Method and system for calculating queuing time at entrance and exit of parking lot

Abstract

The invention discloses a parking lot entrance and exit queuing time calculation method and system, and relates to the technical field of parking management, and the method comprises the steps: collecting an image on a vehicle entrance and exit path of a target parking lot through a pre-configured video device, and generating an image data set; calculating the passing rate of each vehicle based on the image data set, and judging whether the vehicles are queued in the entrance and exit path; if yes, on the basis of the image data set, generating a waiting time calculation result according to the queue length, the expected driving-in or driving-out duration of each vehicle in or out of the target parking lot; and transmitting the waiting time calculation result to the target application platform, and transmitting the waiting time calculation result to the corresponding vehicle owner user through the target application platform. The technical problems that in the prior art, the queuing time at the entrance and exit of the parking lot cannot be accurately estimated in real time, and the vehicle queuing state is difficult to monitor are solved, and the technical effects of accurately calculating the waiting time in real time, optimizing the parking decision of the vehicle owner and improving the parking lot management efficiency are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of parking management, and particularly relates to a method and system for calculating the queuing waiting time at the entrance and exit of a parking lot. Background Art

[0002] With the increasing urban traffic pressure, the queuing phenomenon at the entrance and exit of parking lots has become more and more common, especially during peak hours or near large public facilities. Traditional parking lot management methods cannot monitor the queuing situation in real time, nor can they accurately estimate the queuing waiting time of vehicles, resulting in car owners being unable to know the expected waiting duration in advance during the queuing process, which affects the parking experience of car owners. At the same time, parking lot managers lack real-time and effective tools to optimize vehicle flow and queuing management, thus affecting the operation efficiency of parking lots. Summary of the Invention

[0003] This application provides a method and system for calculating the queuing waiting time at the entrance and exit of a parking lot, which is used to solve the technical problems existing in the prior art that it is impossible to estimate the queuing waiting time at the entrance and exit of a parking lot in real time and accurately, and it is difficult to monitor the queuing state of vehicles.

[0004] In view of the above problems, this application provides a method and system for calculating the queuing waiting time at the entrance and exit of a parking lot.

[0005] In the first aspect of this application, a method for calculating the queuing waiting time at the entrance and exit of a parking lot is provided. The method includes:

[0006] Collect images on the vehicle entry and exit path of the target parking lot through pre-configured video devices to generate an image dataset; based on the image dataset, calculate the passing speed of each vehicle, and determine whether there is a queuing phenomenon on the vehicle entry and exit path; if so, generate a waiting time calculation result based on the queue length in the image dataset and the duration for each vehicle to enter or exit the target parking lot; transmit the waiting time calculation result to the target application platform, and send it to the corresponding car owner user through the target application platform.

[0007] In the second aspect of this application, a system for calculating the queuing waiting time at the entrance and exit of a parking lot is provided. The system includes:

[0008] The image acquisition module is used to capture images of the vehicle entry and exit paths of the target parking lot using pre-configured video equipment to generate an image data set; the traffic rate calculation module is used to calculate the traffic rate of each vehicle based on the image data set and determine whether there is a queue on the vehicle entry and exit path; the waiting time calculation module is used to calculate the queue length and the expected time for each vehicle to enter or exit the target parking lot based on the image data set to generate a waiting time calculation result; the information transmission module is used to transmit the waiting time calculation result to the target application platform, and transmit it to the corresponding vehicle owner user through the target application platform.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] This application uses a pre-configured video device to capture images of the vehicle entry and exit paths of a target parking lot to generate an image data set; based on the image data set, the traffic rate of each vehicle is calculated to determine whether a queue occurs on the vehicle entry and exit path; if so, the queue length and the expected time for each vehicle to enter or exit the target parking lot are calculated based on the image data set to generate a waiting time calculation result; the waiting time calculation result is transmitted to a target application platform, and then transmitted to the corresponding vehicle owner user through the target application platform. The present invention solves the technical problems of the existing technology that it is impossible to accurately estimate the waiting time of parking lot entrances and exits in real time and that the vehicle queue status is difficult to monitor. By analyzing the vehicle traffic rate based on the image data set, determining the queuing phenomenon, calculating the queue length and the expected time for vehicles to enter / exit the parking lot, the waiting time calculation result is generated and transmitted to the car owner through the target application platform, thereby achieving the technical effect of accurately calculating the waiting time in real time, optimizing the parking decision of the car owner, and improving the efficiency of parking lot management. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0012] Figure 1 A flowchart of a method for calculating the waiting time at a parking lot entrance and exit provided in an embodiment of the present application;

[0013] Figure 2 A schematic diagram of the structure of a system for calculating the waiting time in queues at parking lot entrances and exits provided in an embodiment of the present application.

[0014] Description of reference numerals: Image acquisition module 11, passing speed calculation module 12, waiting time calculation module 13, information transmission module 14. Detailed implementation mode

[0015] The present application provides a method and system for calculating the queuing waiting time at the entrance and exit of a parking lot. To solve the technical problems existing in the prior art, such as the inability to accurately estimate the queuing waiting time at the entrance and exit of a parking lot in real time and the difficulty in monitoring the vehicle queuing status, by analyzing the vehicle passing speed based on an image dataset, judging the queuing phenomenon, calculating the queue length and the expected time for the vehicle to enter / exit the parking lot, generating the waiting time calculation result and transmitting it to the vehicle owner through the target application platform, the technical effects of accurately calculating the waiting time in real time, optimizing the vehicle owner's parking decision, and improving the parking lot management efficiency are achieved.

[0016] Next, the technical solutions in the embodiments of the present application will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the protection scope of the present application.

[0017] It should be noted that any variations of the terms "including" and "having" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units does not necessarily have to be limited to those clearly listed steps or units, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products or devices.

[0018] Embodiment 1, as Figure 1 shown, the present application provides a method for calculating the queuing waiting time at the entrance and exit of a parking lot, and the method includes:

[0019] Step S100: Collect images on the vehicle entry and exit path of the target parking lot through a pre-configured video device to generate an image dataset.

[0020] Furthermore, the method provided by the application embodiment further includes:

[0021] Queue length identification marking lines are arranged on the vehicle entry and exit path.

[0022] In the embodiment of the present application, images on the vehicle entry and exit path of the target parking lot are collected through a pre-configured video device to generate an image dataset. These video devices are responsible for continuously recording the images of all passing vehicles on the entry and exit path to form an image dataset. The image dataset consists of a series of consecutive vehicle images, providing the position data of the vehicle at a specific moment.

[0023] To accurately judge the queuing situation, queue length identification marking lines are configured on the access path. The distance between these marking lines is 5 meters, which serves as a reference for position calibration during the vehicle queuing process. Each marking line represents a fixed distance, and through these marking lines, the position of the vehicle in the queue can be accurately identified and measured.

[0024] Step S200: Based on the image dataset, calculate the passing rate of each vehicle and judge whether there is a queuing phenomenon on the vehicle access path.

[0025] In the embodiment of the present application, based on the image dataset, first extract the images collected at multiple consecutive moments, and locate the position of each vehicle in the queue through the queue length identification marking lines. Next, calculate its passing rate according to the position change of each vehicle in the queue. Then, judge whether the proportion of vehicles with a passing rate lower than the preset threshold among all vehicles exceeds the preset proportion threshold. If the condition is met, it is considered that there is a queuing phenomenon on the access path.

[0026] Furthermore, in the method provided by the embodiment of the application, based on the image dataset, calculating the passing rate of each vehicle and judging whether there is a queuing phenomenon on the vehicle access path further includes:

[0027] Extract multiple consecutive images collected at multiple consecutive moments in the image dataset; identify the queuing positions of each vehicle in the multiple consecutive images based on the queue length identification marking lines; calculate the passing rate of each vehicle based on the queuing positions of each vehicle; judge whether the proportion coefficient of vehicles with a passing rate less than the preset rate threshold among the passing rates of each vehicle is greater than the preset proportion coefficient; if so, there is a queuing phenomenon.

[0028] In the embodiment of the present application, first extract the consecutive images collected at multiple consecutive moments from the already generated image dataset. By extracting the consecutive images in the image dataset, the vehicle states and queuing situations at different moments are obtained. These consecutive images provide sufficient time-series data for subsequent analysis to ensure that the dynamic changes of vehicles on the queuing path can be monitored.

[0029] Then, based on the extracted consecutive image data, use the queue length identification marking lines to identify the queuing position of each vehicle in the image. The queue length identification marking lines are virtual reference lines set on the access path of the parking lot, and the distance between two marking lines is 5 meters. By calculating the distance between the vehicles in the image and these marking lines, the position of each vehicle in the queuing queue, that is, the queuing position of the vehicle, is identified. The queuing position refers to the specific position of the vehicle in the queue relative to the queuing marking lines, and this position is the basis for calculating the subsequent passing rate and queuing waiting time.

[0030] Next, based on the change in the queuing position of each vehicle in consecutive images, the passing rate of each vehicle is calculated. By comparing the displacements of each vehicle at different time points, its passing rate is obtained. For example, assume a vehicle is at the 30-meter mark of the identification line at time t, and at time t+1, the vehicle moves to the 36-meter mark. The passing rate can be obtained by calculating the displacement (6 meters) and the time interval between the two time points. This step uses the formula V = ΔS / Δt (where ΔS is the displacement and Δt is the time difference) to calculate the passing rate of each vehicle, thereby monitoring the queuing progress of the vehicles.

[0031] Subsequently, it is determined whether the proportion coefficient of the vehicles with a passing rate less than the preset rate threshold among all vehicles exceeds the preset proportion threshold. The preset rate threshold is set to 0.2 m / s to determine which vehicles have a slower passing rate and may be in a queuing state. If the passing rate of a vehicle is lower than this threshold, it indicates that these vehicles may be queuing. By calculating the proportion of these low-rate vehicles, it is determined whether a queuing phenomenon has occurred. If the proportion of low-rate vehicles exceeds the preset proportion threshold (e.g., 80%), it indicates that a queuing phenomenon has occurred on the access path.

[0032] Step S300: If so, based on the image data set, the queue length and the duration for each vehicle to be expected to drive into or out of the target parking lot are used to generate the waiting time calculation result.

[0033] In the embodiment of the present application, based on the image data set, first, the queue length identification line at the position of the vehicle at the end of the queue is identified to generate the current queue length. Then, based on the image data set, the current queuing length of each vehicle in the queue is identified and converted into the access sequence number of each vehicle. Subsequently, the historical parking record data of the target parking lot is collected, and the probability that the vehicle at each position finally drives into the parking lot is analyzed. Combining the access sequence numbers of each vehicle, the duration for each vehicle to be expected to drive into or out of the parking lot is calculated. Finally, by adding the expected driving-in or driving-out duration of each vehicle to the current time, the time when each vehicle is expected to complete queuing for entry or exit is generated, and combined with the current queue length, the waiting time calculation result is finally obtained.

[0034] Furthermore, in the method provided by the embodiment of the application, using the image data set to generate the waiting time calculation result based on the queue length and the duration for each vehicle to be expected to drive into or out of the target parking lot further includes:

[0035] Based on the image dataset, identify the queue length identification line at the position of the vehicle at the end of the queue, and generate the current queue length; identify the current queuing lengths of the vehicles in the queue based on the image dataset, and convert them into the sequence numbers of entering and leaving the parking lot for each vehicle; collect the historical parking record data of the target parking lot, analyze the probability that the vehicle at each position finally enters the parking lot, and calculate the expected time for each vehicle to enter / leave the parking lot in combination with the sequence numbers of entering and leaving the parking lot for each vehicle; add the expected time for each vehicle to enter / leave the parking lot to the current moment to generate the expected time for each vehicle to complete queuing for entry / exit, and combine it with the current queue length to generate the waiting time calculation result.

[0036] In the embodiment of the present application, based on the image dataset, first, identify the queue length identification line at the position of the vehicle at the end of the queue to generate the current queue length. The queue length identification line is a virtual reference marking preset on the access path of the parking lot. It is set at intervals of 5 meters. Through image processing technology, the distance between each vehicle and these marking lines is identified in the image, so as to determine the number of vehicles currently queuing and the total length of the queue, and generate the current queue length.

[0037] Next, based on the image dataset, first determine the standard occupied length of the vehicle including the front-to-back spacing. The standard occupied length of the vehicle refers to the space occupied by each vehicle during queuing, including the length of the vehicle itself and the spacing between the front and rear vehicles. Then, calculate the current queuing length of each vehicle, and compare it with the ratio of the standard occupied length to generate the sequence numbers of entering and leaving the parking lot for each vehicle. The sequence number reflects the relative position of each vehicle in the queuing queue. The vehicle with a smaller sequence number is in the front of the queue, and the vehicle with a larger sequence number is in the back of the queue.

[0038] Then, collect the historical parking record data of the target parking lot and analyze the probability that the vehicle at each queuing position finally enters the parking lot. To calculate the entry probability at each position, compare the historical data of the vehicles identified in the queue with the actual vehicle data entering the parking lot, and calculate the probability that the vehicle at each position in the queue finally enters the parking lot. The specific calculation method is where Nin is the number of vehicles that finally enter the parking lot among the vehicles queuing at this position, and NL is the total number of vehicles at the queuing position. This calculation provides data support for the probability that the vehicle at each position successfully enters the parking lot. For example, if 80% of the vehicles queuing 30 meters away from the entrance finally enter the parking lot, the entry probability PL at this position is 80%.

[0039] Next, the in-out sequence number of each vehicle is combined with the driving-in probability at that position to calculate the expected duration for each vehicle to drive into or out of the parking lot. The sequence number of a vehicle is closely related to its queuing position. Vehicles with a smaller sequence number drive into the parking lot first, while vehicles with a larger sequence number need to wait longer. By combining the driving-in probabilities in the historical parking records, the expected driving-in duration of each vehicle can be estimated. Specifically, based on the sequence number of the vehicle, the driving-in probability of the queuing position, and the historical data, a duration estimation formula is used to calculate the expected queuing duration of each vehicle.

[0040] Finally, the expected duration for each vehicle to drive into or out of the parking lot is added to the current time to generate the expected time for each vehicle to complete queuing for entry or exit. Based on this calculation result, the time for each vehicle to complete queuing and successfully drive into or out of the parking lot is predicted. And these expected completion times are combined with the current queue length to generate the final waiting time calculation result.

[0041] Furthermore, in the method provided by the application embodiment, based on the image data set, the current queuing length of each vehicle in the queue is identified and converted into the in-out sequence number of each vehicle, and it further includes:

[0042] Determine the standard occupied length of the vehicle in the queue including the front and rear spacing; calculate the ratio of the current queuing length of each vehicle to the standard occupied length of the vehicle to generate the in-out sequence number of each vehicle.

[0043] In the embodiment of the present application, first, the standard occupied length of the vehicle in the queue including the front and rear spacing is determined. The standard occupied length of the vehicle refers to the space occupied by each vehicle when queuing, including both the length of the vehicle itself and the spacing that needs to be left between the front and rear vehicles. This standard occupied length is usually set based on the average length of the vehicle and the vehicle spacing. Specifically, the standard occupied length of the vehicle consists of the body length plus the standard spacing between the front and rear vehicles (for example, 2 meters to 3 meters).

[0044] Next, based on the image data set, the current queuing length of each vehicle is calculated. The queuing length refers to the actual distance between each vehicle and the entrance or exit of the parking lot. Through image processing technology, the positions of the vehicles at different time points are extracted from the image data set, and the queuing length is calculated according to the distance between each vehicle and the queue identification line. The identification line is a virtual marking preset on the in-out path, with an interval of 5 meters. In this way, the actual queuing length of each vehicle to the entrance or exit is measured.

[0045] Then, compare the current queuing length of each vehicle with the standard occupancy length of the vehicle, and calculate the ratio of the queuing length of each vehicle to the standard occupancy length. This ratio reflects the size of the queuing space occupied by each vehicle, which is equivalent to the number of standard occupancy length units occupied by each vehicle. For example, if the queuing length of a vehicle is 12 meters and the standard occupancy length is 5 meters, then the ratio of this vehicle is 12 / 5 = 2.4, indicating that this vehicle occupies 2.4 standard occupancy length spaces. Through this ratio, the relative occupancy of vehicles in the queue is quantified.

[0046] Finally, based on the ratio of the queuing length of each vehicle to the standard occupancy length, generate the in-out sequence number of each vehicle. The sequence number refers to the relative position of the vehicle in the queue. Vehicles with smaller sequence numbers are arranged in the front of the queue, and vehicles with larger sequence numbers are arranged in the back of the queue. By calculating the ratio of the queuing length to the standard occupancy length, determine the order of each vehicle in the queuing queue and accurately generate the sequence number of each vehicle.

[0047] Furthermore, in the method provided by the application embodiment, collect the historical parking record data of the target parking lot, analyze the probability that the vehicle at each position finally drives into the parking lot, and calculate the expected driving-in / driving-out time of each vehicle in combination with the in-out sequence numbers of each vehicle, further including:

[0048] Based on the historical parking record data and segmented according to a preset statistical period, generate the vehicle departure rate within each period; construct a duration estimation formula: where, Vout t is the vehicle departure rate; Rt i c i is the in-out sequence number; P L is the probability of finally driving into the parking lot; combine the vehicle departure rate within each period, the probability that the vehicle at each position finally drives into the parking lot, and the in-out sequence numbers of each vehicle, calculate the minimum time that satisfies the duration estimation formula, and generate the expected driving-in / driving-out time of each vehicle.

[0049] When calculating the expected driving-out time of each vehicle through the duration estimation formula, set P L to 100%.

[0050] In the embodiment of the present application, first, according to the historical parking record data and segmented according to a preset statistical period, generate the vehicle departure rate (Vout) within each period. The historical data of the parking lot needs to include at least the records of the most recent 1 month, and then divide the 24 hours of each day into several statistical periods, usually one period every 5 minutes, that is, a total of 288 statistical periods. For each statistical period, calculate the vehicle departure rate within this period, and its calculation formula is where Vout tis the number of vehicles leaving the parking lot in the tth period, D is the number of days covered by the parking record, and T t is the length of the t-th cycle (usually 5 minutes or 1 / 288 day). Through this calculation, the departure efficiency of the parking lot in each cycle is obtained.

[0051] On this basis, a long estimation formula is further established to calculate the queue time of each vehicle. t Represents the vehicle's departure rate, Rt i c i Indicates the order of entry and exit of each vehicle, P L The probability that the vehicle will eventually enter the parking lot is expressed by combining the vehicle departure rate per cycle, the departure probability at each location, and the vehicle's order. The minimum time required to satisfy the duration estimation formula is calculated to generate the expected duration for each vehicle to enter or exit the parking lot.

[0052] Step S400: transmitting the waiting time calculation result to a target application platform, and then transmitting it to the corresponding vehicle owner user through the target application platform.

[0053] In this embodiment of the present application, once the waiting time calculation results are generated, they are transmitted to a target application platform. This target application platform can be a smart city management system, a parking guidance system, or a similar mobile application platform for car owners, through which the calculation results can be delivered to the car owner. The target application platform is connected to the parking lot management system in real time via the network, ensuring that car owners receive timely updates on the parking lot queue situation.

[0054] After receiving the waiting time calculation results through the target application platform, the car owner can decide whether to continue queuing or choose another parking lot based on the provided queueing time and estimated parking time.

[0055] In the embodiments of the present application, in summary, the embodiments of the present application have at least the following technical effects:

[0056] This application collects images on the vehicle entry and exit paths of a target parking lot through pre-configured video devices to generate an image dataset; based on the image dataset, calculates the passing rates of various vehicles, and determines whether there is a queuing phenomenon on the vehicle entry and exit paths; if so, based on the image dataset, generates a waiting time calculation result for the queue length and the time for each vehicle to be expected to drive into or out of the target parking lot; transmits the waiting time calculation result to a target application platform, and passes it to the corresponding car owner user through the target application platform. The present invention solves the technical problems existing in the prior art that it is impossible to estimate the queuing waiting time at the parking lot entrance and exit in real time and accurately, and it is difficult to monitor the vehicle queuing state. By analyzing the vehicle passing rate based on the image dataset, judging the queuing phenomenon, calculating the queue length and the time for the vehicle to be expected to drive into / out of the parking lot, generating a waiting time calculation result and transmitting it to the car owner through the target application platform, it achieves the technical effects of calculating the waiting time in real time and accurately, optimizing the car owner's parking decision, and improving the parking lot management efficiency.

[0057] Embodiment 2, based on the same inventive concept as the calculation method for the queuing waiting time at the entrance and exit of a parking lot in the foregoing embodiment, as Figure 2 shown, this application provides a calculation system for the queuing waiting time at the entrance and exit of a parking lot. The system in the embodiment of this application and the method embodiment are based on the same inventive concept. Among them, the system includes:

[0058] An image acquisition module 11, configured to collect images on the vehicle entry and exit paths of a target parking lot through pre-configured video devices to generate an image dataset; a passing rate calculation module 12, configured to calculate the passing rates of various vehicles based on the image dataset and determine whether there is a queuing phenomenon on the vehicle entry and exit paths; a waiting time calculation module 13, configured to, if so, generate a waiting time calculation result for the queue length and the time for each vehicle to be expected to drive into or out of the target parking lot based on the image dataset; an information transmission module 14, configured to transmit the waiting time calculation result to a target application platform and pass it to the corresponding car owner user through the target application platform.

[0059] Furthermore, the system is also used to implement the following functions:

[0060] Queue length identification marking lines are configured on the vehicle entry and exit paths.

[0061] Furthermore, the system is also used to implement the following functions:

[0062] Extract multiple consecutive images collected at multiple consecutive moments in the image dataset; identify the queuing positions of each vehicle in the multiple consecutive images based on the queue length identification line; calculate the passing speed of each vehicle based on the queuing positions of each vehicle; determine whether the proportion coefficient of the vehicles with a passing speed less than the preset speed threshold among the passing speeds of each vehicle is greater than the preset proportion coefficient; if so, a queuing phenomenon occurs.

[0063] Further, the system is also used to implement the following functions:

[0064] Based on the image dataset, identify the queue length identification line at the position of the vehicle at the end of the queue, and generate the current queue length; identify the current queuing length of each vehicle in the queue based on the image dataset, and convert it into the sequence number of entry and exit for each vehicle; collect the historical parking record data of the target parking lot, analyze the probability that the vehicle at each position finally drives into the parking lot, and calculate the expected entry / exit time of each vehicle in combination with the sequence number of entry and exit for each vehicle; add the expected entry / exit time of each vehicle to the current moment to generate the expected completion time of queuing for entry / exit of each vehicle, and combine it with the current queue length to generate the waiting time calculation result.

[0065] Further, the system is also used to implement the following functions:

[0066] Determine the standard occupied length of the vehicle in the queue including the front and rear spacing; calculate the ratio of the current queuing length of each vehicle to the standard occupied length of the vehicle, and generate the sequence number of entry and exit for each vehicle.

[0067] Further, the system is also used to implement the following functions:

[0068] Based on the historical parking record data and segmented according to the preset statistical period, generate the vehicle departure rate in each period; construct a duration estimation formula: where, Vout t is the vehicle departure rate; Rt i c i is the sequence number of entry and exit; P L is the probability of finally driving into the parking lot; combine the vehicle departure rate in each period, the probability that the vehicle at each position finally drives into the parking lot, and the sequence number of entry and exit for each vehicle, and calculate the minimum time that satisfies the duration estimation formula to generate the expected entry / exit time of each vehicle.

[0069] Further, the system is also used to implement the following functions:

[0070] When calculating the expected exit time of each vehicle through the duration estimation formula, set P L to 100%.

[0071] It should be noted that the order in which the embodiments of the present application are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. Furthermore, the foregoing descriptions of specific embodiments of this specification are provided. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential sequence shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0072] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

[0073] This specification and drawings are merely illustrative of the present application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Obviously, those skilled in the art may make various modifications and variations to this application without departing from the scope of this application. Thus, this application is intended to include such modifications and variations as fall within the scope of this application and its equivalents.

Claims

1. A calculation method for the queuing waiting time at the entrance and exit of a parking lot, characterized in that, Including: Collect images on the vehicle entry and exit path of the target parking lot through a pre-configured video device to generate an image dataset; Based on the image dataset, calculate the passing rate of each vehicle and determine whether there is a queuing phenomenon on the vehicle entry and exit path; If so, based on the image dataset, generate a waiting time calculation result for the queue length and the duration for each vehicle to enter or exit the target parking lot; Transmit the waiting time calculation result to the target application platform and send it to the corresponding vehicle owner user through the target application platform.

2. The calculation method for the waiting time in the queue at the entrance and exit of a parking lot according to claim 1, wherein Queue length identification marking lines are configured on the vehicle entry and exit path.

3. A method for calculating the waiting time at a parking lot entrance and exit as claimed in claim 2, characterized in that: Based on the image dataset, calculate the passing rate of each vehicle and determine whether there is a queuing phenomenon on the vehicle entry and exit path, including: Extract multiple consecutive images collected at multiple consecutive moments in the image dataset; Based on the queue length identification marking line, identify the queuing position of each vehicle in the multiple consecutive images; Calculate the passing rate of each vehicle based on the queuing position of each vehicle; Judge whether the proportion coefficient of vehicles with a passing rate less than the preset rate threshold among the passing rates of each vehicle is greater than the preset proportion coefficient; If so, a queuing phenomenon occurs.

4. The calculation method of the queuing waiting time at the entrance and exit of a parking lot according to claim 1, characterized in that, Based on the image dataset, generate a waiting time calculation result for the queue length and the duration for each vehicle to enter or exit the target parking lot, including: Based on the image dataset, identify the queue length identification marking line at the position of the vehicle at the end of the queue to generate the current queue length; Based on the image dataset, identify the current queuing length of each vehicle in the queue and convert it into the entry and exit sequence number of each vehicle; Collect the historical parking record data of the target parking lot, analyze the probability that the vehicle at each position finally enters the parking lot, and calculate the duration for each vehicle to enter / exit the parking lot in combination with the entry and exit sequence number of each vehicle; Add the duration for each vehicle to enter / exit the parking lot to the current moment to generate the expected time for each vehicle to complete queuing for entry / exit, and combine it with the current queue length to generate the waiting time calculation result.

5. A method for calculating the waiting time at a parking lot entrance and exit as claimed in claim 4, characterized in that: Based on the image dataset, identify the current queuing length of each vehicle in the queue and convert it into the entry and exit sequence number of each vehicle, including: Determine the standard occupancy length of the vehicle in the queue including the front and rear spacing; Calculate the ratio of the current queuing length of each vehicle to the standard occupancy length of the vehicle to generate the entry and exit sequence number of each vehicle.

6. A method for calculating the waiting time at a parking lot entrance and exit as claimed in claim 1, characterized in that: Collect the historical parking record data of the target parking lot, analyze the probability that the vehicle at each position finally enters the parking lot, and calculate the duration for each vehicle to enter / exit the parking lot in combination with the entry and exit sequence number of each vehicle, including: Based on the historical parking record data, segment it according to the preset statistical period to generate the vehicle departure rate within each period; Construct a duration estimation formula: Among them, Vout t is the vehicle departure rate; Rt i c i P is the order of entry and exit; L is the probability of finally entering the parking lot; Combine the vehicle departure rate within each period, the probability that the vehicle at each position finally enters the parking lot, and the entry and exit sequence number of each vehicle to calculate the minimum time that satisfies the duration estimation formula, and generate the duration for each vehicle to enter / exit the parking lot.

7. A method for calculating the waiting time at a parking lot entrance and exit according to claim 6, characterized in that: When the expected time for each vehicle to leave the parking lot is calculated using the time estimation formula, P L Set to 100%.

8. A calculation system for the queuing waiting time at the entrance and exit of a parking lot, characterized in that, The system includes: An image acquisition module is used to capture images of vehicle entry and exit paths of a target parking lot using pre-configured video equipment to generate an image dataset; A traffic rate calculation module is used to calculate the traffic rate of each vehicle based on the image data set and determine whether there is a queue on the vehicle entry and exit path; a waiting time calculation module configured to calculate the queue length and the expected time for each vehicle to enter or exit the target parking lot based on the image data set, and generate a waiting time calculation result; The information transmission module is used to transmit the waiting time calculation result to the target application platform, and transmit it to the corresponding car owner user through the target application platform.

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