CN112396862A - Parking management method and device - Google Patents
Parking management method and device Download PDFInfo
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- CN112396862A CN112396862A CN202110068307.5A CN202110068307A CN112396862A CN 112396862 A CN112396862 A CN 112396862A CN 202110068307 A CN202110068307 A CN 202110068307A CN 112396862 A CN112396862 A CN 112396862A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096833—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096833—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route
- G08G1/096838—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route where the user preferences are taken into account or the user selects one route out of a plurality
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
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Abstract
The application provides a parking management method and a parking management device, wherein the parking management method comprises the following steps: the method comprises the steps of obtaining parking preference of a vehicle and a free parking space prediction result corresponding to the current time, matching the parking preference with the free parking space prediction result, determining a vehicle candidate parking space corresponding to the current vehicle, and recommending the candidate parking space and a guidance route to a guidance terminal corresponding to the current vehicle according to the vehicle candidate parking space. The parking management method integrates the factors of the parking preference of the vehicle and the free parking space prediction result of the current time period to determine the candidate parking space, and recommends the optimal parking scheme for the vehicle owner, so that the convenience requirement of the vehicle owner is met, and the parking efficiency is improved.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a parking management method and apparatus.
Background
In the current society, the problem of parking difficulty always puzzles the trip of the car owner. The problem of parking difficulty appears because parking stall quantity can't satisfy the vehicle demand on the one hand, and on the other hand still because the use of parking area parking stall resource is unreasonable, and the car owner can't know the parking stall situation in the parking area in advance, appears gathering nature easily and parks. When the gathering parking occurs, on one hand, the false impression that the parking space is full is given to the vehicle owner, and the vehicle owner is forced to leave the parking area, so that the parking space resource is easily wasted; on the other hand, the car owner has to search other parking spaces without destination, so that the parking efficiency is low. In addition, the parking position of the car owner in the parking lot is often related to the living habits of the car owner, for example, the car owner usually stops the car near the residential building, and when the car is parked in a gathering manner, the car owner is forced to give up the conventional parking space, so that the convenience between parking and living cannot be enjoyed.
Therefore, the parking difficulty exists in the parking of the current parking lot, and the parking position does not meet the requirement of convenience.
Disclosure of Invention
The application provides a parking management method and a parking management device, which are used for solving the problems that parking is difficult when a current parking lot parks, and a parking position does not meet the requirement of convenience.
The application provides a parking management method, which comprises the following steps:
the method comprises the steps of obtaining parking preferences corresponding to a current vehicle, wherein the parking preferences comprise a parking space preference sequence of the current vehicle in a parking lot;
obtaining an idle parking space prediction result corresponding to the current time, wherein the idle parking space prediction result comprises the parking space vacancy rate of the parking space in the parking lot;
matching the parking preference with the free parking space prediction result to obtain a vehicle candidate parking space corresponding to the current vehicle;
and recommending the candidate parking spaces and the guide routes to the guide terminals corresponding to the current vehicles according to the candidate parking spaces.
Simultaneously, this application still provides a parking management device, and it includes:
the system comprises a first obtaining unit, a second obtaining unit and a control unit, wherein the first obtaining unit is used for obtaining parking preference corresponding to a current vehicle, and the parking preference comprises a parking space preference sequence of the current vehicle in a parking lot;
the second obtaining unit is used for obtaining an idle parking space prediction result corresponding to the current time, and the idle parking space prediction result comprises the parking space vacancy rate of the parking space in the parking lot;
the matching unit is used for matching the parking preference with the free parking space prediction result to obtain a vehicle candidate parking space corresponding to the current vehicle;
and the recommending unit is used for recommending the candidate parking spaces and the guiding routes to the guiding terminals corresponding to the current vehicles according to the candidate parking spaces.
Meanwhile, the application also provides a computer device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the steps in the parking management method.
Meanwhile, the application also provides a computer-readable storage medium, wherein a plurality of instructions are stored in the computer-readable storage medium, and the instructions are suitable for being loaded by a processor to execute the steps in the parking management method.
The beneficial effect of this application is: the parking management method comprises the steps of obtaining parking preference of a vehicle and a free parking space prediction result corresponding to the current time, determining a vehicle candidate parking space corresponding to the current vehicle by matching the parking preference and the free parking space prediction result, and recommending the candidate parking space and a guidance route to a guidance terminal corresponding to the current vehicle according to the candidate parking space. The parking management method integrates the factors of the parking preference of the vehicle and the free parking space prediction result of the current time period to determine the candidate parking space, and recommends the optimal parking scheme for the vehicle owner, so that the convenience requirement of the vehicle owner is met, and the parking efficiency is improved.
Drawings
The technical solution and other advantages of the present application will become apparent from the detailed description of the embodiments of the present application with reference to the accompanying drawings.
Fig. 1 is a schematic view of an application scenario of a parking management method provided in an embodiment of the present application;
FIG. 2 is a flowchart of a parking management method according to an embodiment of the present application;
FIG. 3 is a flow chart of another parking management method provided by an embodiment of the present application;
FIG. 4 is a flowchart of determining parking preferences in a parking management method provided by an embodiment of the present application;
FIG. 5 is a flow chart of another method for determining parking preferences in a parking management method according to an embodiment of the present application;
fig. 6 is a flowchart of determining a result of predicting an empty parking space in the parking management method according to the embodiment of the present application;
fig. 7 is a flowchart of determining candidate parking spaces in a parking management method according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a parking management apparatus according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of a computer device provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application provides a parking management method, which comprises the steps of obtaining parking preference of a vehicle according to historical parking data of the vehicle, predicting an idle parking space corresponding to a specific time period according to past parking space data of a parking lot, matching the parking preference of the current vehicle with a prediction result of the idle parking space of the current time period, determining a candidate parking space of the vehicle corresponding to the current vehicle, and recommending the candidate parking space and a guide route to a guide terminal corresponding to the current vehicle according to the candidate parking space. The parking management method provided by the embodiment of the application determines the candidate parking spaces by integrating the factors of the parking preference of the vehicle and the free parking space prediction result of the current time period, recommends the optimal parking scheme for the vehicle owner, meets the convenience requirement of the vehicle owner, and improves the parking efficiency.
Referring to fig. 1, fig. 1 is a schematic view of an application scenario of a parking management method according to an embodiment of the present application. The parking management method is used for intelligently recommending the parking scheme after the vehicle enters the parking lot in real time. The device for executing the parking management method can be an electronic device, and the electronic device can be arranged in a parking lot or on a vehicle. For a scene that the electronic equipment is arranged in a parking lot, when a vehicle enters the parking lot, the electronic equipment captures vehicle information through the information acquisition device, generates a recommended parking scheme of the vehicle through the parking management method provided by the embodiment of the application, and sends the recommended parking scheme to a guidance terminal of the vehicle so as to guide the vehicle to park in a proper area in the parking lot; for the scene that the electronic equipment is arranged on the vehicle, when the vehicle enters the parking lot, the electronic equipment collects parking lot information through the information collection device, such as the mark of the parking lot, identifies the parking lot, generates the recommended parking scheme of the vehicle through the parking management method provided by the embodiment of the application, sends the recommended parking scheme to the guide terminal of the vehicle, and then guides the vehicle to park in a proper area in the parking lot.
It should be noted that, a parking lot may include a plurality of parking areas, such as an area a, an area B, an area C, and an area D, where there may be differences in the total number of parking spaces, the types of parking spaces (parking spaces, side parking spaces, etc.) and the number of parking spaces of each type, the distribution of parking spaces, and the like in each parking area, and the parking positions of vehicles in the parking lot are directly related to the habit preference and parking space conditions of the vehicle owner. Two situations generally exist when a car owner parks in a parking lot, one is that a parking area is taken as a first consideration, the car is parked in an area which can provide convenience for work or life of the car owner, for example, the car owner stays in an area A, and for the convenience of life, the car owner can preferentially search for a parking space in the area A; the other is that the parking mode is taken as a first consideration, a parking space to be reserved or a parking space to be arranged on the side in the parking lot is selected for parking, for example, if a car owner only excels in parking on the side, the car owner can preferentially select the parking space on the side in the parking lot for parking. The parking management method provided by the embodiment of the application can well identify whether the car owner takes the parking area as the first consideration or the parking mode as the first consideration, and provides a parking scheme for the car in a targeted manner by combining the free parking space prediction result corresponding to the parking time, so that the parking efficiency and the parking satisfaction degree are improved.
It should be noted that the application scenario schematic diagram of the parking management method shown in fig. 1 is only an example, various scenarios described in the embodiment of the present application are for more clearly illustrating the technical solution of the embodiment of the present application, and do not constitute a limitation on the technical solution provided in the embodiment of the present application, and as a person having ordinary skill in the art knows that along with the evolution of the parking management technology and the occurrence of a new business scenario, the technical solution provided in the embodiment of the present application is also applicable to similar technical problems, and the following detailed descriptions are separately provided. It should be noted that the following description of the embodiments is not intended to limit the preferred order of the embodiments.
Referring to fig. 2, fig. 2 is a flowchart of a parking management method provided in an embodiment of the present application, where the parking management method integrates two factors, namely a parking preference of a vehicle and a parking space vacancy corresponding to a current time, and recommends an optimal parking scheme for the vehicle, so that a convenience requirement of a vehicle owner is met, and a parking efficiency is improved. The parking management method comprises the following steps:
step S101, obtaining parking preferences corresponding to a current vehicle, wherein the parking preferences comprise a parking space preference sequence of the current vehicle in a parking lot.
It should be noted that the flink technology is used throughout the process of acquiring the parking preference corresponding to the current vehicle, and the technology can reduce the memory space requirement on the acquisition unit and improve the fluency of the acquisition unit for acquiring the parking preference corresponding to the current vehicle.
Specifically, the step of obtaining the parking preference corresponding to the current vehicle includes:
historical parking data of the current vehicle in the parking lot is acquired, and the historical parking data refers to parking data of the vehicle in the parking lot in a past period of time, for example, data of the current vehicle parking in the parking lot in the last six months. The method for acquiring the historical parking data can be as follows: firstly, obtaining a parking image of a current vehicle in the parking lot for a period of time in the past, wherein the parking image can be a parking video or a parking photo; then, the parking image is analyzed to obtain the vehicle information (such as the license plate number and the license plate color) of the current vehicle, the parking area, the parking space and the parking mode (such as the reverse parking or the side parking) of the current vehicle. It should be noted that the parking image is an image of the current vehicle after parking in the parking lot or during parking, and is an image that can determine a specific parking position of the current vehicle.
And determining the parking preference corresponding to the current vehicle according to the historical parking data. It should be noted that the historical parking data of the vehicle in the parking lot includes the personal preference information of the owner driving the vehicle, and the personal preference of the owner can be accurately obtained by analyzing the historical parking data, so that the parking preference corresponding to the current vehicle is obtained. The specific method comprises the following steps: and processing the historical parking data to obtain the number of times of parking in the garage of the current vehicle, the number of times of parking in the side of the current vehicle and the number of times of parking in the parking space corresponding to each parking space of the current vehicle. And determining the preference priority of the current vehicle according to the ratio of the number of times of parking for backing the garage and the number of times of parking for the side, for example, determining that a parking area is a first preference priority or a parking mode is a first preference priority according to the ratio. Determining the parking preference of the current vehicle according to the preference priority and the parking times of the parking spaces; for example, when the parking area is in the first preference priority, the parking areas are sorted according to the parking times of the current vehicle to obtain an area sequence, the parking spaces in the parking areas are sorted according to the area sequence and the parking times of the parking spaces to obtain a parking space preference sequence, and then the parking preference of the current vehicle is determined according to the parking space preference sequence; or when the parking mode is the first preference priority, the parking spaces are sequenced according to the parking mode of the vehicle and the parking times of the parking spaces to obtain the parking space preference sequence, and then the parking preference of the current vehicle is determined according to the parking space preference sequence.
The method for determining the preference priority of the current vehicle according to the ratio of the number of times of parking in the garage dumping mode to the number of times of parking in the side direction can be as follows: setting a first threshold range, wherein the first threshold range comprises a first upper threshold and a first lower threshold. When the ratio of the number of times of parking in the garage and the number of times of parking on the side is smaller than the first lower threshold value, determining that the parking on the side is a first preference priority and the parking area is a second preference priority; it should be noted that, the ratio is smaller than the first lower threshold, which indicates that the vehicle is currently parked in a manner of mainly parking in a side parking manner in a past period of time, and parking in a manner of parking in a reverse garage is rarely adopted, which reflects that the vehicle owner is relatively good at parking in the side parking manner, so that the side parking is taken as a priority for preference of the vehicle. When the ratio of the number of times of parking for backing the garage to the number of times of parking for the side direction is larger than the first upper threshold value, determining that parking for backing the garage is a first preference priority, and determining that a parking area is a second preference priority; similarly, the ratio is greater than the first upper threshold, which indicates that the current vehicle is mainly parked in a reverse garage manner in the past period of time, and rarely parked in a side garage manner, which reflects that the vehicle owner is relatively good at parking in the reverse garage, so that parking in the reverse garage is taken as a priority for the preference of the vehicle. When the ratio of the number of times of parking in the garage dumping mode to the number of times of parking in the side direction is within the first threshold value range, determining that the parking area is a first preference priority and the parking mode is a second preference priority; it should be noted that, the ratio is within the first threshold range, which indicates that the number of times of reverse parking and the number of times of lateral parking of the current vehicle in the past period are equivalent, and reflects that the vehicle owner can accept both parking manners, so the parking area is taken as the priority of the preference of the vehicle.
Optionally, the first lower threshold is 0.2, the first upper threshold is 5, and the first threshold range is 0.2 to 5. In combination with big data analysis, it can be known that setting the first threshold range in this embodiment can accurately determine whether the vehicle owner is parking mainly in a parking manner or mainly in a parking area.
It should be noted that, by the above method, the parking preferences corresponding to all vehicles parked in the parking lot in the past period can be obtained, and the parking preferences corresponding to the vehicles are stored in one storage medium; when the vehicle enters the parking lot, the vehicle is identified through the license plate number and the license plate color, and the parking preference corresponding to the vehicle is obtained from the storage medium.
Step S102, obtaining an idle parking space prediction result corresponding to the current time, wherein the idle parking space prediction result comprises the parking space vacancy rate of the parking space in the parking lot.
It should be noted that the flink technology is used throughout the process of obtaining the free parking space prediction result corresponding to the current time, and the technology can reduce the memory space requirement on the obtaining unit and improve the fluency of obtaining the free parking space prediction result corresponding to the current time by the obtaining unit.
The free parking space prediction result is obtained on the basis of analyzing the parking space image data of the parking lot in a past period of time, and reflects the free probability of the parking spaces of each parking space in the parking lot corresponding to each period of time; if the vacant parking space in the time period corresponding to the current time is displayed in the vacant parking space prediction result, the probability that the parking space is vacant at the current time is high.
Specifically, before the step of obtaining the free parking space prediction result corresponding to the current time, the method further includes determining a parking space vacancy rate of each parking space in the parking lot corresponding to each time period, and the method includes:
and acquiring parking space data of the parking lot in a past time interval, wherein the parking space data comprises parking space identification of the parking space and idle indexes of the parking space in a preset time period. Specifically, the method for acquiring the parking space data comprises the following steps: in the past time interval, the parking space images corresponding to the parking spaces in the parking lot can be videos or photos collected by a collecting device. Analyzing the parking space image to obtain information such as a parking space identifier of a parking space and an idle index of the parking space in a preset time period; the idle index refers to whether the parking space is idle or not idle within the preset time period; the method for judging whether the parking space is free or not comprises the following steps: judging whether a vehicle stops at the parking space within the preset time period or not, if so, judging that the parking space is not idle within the preset time period, otherwise, judging that the parking space is not idle within the preset time period; the preset time period can be set according to actual requirements, and is not limited here. And determining parking space data of the parking lot in the past time interval according to information obtained by analyzing the parking space images.
And calculating the statistical number of the preset time periods contained in the past time interval. It should be noted that the past time interval refers to a past time interval, for example, six months in the past is a past time interval; the preset time period refers to a specific time period, for example, a time period from 0 to 1 point of each day; the statistical number of the preset time periods included in the past time interval refers to how many preset time periods coexist in the preset time interval, for example, the preset time interval is six months in the past, the preset time period is 0 to 1 point every day, and then the preset time interval includes 180 preset time periods from 0 to 1 point in total, that is, the statistical number of the preset time periods included in the past time interval is 180.
And according to the idle index of the parking space in the preset time period, counting the idle times of the parking space in the past time interval. As mentioned above, the idle indexes of the parking space in the preset time period include idle and non-idle, and the number of times that the parking space is idle corresponding to the preset time period in the past time interval is counted and marked as idle times. For example, the past time interval is six months in the past, the preset time period is from 0 to 1 point every day, 180 time periods from 0 to 1 point are total, in the 180 time periods from 0 to 1 point, 120 time periods from 0 to 1 point are total, the parking space is free, and the number of free times of the parking space in the past time interval is 120.
And comparing the idle times with the statistical quantity to obtain the parking space idle rate of the parking space corresponding to the preset time period. For example, the past time interval is six months in the past, the preset time period is 0 to 1 point every day, the statistical number of the preset time periods included in the past time interval is 180, the number of idle times of the parking space corresponding to the preset time period in the past time interval is 120, and the idle rate of the parking space corresponding to the preset time period is as follows: 120/180= 66.7%.
And obtaining an idle parking space prediction result corresponding to the preset time period according to the parking space idle rate. It should be understood that, by the above method, the parking space vacancy rates of the parking spaces in the parking lot corresponding to the time periods may be obtained, and the free parking space prediction result may be a quantitative index represented by the parking space vacancy rates.
It should be noted that the free parking space prediction result obtained by the above method may be stored in a storage medium, and the step S102 obtains the free parking space prediction result from the storage medium. Specifically, the step S102 includes: acquiring current time, wherein the current time refers to the time when the current vehicle enters a parking lot; and determining the free parking space prediction result corresponding to the current time according to the corresponding relation between the current time and the preset time period, for example, if the vehicle enters the parking lot at a ratio of 0:15, and the preset time period corresponding to the current time is from 0 point to 1 point, the free parking space prediction result corresponding to the current time is the free parking space prediction result from 0 point to 1 point in the time period.
And S103, matching the parking preference with the free parking space prediction result to obtain a vehicle candidate parking space corresponding to the current vehicle.
Specifically, the step S103 includes: determining a parking space preference sequence of the current vehicle in a parking lot according to the parking preference; the parking space preference sequence is a result of sequencing parking spaces in the parking lot according to the parking preference of the current vehicle; the more preferred parking spaces of the current vehicle are ranked more ahead in the parking space preference sequence. And matching the parking space vacancy rate of each parking space corresponding to the current time in the parking space preference sequence. Determining the parking spaces with the parking space vacancy rate larger than a second threshold value at the current time as vehicle candidate parking spaces corresponding to the current vehicle; optionally, the second threshold is 60%, that is, the parking space vacancy rates of the candidate parking spaces of the vehicle at the current time are all greater than 60%, and the probability that the parking space is actually vacant at the current time can meet the parking expectation of the vehicle owner by combining big data analysis.
And step S104, recommending the candidate parking space and a guiding route to a guiding terminal corresponding to the current vehicle according to the candidate parking space.
Optionally, the candidate slots may include a plurality of slots. The step of recommending the candidate parking space and the guide route to the guide terminal corresponding to the current vehicle according to the candidate parking space comprises the following steps: sequentially recommending the candidate parking spaces to the guide terminal according to the sequence calibrated by the parking space preference sequence; and when the candidate parking spaces ranked in the front in the parking space preference sequence are not idle actually, recommending the candidate parking spaces ranked in the back in the parking space preference sequence to the guide terminal, and generating a guide route corresponding to the candidate parking spaces.
In summary, the parking management method provided by the embodiment of the application includes obtaining parking preference of a vehicle according to historical parking data of the vehicle, predicting an idle parking space corresponding to a specific time period according to past parking space data of a parking lot, matching the parking preference of the current vehicle with a prediction result of the idle parking space of the current time period, determining a candidate parking space of the vehicle corresponding to the current vehicle, and recommending the candidate parking space and a guidance route to a guidance terminal corresponding to the current vehicle according to the candidate parking space. The parking management method integrates the factors of the parking preference of the vehicle and the free parking space prediction result of the current time period to determine the candidate parking space, and recommends the optimal parking scheme for the vehicle owner, so that the convenience requirement of the vehicle owner is met, and the parking efficiency is improved.
In an embodiment of the present application, please refer to fig. 3, and fig. 3 is a flowchart of another parking management method provided in the embodiment of the present application. In this embodiment, the parking management method includes the steps of:
step S201, collecting a vehicle historical parking image. Specifically, a video acquisition device or a picture acquisition device is used for acquiring the parking images of the vehicles in the parking lot for a period of time. The acquisition device can be a camera arranged in a parking lot, the parking image is an image of a vehicle after parking in the parking lot or in the parking process, and the image can determine the specific parking position of the vehicle.
In step S202, the historical parking image is analyzed. Specifically, the historical parking image is analyzed to obtain historical parking data of the vehicle, where the historical parking data includes vehicle information (such as license plate number and license plate color), parking area, parking space, and parking mode (such as parking in a reverse garage or parking in a side parking); screening the historical parking data, and deleting the vehicle data which lacks any one of vehicle information, parking areas, parking spaces and parking modes; and classifying and combining the historical vehicle data by taking the vehicle information as a key value to form historical parking data corresponding to each vehicle.
In step S203, a parking preference is determined. Specifically, the historical parking data is processed to obtain the number of times of parking in the garage of the vehicle, the number of times of parking in the side of the vehicle and the number of times of parking in each parking space corresponding to the vehicle; and determining the parking preference of the vehicle according to the number of parking in the garage, the number of parking in the side of the vehicle and the number of parking in each parking space corresponding to the vehicle.
Further, referring to fig. 4, the step of determining the parking preference of the vehicle further includes: step S301, calculating the ratio of the number of times of parking in the garage and the number of times of parking in the side direction, wherein the number of times of parking in the garage and the number of times of parking in the side direction are both parking statistical data for the same vehicle; step S302, setting a first threshold range, and judging whether the ratio of the garage dumping parking times to the side parking times is in the first threshold range; step S303, when the ratio of the number of times of parking in the garage dumping mode to the number of times of parking in the side direction is within the first threshold value range, determining that the parking area is a first preference priority and the parking mode is a second preference priority; step S304, when the ratio of the number of times of parking in the garage dumping mode to the number of times of parking in the side direction is out of the first threshold range, determining that the parking mode is the first preference priority and the parking area is the second preference priority.
Further, referring to fig. 5, the step of determining the parking preference of the vehicle further includes: step S401, calculating the ratio of the number of times of parking in the garage to the number of times of parking on the side; setting a first threshold range, wherein the first threshold range comprises a first upper threshold and a first lower threshold; step S402, judging whether the ratio of the number of times of garage dumping and parking to the number of times of side parking is greater than the first upper threshold value; step S403, judging whether the ratio of the number of times of garage dumping and parking to the number of times of side parking is smaller than the first lower threshold value; step S404, when the ratio of the number of times of parking for backing the garage and the number of times of parking for the side direction is larger than the first upper threshold value, determining that parking for backing the garage is a first preference priority and parking areas are a second preference priority; step S405, when the ratio of the number of times of parking in the garage dumping mode to the number of times of parking in the side direction is smaller than the first lower threshold value, determining that the priority of parking in the side direction is a first preference priority, and determining that the priority of parking in the parking area is a second preference priority; step S406, when the ratio of the number of times of parking in the garage dumping to the number of times of parking in the side direction is smaller than the first upper threshold and larger than the first lower threshold, determining that the parking area is the first preference priority.
It should be noted that, the above method utilizes the historical parking data of the vehicle to accurately judge whether the parking area is the priority or the parking mode is the priority when the vehicle parks in the parking lot, so as to provide an important reference index for recommending the parking space to the vehicle in the following steps, thereby greatly improving the satisfaction degree of the vehicle owner.
Further, the step of determining the parking preference of the vehicle further comprises: when the parking area is in the first preference priority, the parking areas are sorted according to the parking times of the current vehicle to obtain an area sequence, parking spaces in the parking areas are sorted according to the area sequence and the parking times of the parking spaces to obtain a parking space preference sequence, and then the parking preference of the current vehicle is determined according to the parking space preference sequence. Or when the parking mode is the first preference priority, the parking spaces are sequenced according to the parking mode of the vehicle and the parking times of the parking spaces to obtain the parking space preference sequence, and then the parking preference of the current vehicle is determined according to the parking space preference sequence; for example, if the side parking is the first preference priority, the side parking spaces where the vehicle has parked are sorted according to the parking times of the vehicle, so as to form the parking space preference sequence.
In addition, the parking preference may be updated periodically by: by adopting the method provided by the embodiment of the application, the parking preference of the corresponding vehicle is determined again at intervals.
And step S204, acquiring images of passing parking spaces. Specifically, the video acquisition device or the picture acquisition device is used for acquiring parking space images of all parking spaces in the parking lot in a past period (past time interval). The acquisition device can be a camera arranged in a parking lot, and the parking space images contain the parking conditions of vehicles of all parking spaces in all time periods.
In step S205, the past parking space image is analyzed. The parking space images are analyzed to obtain parking space identifiers (such as parking space codes) of the parking spaces and information such as idle indexes of the parking spaces in each preset time period. The idle index is whether the parking space is idle or not idle within the preset time period. The method for judging whether the parking space is free or not comprises the following steps: judging whether a vehicle stops at the parking space within the preset time period or not, and if the vehicle stops at the parking space, judging that the parking space is not idle within the preset time period; otherwise, the parking space is judged to be not idle in the preset time period. The preset time period can be set according to actual requirements, and is not limited here. And determining parking space data of the parking lot in the past time interval according to information obtained by analyzing the parking space images.
And step S206, determining the free parking space prediction result. Specifically, according to the parking space data of the parking lot in the past time interval, the parking space vacancy rate of each parking space corresponding to each preset time period is determined, and then the free parking space prediction result is determined.
Further, referring to fig. 6, the step of determining the free parking space prediction result further includes: step S501, parking space data of the parking lot in the past time interval are acquired. Step S502, calculating the statistical number of the preset time periods contained in the past time interval; wherein, the past time interval refers to a past time interval, the preset time period refers to a specific time period, and the past time interval may include a plurality of the preset time periods; in this step, the number of the preset time periods included in the past time interval is calculated as the statistical number. Step S503, counting the idle times of the parking spaces in the past time interval; the parking spaces have two idle indexes of idle and non-idle corresponding to the preset time periods; in this step, the number of times that the parking space is idle corresponding to the preset time period in the past time interval is counted and marked as the idle number. Step S504, comparing the idle times with the statistical quantity to obtain the parking space idle rate; the number of idle times corresponds to a certain preset time period, so that the parking space idle rate is also the parking space idle rate relative to the certain preset time period; by the method, the parking space vacancy rate of each parking space in the parking lot corresponding to each time period can be obtained. Step S505, obtaining an idle parking space prediction result corresponding to the preset time period; the free parking space prediction result may be a quantitative index represented by the parking space vacancy rate.
It should be noted that, in the embodiment of the application, the parking space data in the parking lot in a past period of time is utilized, the probability that each parking space is idle at the current time is predicted, and the parking space idle data capable of being stored is formed, so that direct calling and parking space recommendation are facilitated.
In addition, the free parking space prediction result can be updated regularly, and the method comprises the following steps: by adopting the method provided by the embodiment of the application, the free parking space prediction result is determined again at intervals.
And step S207, obtaining the candidate parking spaces of the vehicles. Specifically, the parking preference obtained in step S203 and the free parking space prediction result obtained in step S206 are matched to obtain a candidate parking space of the vehicle corresponding to the current vehicle.
Further, referring to fig. 7, the step of obtaining the candidate parking spaces of the vehicle includes: step S601, determining a parking space preference sequence of the current vehicle in a parking lot according to the parking preference; the parking space preference sequence is a result of sequencing parking spaces in the parking lot according to the parking preference of the current vehicle; the more preferred parking spaces of the current vehicle are ranked more ahead in the parking space preference sequence. And step S602, matching the parking space vacancy rate of each parking space corresponding to the current time in the parking space preference sequence. And step S603, judging whether the parking space vacancy rate is greater than a second threshold value. And step S604, determining the parking spaces with the parking space vacancy rate at the current time larger than a second threshold value as the candidate parking spaces of the vehicle corresponding to the current vehicle. And step S605, the parking spaces with the parking space vacancy rate smaller than the second threshold value at the current time are excluded.
In step S208, a candidate parking space is recommended to the vehicle, where the candidate parking space may include multiple parking spaces. Specifically, sequentially recommending the candidate parking spaces to a guidance terminal of a vehicle according to the sequence calibrated by the parking space preference sequence; and when the candidate parking spaces ranked in the front in the parking space preference sequence are not idle actually, recommending the candidate parking spaces ranked in the back in the parking space preference sequence to the guide terminal, and generating a guide route corresponding to the candidate parking spaces.
In summary, the parking management method provided by the embodiment of the application includes obtaining parking preference of a vehicle according to historical parking data of the vehicle, predicting an idle parking space corresponding to a specific time period according to past parking space data of a parking lot, matching the parking preference of the current vehicle with a prediction result of the idle parking space of the current time period, determining a candidate parking space of the vehicle corresponding to the current vehicle, and recommending the candidate parking space and a guidance route to a guidance terminal corresponding to the current vehicle according to the candidate parking space. The parking management method integrates the factors of the parking preference of the vehicle and the free parking space prediction result of the current time period to determine the candidate parking space, and recommends the optimal parking scheme for the vehicle owner, so that the convenience requirement of the vehicle owner is met, and the parking efficiency is improved.
Referring to fig. 8, the parking management apparatus includes a first obtaining unit 11, a second obtaining unit 12, a matching unit 13, and a recommending unit 14.
The first obtaining unit 11 is configured to obtain a parking preference corresponding to a current vehicle, where the parking preference includes a parking space preference sequence of the current vehicle in a parking lot.
The second obtaining unit 12 is configured to obtain a free parking space prediction result corresponding to current time, where the free parking space prediction result includes a parking space vacancy rate of a parking space in the parking lot.
The matching unit 13 is configured to match the parking preference with the free parking space prediction result to obtain a candidate parking space of the vehicle corresponding to the current vehicle.
The recommending unit 14 is configured to recommend the candidate parking space and the guidance route to the guidance terminal corresponding to the current vehicle according to the candidate parking space.
In one embodiment, the first obtaining unit 11 is further configured to obtain historical parking data of the current vehicle, where the historical parking data includes a vehicle identifier of the current vehicle, a parking area of the current vehicle, and a parking manner of the current vehicle. The first obtaining unit 11 is further configured to determine a parking preference corresponding to the current vehicle according to the historical parking data.
In an embodiment, the parking manners include reverse parking and side parking, and the first obtaining unit 11 is further configured to process the historical parking data to obtain the number of times of reverse parking of the current vehicle, the number of times of side parking of the current vehicle, and the number of times of parking in each parking space corresponding to the current vehicle; the preference priority of the current vehicle is determined according to the ratio of the number of times of parking in the garage and the number of times of parking in the side direction; and determining the parking preference of the current vehicle according to the preference priority and the parking times of the parking spaces.
In one embodiment, the first obtaining unit 11 is configured to set a first threshold range, where the first threshold range includes a first upper threshold and a first lower threshold; when the ratio of the number of times of parking in the garage dumping mode to the number of times of parking in the side direction is within the first threshold value range, determining that the parking area is a first preference priority and the parking mode is a second preference priority; and when the ratio of the number of times of parking in the garage dumping mode to the number of times of parking in the side direction is out of the first threshold range, determining that the parking mode is a first preference priority and the parking area is a second preference priority.
In one embodiment, the first obtaining unit 11 is further configured to determine that the side parking is the first preference priority and the parking area is the second preference priority when the ratio of the number of times of the garage dumping parking to the number of times of the side parking is smaller than the first lower threshold; and when the ratio of the number of times of garage dumping and parking to the number of times of side parking is greater than the first lower threshold value, determining that the garage dumping and parking are in a first preference priority and the parking area is in a second preference priority.
In an embodiment, the first obtaining unit 11 is further configured to sort the parking areas according to the parking times of the current vehicle when the parking areas are in the first preference priority, so as to obtain an area sequence; and the parking spaces in the parking area are sequenced according to the area sequence and the parking space parking times to obtain the parking space preference sequence.
In an embodiment, the first obtaining unit 11 is further configured to, when the parking mode is the first preference priority, sort the parking spaces according to the parking mode of the current vehicle and the parking times of the parking spaces, and obtain the parking space preference sequence.
In an embodiment, the second obtaining unit 12 is further configured to obtain parking space data of the parking lot in a past time interval, where the parking space data includes a parking space identifier of a parking space and an idle index of the parking space in a preset time period; the statistical number of the preset time periods contained in the past time interval is calculated; the parking space idle times in the past time interval are counted according to the idle indexes of the parking space in the preset time period; and the idle times are compared with the statistical number to obtain the parking space idle rate of the parking space corresponding to the preset time period; and obtaining an idle parking space prediction result corresponding to the preset time period according to the parking space idle rate.
In an embodiment, the second obtaining unit 12 is further configured to obtain a current time, and determine a free parking space prediction result corresponding to the current time according to a corresponding relationship between the current time and the preset time period.
In one embodiment, the matching unit 13 is further configured to determine a parking space preference sequence of the current vehicle in the parking lot according to the parking preference; the parking space vacancy rate is used for matching the parking space vacancy rate of each parking space corresponding to the current time in the parking space preference sequence; and determining the parking space with the parking space vacancy rate larger than the second threshold value at the current time as the vehicle candidate parking space corresponding to the current vehicle.
An embodiment of the present application further provides a computer device, and an internal structure diagram of the computer device may be as shown in fig. 9. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement the parking management method described in the above embodiments. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 9 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions or by associated hardware controlled by the instructions, which may be stored in a computer readable storage medium and loaded and executed by a processor.
To this end, the present application provides a storage medium, in which a plurality of instructions are stored, and the instructions can be loaded by a processor to implement the following functions: the method comprises the steps of obtaining parking preferences corresponding to a current vehicle, wherein the parking preferences comprise a parking space preference sequence of the current vehicle in a parking lot; obtaining an idle parking space prediction result corresponding to the current time, wherein the idle parking space prediction result comprises the parking space vacancy rate of the parking space in the parking lot; matching the parking preference with the free parking space prediction result to obtain a vehicle candidate parking space corresponding to the current vehicle; and recommending the candidate parking spaces and the guide routes to the guide terminals corresponding to the current vehicles according to the candidate parking spaces.
Wherein the storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
Since the instructions stored in the storage medium can execute the steps in any method provided in the embodiments of the present application, the beneficial effects that can be achieved by any method provided in the embodiments of the present application can be achieved, for details, see the foregoing embodiments, and are not described herein again.
It should be noted that, although the present application has been described with reference to specific examples, the above-mentioned examples are not intended to limit the present application, and those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present application, so that the scope of the present application shall be limited by the appended claims.
Claims (10)
1. A parking management method, comprising:
the method comprises the steps of obtaining parking preferences corresponding to a current vehicle, wherein the parking preferences comprise a parking space preference sequence of the current vehicle in a parking lot;
obtaining an idle parking space prediction result corresponding to the current time, wherein the idle parking space prediction result comprises the parking space vacancy rate of the parking space in the parking lot;
matching the parking preference with the free parking space prediction result to obtain a vehicle candidate parking space corresponding to the current vehicle;
and recommending the candidate parking spaces and the guide routes to the guide terminals corresponding to the current vehicles according to the candidate parking spaces.
2. The parking management method according to claim 1, wherein the step of obtaining the parking preference corresponding to the current vehicle comprises:
obtaining historical parking data of a current vehicle, wherein the historical parking data comprises a vehicle identifier of the current vehicle, a parking area of the current vehicle and a parking mode of the current vehicle;
and determining the parking preference corresponding to the current vehicle according to the historical parking data.
3. The parking management method according to claim 2, wherein the parking mode includes a reverse parking and a side parking, and the step of determining the parking preference corresponding to the current vehicle based on the historical parking data includes:
processing the historical parking data to obtain the number of times of parking in the garage of the current vehicle, the number of times of parking in the side of the current vehicle and the number of times of parking in each parking space corresponding to the current vehicle;
determining preference priority of the current vehicle according to the ratio of the number of times of parking in the garage and the number of times of parking on the side;
and determining the parking preference of the current vehicle according to the preference priority and the parking times of the parking spaces.
4. The parking management method according to claim 3, wherein the step of determining the preference priority of the current vehicle based on the ratio of the number of times of parking into the garage and the number of times of parking into the side includes:
setting a first threshold range, wherein the first threshold range comprises a first upper threshold and a first lower threshold;
when the ratio of the number of times of parking in the garage dumping mode to the number of times of parking in the side direction is within the first threshold value range, determining that the parking area is a first preference priority and the parking mode is a second preference priority; or
And when the ratio of the number of times of parking in the garage dumping mode to the number of times of parking in the side direction is out of the first threshold range, determining that the parking mode is a first preference priority and the parking area is a second preference priority.
5. The parking management method according to claim 4, wherein the step of determining that the parking manner is a first preference priority and the parking area is a second preference priority when the ratio of the number of times of parking in the garage dumping to the number of times of parking in the side direction is outside the first threshold range includes:
when the ratio of the number of times of parking in the garage and the number of times of parking on the side is smaller than the first lower threshold value, determining that the parking on the side is a first preference priority and the parking area is a second preference priority; or
And when the ratio of the number of times of parking for backing the garage to the number of times of parking for the side direction is larger than the first lower threshold value, determining that parking for backing the garage is a first preference priority and parking areas are a second preference priority.
6. The parking management method according to claim 5, wherein the step of determining the parking preference according to the preference priority and the parking number of the parking spaces comprises:
when the parking areas are in the first preference priority, sequencing the parking areas according to the parking times of the current vehicle to obtain an area sequence;
according to the region sequence and the parking space parking times, sorting the parking spaces in the parking region to obtain a parking space preference sequence; or
And when the parking mode is the first preference priority, the parking spaces are sequenced according to the parking mode of the current vehicle and the parking space parking times to obtain the parking space preference sequence.
7. The parking management method according to claim 1, wherein before the step of obtaining the free space prediction result corresponding to the current time, the method further comprises:
acquiring parking space data of the parking lot in a past time interval, wherein the parking space data comprises parking space identification of parking spaces and idle indexes of the parking spaces in a preset time period;
calculating the statistical number of the preset time periods contained in the past time interval;
according to the idle index of the parking space in the preset time period, counting the idle times of the parking space in the past time interval;
comparing the idle times with the statistical quantity to obtain the parking space idle rate of the parking space corresponding to the preset time period;
and obtaining an idle parking space prediction result corresponding to the preset time period according to the parking space idle rate.
8. The parking management method according to claim 7, wherein the step of obtaining the free space prediction result corresponding to the current time includes:
acquiring current time;
and determining the free parking space prediction result corresponding to the current time according to the corresponding relation between the current time and the preset time period.
9. The parking management method according to any one of claims 1 to 8, wherein the step of matching the parking preference with the free space prediction result to obtain a candidate space of the vehicle corresponding to the current vehicle includes:
determining a parking space preference sequence of the current vehicle in a parking lot according to the parking preference;
matching the parking space vacancy rate of each parking space corresponding to the current time in the parking space preference sequence;
and determining the parking spaces with the parking space vacancy rate at the current time larger than a second threshold value as the vehicle candidate parking spaces corresponding to the current vehicle.
10. A parking management apparatus, comprising:
the system comprises a first obtaining unit, a second obtaining unit and a control unit, wherein the first obtaining unit is used for obtaining parking preference corresponding to a current vehicle, and the parking preference comprises a parking space preference sequence of the current vehicle in a parking lot;
the second obtaining unit is used for obtaining an idle parking space prediction result corresponding to the current time, and the idle parking space prediction result comprises the parking space vacancy rate of the parking space in the parking lot;
the matching unit is used for matching the parking preference with the free parking space prediction result to obtain a vehicle candidate parking space corresponding to the current vehicle;
and the recommending unit is used for recommending the candidate parking spaces and the guiding routes to the guiding terminals corresponding to the current vehicles according to the candidate parking spaces.
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113240936A (en) * | 2021-05-12 | 2021-08-10 | 北京百度网讯科技有限公司 | Parking area recommendation method and device, electronic equipment and medium |
| CN113284359A (en) * | 2021-07-22 | 2021-08-20 | 腾讯科技（深圳）有限公司 | Parking space recommendation method, device, equipment and computer readable storage medium |
| CN113393700A (en) * | 2021-07-14 | 2021-09-14 | 深圳电目科技有限公司 | Parking space management method, parking space management device and computer equipment |
| CN113643532A (en) * | 2021-07-22 | 2021-11-12 | 深圳先进技术研究院 | Regional traffic prediction method and device |
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| CN114999211A (en) * | 2022-05-23 | 2022-09-02 | 浪潮卓数大数据产业发展有限公司 | Intelligent parking method and equipment based on artificial intelligence big data |
| CN114999200A (en) * | 2022-05-23 | 2022-09-02 | 田萍 | Auxiliary parking method and system applied to intelligent automobile |
| CN115394107A (en) * | 2022-08-03 | 2022-11-25 | 内蒙古巨宇测绘有限公司 | Off-peak parking method and system |
| CN116153135A (en) * | 2023-04-04 | 2023-05-23 | 湖南桅灯机器人有限公司 | Map navigation method and system applied to underground parking garage |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008096362A (en) * | 2006-10-13 | 2008-04-24 | Denso Corp | On-vehicle navigation device |
| CN101946269A (en) * | 2008-02-14 | 2011-01-12 | 丰田自动车株式会社 | Parking lot guidance system |
| JP2011163904A (en) * | 2010-02-09 | 2011-08-25 | Toyota Motor Corp | Guide system |
| CN104408967A (en) * | 2014-11-26 | 2015-03-11 | 浙江中南智能科技有限公司 | Cloud-computing-based parking lot management system |
| CN107038488A (en) * | 2017-02-25 | 2017-08-11 | 浙江大学 | A kind of real-time berth reserving method in parking lot based on berth prediction and selection of stopping |
| CN107218945A (en) * | 2017-06-08 | 2017-09-29 | 福建照付通物联网科技有限责任公司 | A kind of air navigation aid and system |
| CN109191896A (en) * | 2018-10-17 | 2019-01-11 | 南京邮电大学 | Personalized parking stall recommended method and system |
| CN111009151A (en) * | 2019-12-10 | 2020-04-14 | 珠海格力电器股份有限公司 | Parking space recommendation method, storage medium and terminal device |
| CN111932037A (en) * | 2020-09-23 | 2020-11-13 | 浙江创泰科技有限公司 | Parking space state prediction method and system based on machine learning |
| CN112185150A (en) * | 2020-09-15 | 2021-01-05 | 珠海格力电器股份有限公司 | Method and device for determining target parking space, electronic equipment and computer readable medium |
-
2021
- 2021-01-19 CN CN202110068307.5A patent/CN112396862B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008096362A (en) * | 2006-10-13 | 2008-04-24 | Denso Corp | On-vehicle navigation device |
| CN101946269A (en) * | 2008-02-14 | 2011-01-12 | 丰田自动车株式会社 | Parking lot guidance system |
| JP2011163904A (en) * | 2010-02-09 | 2011-08-25 | Toyota Motor Corp | Guide system |
| CN104408967A (en) * | 2014-11-26 | 2015-03-11 | 浙江中南智能科技有限公司 | Cloud-computing-based parking lot management system |
| CN107038488A (en) * | 2017-02-25 | 2017-08-11 | 浙江大学 | A kind of real-time berth reserving method in parking lot based on berth prediction and selection of stopping |
| CN107218945A (en) * | 2017-06-08 | 2017-09-29 | 福建照付通物联网科技有限责任公司 | A kind of air navigation aid and system |
| CN109191896A (en) * | 2018-10-17 | 2019-01-11 | 南京邮电大学 | Personalized parking stall recommended method and system |
| CN111009151A (en) * | 2019-12-10 | 2020-04-14 | 珠海格力电器股份有限公司 | Parking space recommendation method, storage medium and terminal device |
| CN112185150A (en) * | 2020-09-15 | 2021-01-05 | 珠海格力电器股份有限公司 | Method and device for determining target parking space, electronic equipment and computer readable medium |
| CN111932037A (en) * | 2020-09-23 | 2020-11-13 | 浙江创泰科技有限公司 | Parking space state prediction method and system based on machine learning |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113240936A (en) * | 2021-05-12 | 2021-08-10 | 北京百度网讯科技有限公司 | Parking area recommendation method and device, electronic equipment and medium |
| WO2022237277A1 (en) * | 2021-05-12 | 2022-11-17 | 北京百度网讯科技有限公司 | Parking area recommendation method and apparatus, electronic device, and medium |
| CN113240936B (en) * | 2021-05-12 | 2024-03-08 | 北京百度网讯科技有限公司 | Parking area recommendation method and device, electronic equipment and medium |
| CN113393700A (en) * | 2021-07-14 | 2021-09-14 | 深圳电目科技有限公司 | Parking space management method, parking space management device and computer equipment |
| CN113284359A (en) * | 2021-07-22 | 2021-08-20 | 腾讯科技（深圳）有限公司 | Parking space recommendation method, device, equipment and computer readable storage medium |
| CN113643532A (en) * | 2021-07-22 | 2021-11-12 | 深圳先进技术研究院 | Regional traffic prediction method and device |
| CN113643532B (en) * | 2021-07-22 | 2022-08-16 | 深圳先进技术研究院 | Regional traffic prediction method and device |
| CN114415692A (en) * | 2022-02-23 | 2022-04-29 | 阿里巴巴（中国）有限公司 | Automatic parking method, device, apparatus, storage medium, and program for parking lot |
| CN114664112B (en) * | 2022-03-16 | 2023-09-12 | 广州小鹏汽车科技有限公司 | Garage-oriented parking space recommendation method, server and storage medium |
| CN114664112A (en) * | 2022-03-16 | 2022-06-24 | 广州小鹏汽车科技有限公司 | Parking space recommendation method, server and storage medium for garage |
| CN114913703A (en) * | 2022-04-25 | 2022-08-16 | 广州瀚信通信科技股份有限公司 | Parking guidance method, device, equipment and medium based on historical parking data |
| CN114913703B (en) * | 2022-04-25 | 2024-03-19 | 广州瀚信通信科技股份有限公司 | Parking guiding method, device, equipment and medium based on historical parking data |
| CN114999211A (en) * | 2022-05-23 | 2022-09-02 | 浪潮卓数大数据产业发展有限公司 | Intelligent parking method and equipment based on artificial intelligence big data |
| CN114999200A (en) * | 2022-05-23 | 2022-09-02 | 田萍 | Auxiliary parking method and system applied to intelligent automobile |
| CN115394107A (en) * | 2022-08-03 | 2022-11-25 | 内蒙古巨宇测绘有限公司 | Off-peak parking method and system |
| CN116153135A (en) * | 2023-04-04 | 2023-05-23 | 湖南桅灯机器人有限公司 | Map navigation method and system applied to underground parking garage |
| CN116153135B (en) * | 2023-04-04 | 2023-10-20 | 湖南朗赫科技有限公司 | Map navigation method and system applied to underground parking garage |
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