level parking garage based on exit time prediction is proposed to solve the problem of vehicle congestion during peak exit times in a lift-and-slide multi-level parking garage.
[0031] Specifically, such as Figure 1 As shown, the parking guidance system includes a vehicle presence detection module, a historical data storage module, a data processing module, and a display guidance module. The vehicle presence detection module monitors vehicle entry information for each instance, including vehicle identification information (such as a vehicle identification badge) and parking information (such as the parking space number, entry time, and exit time). The monitoring records are transmitted to the historical data storage module.
[0032] like Figure 1 As shown, the historical data storage module receives monitoring records from the vehicle presence detection module, categorizes and summarizes them according to vehicle identity information, generates and stores historical parking data for each vehicle, and then, through long-term data accumulation, establishes a parking behavior profile for each vehicle, providing a data foundation for predicting the number of vehicles leaving the garage in different areas and at different times. Specifically, the historical parking data includes vehicle identification, historical parking space number, historical entry time, and historical exit time.
[0033] like Figure 1 As shown, the data processing module performs out-of-garage prediction calculations for each time period based on the historical parking data of each vehicle stored in the historical data storage module, in order to estimate the expected number of vehicles currently in place in each area of the garage to leave in each future time period, and the calculation results are transmitted to the display guidance module.
[0034] like Figure 1 As shown, the display guidance module is used to receive the calculation results from the display guidance module and display to the driver the expected number of vehicles leaving the garage in each area in the future at each time period.
[0035] Furthermore, in some embodiments, such as Figure 2As shown, the vehicle presence detection module includes a vehicle identification unit, a parking space detection unit, and a time recording unit. The vehicle identification unit detects the vehicle's identity information using magnetic cards, mobile phone QR codes, and / or license plate recognition to obtain the vehicle's identification identifier, establishing a unique identification code for the vehicle within the parking guidance system. The parking space detection unit and the time recording unit monitor the vehicle's parking information. Specifically, the parking space detection unit detects the specific parking space number where the vehicle is parked, including the area number and the parking space number, to ensure the parking guidance system accurately locates the specific parking space for each vehicle. The time recording unit records the vehicle's single entry and exit times to ensure the parking guidance system accurately monitors each vehicle's parking time for each instance.
[0036] Furthermore, in some embodiments, such as Figure 3 As shown, the data processing module includes an outbound prediction unit and a congestion analysis unit. In use, the outbound prediction unit calculates the expected number of vehicles currently in the area to exit in future time periods based on the historical outbound times of vehicles currently in the area. The congestion analysis unit further calculates the outbound waiting time of vehicles based on the outbound prediction unit's predicted outbound number, thereby further determining the degree of outbound congestion in each area of the garage.
[0037] Furthermore, in some embodiments, to make the display of outbound quantity prediction results more effectively applicable to the daily travel of vehicles in parking guidance system-configured garages, such as... Figure 4 As shown, the display guidance module includes a time period dynamic division unit, which is used to divide the parking data of each area of the garage into different time granularities to display the expected number of vehicles in each area of the garage to leave the garage in the future time period.
[0038] Specifically, the dynamic time-segmentation unit includes using a first time granularity during peak vehicle exit times and a second time granularity during off-peak times. For example, if a residential community is equipped with a lift-and-slide multi-level parking garage with a parking guidance system, and the vehicle parking behavior files are recorded and analyzed through a historical data storage module, and the community's vehicles mainly exit from 7:30 to 9:00, with only a few vehicles exiting at other times, then the 7:30 to 9:00 time period is divided using the first time granularity, and the remaining time periods are divided using the second time granularity; for example, within the 7:30 to 9:00 time period, a time interval of 30 minutes (or 20 minutes, or 15 minutes, or 10 minutes) is used, and the remaining time periods are divided into time intervals of 60 minutes (or 45 minutes, or 90 minutes, or 120 minutes).
[0039] Furthermore, in some embodiments, such as Figure 5As shown, the parking guidance system also includes an identity recognition module, which is used to pre-identify vehicle identification before the vehicle enters the parking space.
[0040] Furthermore, in some embodiments, such as Figure 5 As shown, the parking guidance system also includes a parking space recommendation module, which recommends target parking areas to drivers of vehicles waiting to enter the parking space.
[0041] Specifically, the parking space recommendation module queries the historical parking data of the vehicle based on the vehicle identification identifier of the vehicle to be parked identified by the identity recognition module, analyzes the expected number of vehicles leaving the garage in each area in the future and at each time period, and recommends target parking areas to the drivers of the vehicles to be parked based on the degree of congestion.
[0042] It is worth noting that the number of vehicles exiting the garage is predicted independently for each area, and the degree of congestion is determined separately according to time period (or time interval). For example, in this embodiment, the garage includes area A and area B, each containing 20 parking spaces. The peak time for exiting the garage is from 7:30 to 9:00. The parking guidance system further divides the peak time into three time intervals: 7:30 to 8:00, 8:00 to 8:30, and 8:30 to 9:00. Based on the historical exit time records of all vehicles in the garage, the standard for exit congestion is divided into 10:7:3 according to the time interval.
[0043] If the current time is 19:21, there are currently 15 cars parked in area A of the parking garage and 17 cars parked in area B. The parking guidance system calculates the following predictions based on the historical parking data (historical exit times) of the 15 cars in area A and the 17 cars in area B respectively: 11 cars are predicted to exit area A between 7:30 and 8:00 the next day, 3 cars between 8:00 and 8:30, and 1 car between 8:30 and 9:00; 8 cars are predicted to exit area B between 7:30 and 8:00, 7 cars between 8:00 and 8:30, and 2 cars between 8:30 and 9:00 the next day. At this time, there is a vehicle waiting to enter the warehouse. Assuming that the historical exit time of the vehicles waiting to enter the warehouse is between 7:30 and 8:00, then area A is congested and area B is less congested. It is recommended that the driver of the vehicle waiting to enter the warehouse park in area B. If it is assumed that the historical exit time of the vehicles waiting to enter the warehouse is between 8:00 and 8:30, then area A is less congested and area B is congested. It is recommended that the driver of the vehicle waiting to enter the warehouse park in area A.
[0044] Specifically, in this embodiment, such as Figure 6As shown, the vehicle presence detection module includes at least one of an automatic license plate recognition device (such as a camera), a manual magnetic card recognition device (such as a card reader), or a mobile terminal QR code recognition device (such as a barcode scanner), which is installed at the garage entrance and / or on the road leading to the garage to scan the vehicle (license plate scanning, magnetic card scanning, or QR code scanning) when entering the garage to detect and obtain the vehicle's identity and entry time; and to scan the vehicle when leaving the garage to obtain the exit time.
[0045] Specifically, in this embodiment, such as Figure 6 As shown, the vehicle presence detection module also includes sensors, such as optical sensors, magnetic field sensors, and displacement sensors. It makes judgments based on changes in sensor signals. If a signal appears, the vehicle is parked in the parking space, and the corresponding parking space number of the vehicle is obtained.
[0046] Specifically, in this embodiment, such as Figure 7 As shown, the historical data storage module includes a memory for storing historical parking data for each vehicle.
[0047] Specifically, in this embodiment, such as Figure 8 As shown, the display guidance module includes display devices such as liquid crystal displays, LED displays (Light Emitting Diodes), and electro-optical bulletin boards, which are installed at the garage entrance and / or on the road leading to the garage to display the expected number of vehicles in each area of the garage to leave the garage in future time periods.
[0048] It is worth noting that in some embodiments, the display guidance module is configured on the driver's mobile terminal, which makes it convenient for the driver to view the number of vehicles in each area of the garage and the expected number of vehicles to leave the garage in the future at any time.
[0049] Specifically, in this embodiment, such as Figure 9 As shown, the identity recognition module includes at least one of an automatic license plate recognition device (such as a camera), a manual magnetic card recognition device (such as a card reader), or a mobile terminal QR code recognition device (such as a barcode scanner), which is installed at the garage entrance and / or on the road leading to the garage to detect and obtain vehicle identity identifiers.
[0050] Specifically, in this embodiment, such as Figure 10 As shown, the parking space recommendation module includes display devices such as liquid crystal displays, LED displays (Light Emitting Diodes), and electro-optical bulletin boards, which are installed at the garage entrance and / or on the road leading to the garage to recommend parking areas to drivers based on their historical parking data (historical exit times).
[0051] It is worth noting that in some embodiments, the parking space recommendation module is configured on the driver's mobile terminal to push recommendation information to the driver through a dedicated application.
[0052] In summary, the system utilizes a vehicle presence detection module and a historical data storage module to acquire historical parking data for each vehicle with its own identification identifier. Based on this historical parking data, the data processing module calculates the estimated number of vehicles currently in each area of the garage to leave during future time periods. A display guidance module allows drivers to see the estimated number of vehicles leaving each area of the garage before entering, enabling them to choose their parking spot accordingly. For example, if a driver plans to leave at 8:30 AM the next morning, they can view the estimated number of vehicles leaving during the 8:00-9:00 AM time slot and prioritize parking in areas with lower estimated departure times. This allows the garage to automatically allocate parking spaces based on vehicle departure times, effectively avoiding peak-hour congestion and reducing waiting time. A parking space recommendation module provides drivers with direct parking suggestions, reducing driver thinking time and improving the user's parking experience.
[0053] Example 2 Based on the parking guidance system described in Embodiment 1, this embodiment proposes a parking guidance method, including the following steps: S1: Collect and record vehicle entry information, which includes vehicle identification, parking space number, entry time, and exit time.
[0054] S2: Establish and store the vehicle's historical parking data, which includes the vehicle's identification, historical parking space number, historical entry time, and historical exit time.
[0055] S3: Based on the historical parking data of currently occupied vehicles, estimate the expected number of vehicles leaving the garage in different areas during different time periods in the future.
[0056] S31: Statistically analyze the historical exit time distribution of vehicles currently parked in each area of the garage.
[0057] S32: Based on the historical outbound time distribution, calculate the expected outbound quantity for each region in each future time period.
[0058] S33: Assess the degree of congestion in each region based on the estimated outbound volume.
[0059] S4: Output the calculation result of step S3 to the driver to guide the driver to select a parking area for the vehicle.
[0060] S5: Pre-identify vehicle identification before the vehicle enters the parking lot.
[0061] S6: Based on the vehicle's identification, query the vehicle's historical parking data and analyze the expected number of vehicles leaving the garage in different areas during different time periods to recommend target parking areas to the vehicle's driver.
[0062] S61: Based on the vehicle identification, query and obtain the historical outbound time distribution and historical parking space number distribution of the vehicle.
[0063] S62: Based on the historical outbound time distribution of the vehicle, calculate the expected outbound quantity for each region during the corresponding outbound time period of the vehicle.
[0064] S63: Based on the historical parking space number distribution of the vehicle, and in conjunction with step S62, obtain the target area that is closest to the vehicle's usual parking area and has the shortest waiting time for exiting the parking space.
[0065] S64: Recommend the target area to the driver of the vehicle.
[0066] S7: The driver selects a parking area for the vehicle based on the output of step S4 and / or the recommendations of step S6.
[0067] S8: The driver decides the departure time of the vehicle based on the calculation result of step S3.
[0068] In summary, the above methods and processes provide drivers with reference information on the predicted number of vehicles exiting each area of the parking garage and offer parking recommendations for individual vehicles. At the same time, they empower drivers with autonomy in decision-making, thereby improving the overall operational efficiency of the multi-level parking garage and optimizing the user's parking experience.
[0069] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.
Claims
1. A parking guidance system for a multi-level parking garage based on exit time prediction, characterized in that, include, The vehicle presence detection module is used to monitor vehicle entry information for each entry into the warehouse. The entry information includes vehicle identification information and vehicle parking information. The historical data storage module is used to receive the monitoring records from the vehicle presence detection module, classify and summarize them according to the vehicle identity information, generate historical parking data for each vehicle, and store it. The data processing module calculates the expected number of vehicles currently in use in each area of the garage to leave the garage in future time periods based on the historical parking data of each vehicle stored in the historical data storage module. as well as, The display guidance module is used to show the driver the expected number of vehicles leaving the garage in each area during future time periods, as calculated by the data processing module.
2. The parking guidance system as described in claim 1, characterized in that, The vehicle presence detection module includes a vehicle identification unit, a parking space detection unit, and a time recording unit; wherein... The vehicle identification unit is used to detect the vehicle's identity information; The parking space detection unit and the time recording unit are used to monitor vehicle parking information.
3. The parking guidance system as described in claim 1, characterized in that, The data processing module includes an outbound prediction unit, which is used to independently calculate the expected outbound quantity of each area of the garage in future time periods based on the historical outbound time of the currently in-place vehicles.
4. The parking guidance system as described in claim 3, characterized in that, The data processing module also includes a congestion analysis unit, which is used to calculate and obtain the waiting time for vehicles in place to leave the warehouse based on the number of vehicles leaving the warehouse predicted by the outbound prediction unit.
5. The parking guidance system as described in claim 1, characterized in that, The display guidance module includes a time period dynamic division unit, which is used to divide the parking data of each area of the garage into different time granularities to display the expected number of vehicles in each area to leave the garage in the future time period.
6. The parking guidance system as described in claim 5, characterized in that, The dynamic time-segmentation unit includes a first time granularity during peak vehicle exit times and a second time granularity during off-peak times.
7. The parking guidance system as described in claim 1, characterized in that, It also includes, An identification module is used to pre-identify vehicle identification tags before the vehicle enters the parking lot; and, The parking space recommendation module is used to recommend target parking areas to drivers of vehicles waiting to enter the parking space.
8. The parking guidance system as described in claim 1, characterized in that, The vehicle presence detection module includes at least one of an automatic license plate recognition device, a manual magnetic card recognition device, or a mobile terminal QR code recognition device, and is installed at the garage entrance and / or on the road leading to the garage. The vehicle presence detection module also includes sensors.
9. The parking guidance system as described in claim 1, characterized in that, The historical data storage module includes a memory.
10. The parking guidance system as described in claim 1, characterized in that, The display guidance module includes a display device, installed at the garage entrance and / or on the road leading to the garage; and / or, The display guidance module is configured on the driver's mobile terminal.
11. The parking guidance system as described in claim 7, characterized in that, The identity recognition module includes at least one of an automatic license plate recognition device, a manual magnetic card recognition device, or a mobile terminal QR code recognition device, and is installed at the garage entrance and / or on the road leading to the garage.
12. The parking guidance system as described in claim 7, characterized in that, The parking space recommendation module includes a display device installed at the garage entrance and / or on the road leading to the garage; and / or, The parking space recommendation module is configured on the driver's mobile terminal.
13. A parking guidance method, based on the parking guidance system according to any one of claims 1 to 12, characterized in that, Includes the following steps: S1: Collect and record vehicle entry information, which includes vehicle identification, parking space number, entry time, and exit time; S2: Establish and store the vehicle's historical parking data, which includes the vehicle's identification, historical parking space number, historical entry time, and historical exit time. S3: Based on the historical parking data of currently occupied vehicles, estimate the expected number of vehicles leaving the garage in each area during future time periods; S4: Output the calculation result of step S3 to the driver to guide the driver to select a parking area for the vehicle; S5: Pre-identify vehicle identification tags before the vehicle enters the warehouse; S6: Based on the vehicle's identification, query the vehicle's historical parking data and analyze the expected number of vehicles leaving the garage in different areas during different time periods to recommend target parking areas to the vehicle's driver.
14. The parking guidance method as described in claim 13, characterized in that, Step S3 includes: S31: Statistically analyze the historical exit time distribution of currently parked vehicles in each area of the garage; S32: Based on the historical outbound time distribution, calculate the expected outbound quantity for each region in each future time period; S33: Assess the degree of congestion in each region based on the estimated outbound volume.
15. The parking guidance method as described in claim 14, characterized in that, Step S6 includes: S61: Based on the vehicle identification, query and obtain the historical outbound time distribution and historical parking space number distribution of the vehicle; S62: Based on the historical outbound time distribution of the vehicle, calculate the expected outbound quantity for each region during the corresponding outbound time period of the vehicle; S63: Based on the historical parking space number distribution of the vehicle, and in conjunction with step S62, obtain the target area that is closest to the vehicle's usual parking area and has the shortest waiting time for exiting the parking space. S64: Recommend the target area to the driver of the vehicle.
16. The parking guidance method as described in claim 15, characterized in that, It also includes, S7: The driver selects a parking area for the vehicle based on the output of step S4 and / or the recommendations of step S6.
17. The parking guidance method as described in claim 16, characterized in that, It also includes, S8: The driver decides the departure time of the vehicle based on the calculation result of step S3.