CN113077181A - Parking station setting method, device, medium and electronic equipment - Google Patents

Parking station setting method, device, medium and electronic equipment Download PDF

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CN113077181A
CN113077181A CN202110437576.4A CN202110437576A CN113077181A CN 113077181 A CN113077181 A CN 113077181A CN 202110437576 A CN202110437576 A CN 202110437576A CN 113077181 A CN113077181 A CN 113077181A
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parking
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CN113077181B (en
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杨磊
曾荣俊
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Shanghai Junzheng Network Technology Co Ltd
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Abstract

The invention provides a parking station setting method, a device, a medium and electronic equipment, wherein the parking station setting method comprises the steps of obtaining a type area according to a selected area type; selecting a parking site setting area with respect to the type area; carrying out region division on the set region of the parking station according to a preset region division rule to obtain a plurality of unit regions; acquiring unit area information of each unit area; acquiring pre-estimated order data corresponding to each unit area according to the fitting relation between unit area information corresponding to the pre-stored area type and the order data; and according to a preset parking site setting rule, setting parking sites for unit areas with estimated order data larger than a preset order data threshold value. According to the parking station setting method, the parking station setting device, the parking station setting medium and the electronic equipment, the parking station setting area related to the specified area type can be reasonably set, and automation and intellectualization of parking station setting are realized.

Description

Parking station setting method, device, medium and electronic equipment
Technical Field
The present invention relates to the field of vehicle management, and in particular, to a method, an apparatus, a medium, and an electronic device for setting a parking station.
Background
With the development of technologies such as the internet, the internet of things, big data and the like, shared bicycles and shared moped which are raised in large and medium-sized cities all over the country are almost everywhere visible. Through the early stage that the vehicle can be parked in all cities, the standard parking station mode is gradually raised, and how to set the parking stations which are reasonably distributed is a very basic and important work in the standard parking mode.
For the construction of the parking station sharing a single vehicle or a moped at present, manual demarcation is mainly relied on, which plays an important role in the early service starting period, but with the continuous enlargement of the scale, the self defects are more prominent and are mainly embodied in the following three points: firstly, the scale of the quantity of cities is changed, and the efficiency of building stations by manpower cannot keep up with the change of the rhythm of the business; secondly, when a parking station is added to an area where the parking station is already set, the parking station cannot be added to the designated area under the condition that the parking station is not overlapped with the existing parking station; thirdly, when the type of the limited area is recommended, the judgment of the space range is fuzzy.
Generally, with the development of services, an automatic and customized parking site recommendation algorithm is urgently needed to respond to the development requirements of the services in time.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide a method, an apparatus, a medium and an electronic device for setting a parking station, which are used to solve the problem that the parking station cannot be intelligently set in the prior art.
To achieve the above and other related objects, the present invention provides a parking station setting method, including: acquiring a type area according to the selected area type; selecting a parking site setting area with respect to the type area; carrying out region division on the parking station setting region according to a preset region division rule to obtain a plurality of unit regions; acquiring unit area information of each unit area; acquiring pre-estimated order data corresponding to the unit area information of each unit area according to a pre-stored fitting relationship between the unit area information corresponding to the area type and the order data; and according to a preset parking site setting rule, setting parking sites for unit areas with the estimated order data larger than a preset order data threshold value.
In some embodiments, the fitting relationship between the unit area information corresponding to the area type and the order data is obtained by: acquiring a mature parking station setting area corresponding to the area type; performing area division on the set areas of the mature parking sites according to the preset area division rule to obtain a plurality of mature unit areas; acquiring unit area information of each mature unit area and historical order data in a preset time period; and acquiring the fitting relation between the unit area information corresponding to the area type and the order data according to the unit area information of each mature unit area and the historical order data in the preset time period.
In some embodiments, the parking stations selected according to the preset parking station setting rule are filtered according to existing parking stations already existing in the unit area, and the parking station setting is performed according to the filtered parking stations.
In some embodiments, the unit area information includes categories of POIs within the unit area and a number of POIs of each category and/or categories of AOIs within the unit area and a number of AOIs of each category.
In some embodiments, the step of setting parking stations for the unit area with the estimated order data greater than the preset order data threshold according to the preset parking station setting rule includes: acquiring a road network corresponding to a unit area of which the estimated order data is greater than a preset order data threshold; and arranging a parking station every a preset distance on the streets included in the road network.
In some embodiments, the step of selecting the parking spot setting area with respect to the type area includes: expanding operation of expanding a preset distance outwards by taking the edge of the type area as a center; an extension portion formed according to the extension operation is selected as the parking station setting area with respect to the type area.
In some embodiments, the parking lot setting method further includes expanding the parking lot setting area according to a preset expansion rule, and performing division of the unit area and setting of the parking lot on the expanded parking lot setting area.
In some embodiments, the region partitioning is performed using a geohash algorithm.
To achieve the above and other related objects, the present invention also provides a parking station setting apparatus, comprising: the type area acquisition module is used for acquiring a type area according to the selected area type; a stop setting area selection module for selecting a parking stop setting area with respect to the type area; the unit area dividing module is used for carrying out area division on the parking station setting area according to a preset area dividing rule so as to obtain a plurality of unit areas; a unit area information acquisition module for acquiring unit area information of each unit area; the order data pre-estimation module is used for acquiring pre-estimated order data corresponding to the unit area information of each unit area according to a pre-stored fitting relation between the unit area information corresponding to the area type and the order data; and the station setting module is used for setting the parking station for the unit area with the estimated order data larger than the preset order data threshold value according to the preset parking station setting rule.
To achieve the above and other related objects, the present invention also provides a computer-readable storage medium having stored thereon a computer program, which when executed by a processor, implements the parking station setting method as described in any one of the above.
To achieve the above and other related objects, the present invention also provides an electronic device, comprising: a processor and a memory; the memory is used for storing a computer program, and the processor is used for executing the computer program stored by the memory so as to enable the electronic equipment to execute the parking station setting method.
As described above, the present invention provides a method, an apparatus, a medium, and an electronic device for setting a parking station, wherein the method for setting a parking station includes obtaining a type area according to a selected area type; selecting a parking site setting area with respect to the type area; carrying out region division on the parking station setting region according to a preset region division rule to obtain a plurality of unit regions; acquiring unit area information of each unit area; acquiring pre-estimated order data corresponding to the unit area information of each unit area according to a pre-stored fitting relationship between the unit area information corresponding to the area type and the order data; and according to a preset parking site setting rule, setting parking sites for unit areas with the estimated order data larger than a preset order data threshold value. According to the parking station setting method, the parking station setting device, the parking station setting medium and the electronic equipment, the parking station setting area related to the specified area type can be reasonably set, and automation, intellectualization and customization of parking station setting are realized.
Drawings
Fig. 1 is a schematic flow chart of a parking station setting method according to an embodiment of the present invention.
FIG. 2 is a schematic diagram of a parking lot area according to an embodiment of the present invention
Fig. 3 is a diagram illustrating a result of region division according to an embodiment of the invention.
Fig. 4 is a schematic composition diagram of a parking station setting apparatus according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the drawings only show the components related to the present invention rather than the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
In real life, shared vehicles are more and more widely applied, parking spots of the shared vehicles are effectively arranged, and powerful support can be provided for popularization and application of the shared vehicles. In particular, reference is made to the following description of the embodiments.
Referring to fig. 1, a flow chart of a parking lot setting method according to an embodiment of the invention is shown.
The parking site setting method S100 includes:
s101: acquiring a type area according to the selected area type; the area types are, for example, types of hospitals, schools, parks and the like, and can be defined and adjusted according to actual conditions. The type region includes an AOI corresponding to the region type. The selection of the range of the type region may be adjusted according to actual conditions, for example, the AOI corresponding to the region type may be formed into the type region, or the AOI may be expanded outward to a certain extent to form the type region. The AOI (area of interest) may be a geographic range corresponding to a POI (Point of interest), where the POI is any meaningful Point on the map with non-geographic meaning: such as shops, bars, gas stations, hospitals and stations, etc. The introduction of the area type can realize the customization of the parking station setting area, namely, the parking station setting of different logic rules is carried out on the parking station setting areas of different area types.
For example, in a specific embodiment, the type area is a hospital type area, and the type area may be formed according to the AOI of the hospital type, or the type area may be formed after performing a certain outward expansion on the AOI of the hospital type.
S102: selecting a parking site setting area with respect to the type area;
specifically, in some embodiments, the step of selecting the parking spot setting area with respect to the type area includes:
expanding operation of expanding a preset distance outwards by taking the edge of the type area as a center; for example, 2000 meters outward centered on the edge of the type area.
An extension portion formed according to the extension operation is selected as the parking station setting area with respect to the type area.
Referring specifically to fig. 2, a schematic diagram of a parking lot setting area according to an embodiment of the invention is shown. The area 201 in fig. 2 corresponds to the type area, and in this embodiment, the type area is an AOI corresponding to the type of the area, for example, the area 201 is an area corresponding to a "zhongshan hospital", a geographic range of the AOI is a geographic range corresponding to the "zhongshan hospital", and an area corresponding to the area 202 is a parking station setting area related to the area 201. Fig. 2 is only a schematic illustration of the parking lot setting area and the type area, and in various specific applications, the outline of the type area and the parking lot setting area is not generally a regular graph but is related to the outline of the specific type area.
For example, after extending 2000 meters outward around the edge of the "Zhongshan Hospital", an area 202 corresponding to the geographical range of the "Zhongshan Hospital" is formed as a parking site setting area.
In other embodiments, the parking lot setting area may be expanded according to a preset expansion rule according to specific setting requirements, and the unit area division and the parking lot setting are performed on the expanded parking lot setting area, so that the setting of a parking lot in a wider range with respect to the type area may be satisfied. The preset expansion rule is, for example, to expand the parking station setting area in corresponding levels, and the expansion ranges corresponding to the levels are different, for example, to expand the parking station setting area in low level, that is, to expand the periphery of the parking station setting area by 500 meters. For example, the parking station setting area is expanded to a medium level, that is, the periphery of the parking station setting area is expanded by 1000 meters. For example, the parking station setting area is expanded at a high level, that is, the periphery of the parking station setting area is expanded by 1500 meters. In a specific application, whether the parking site setting area is expanded or not and what kind of level of expansion is performed on the parking site setting area can be judged according to the type and number of POIs included in the parking site setting area, for example, when the number of POIs of the shopping mall type in the parking site setting area is less than or equal to 2, medium level expansion is performed on the parking site setting area, so that more shopping malls are included in the expanded parking site setting area as much as possible, the utilization rate of vehicles is improved, and the setting of parking spots is optimized; and when the number of the POIs of the shopping mall types is less than or equal to 1, performing high-level expansion on the parking site setting area so as to enable the expanded parking site setting area to include more shopping malls, improving the utilization rate of vehicles and optimizing the setting of parking spots.
S103: carrying out region division on the parking station setting region according to a preset region division rule to obtain a plurality of unit regions;
in some embodiments, the region partitioning is performed using a geohash algorithm.
The geohash is an address code that can encode two-dimensional longitude and latitude into a one-dimensional character string. For example, the north sea park code is wx4g0ec 1.
The geohash has the following characteristics:
the geohash represents two coordinates of longitude and latitude by one character string. The data storage can be simplified to only one column for indexing.
The geohash represents not a point but a rectangular area. The user can issue the address code, which can indicate the approximate position of the user and prevent the accurate coordinate of the user from being exposed, thereby being beneficial to privacy protection.
The geohash encoded prefix may represent a larger area. For example wx4g0ec1, whose prefix wx4g0e indicates a larger range that contains the code wx4g0ec 1. This feature can be used for nearby location searching.
The geohash is a method of encoding geographical coordinates that maps two-dimensional coordinates into a string of characters. Each string represents a particular rectangle, and all coordinates within the rectangle share the string. The longer the character string, the higher the precision, the smaller the corresponding rectangular range. When a geographical coordinate is encoded, the target longitude and latitude are calculated according to the initial interval ranges latitude-90, 90 and longitude-180, and respectively fall into the left interval or the right interval. If the interval falls in the left interval, 0 is taken, and if the interval falls in the right interval, 1 is taken. Then, the interval obtained in the last step is continuously searched for half according to the method to obtain the next binary code. And after the code length meets the requirement of the service progress, the obtained binary codes are alternately combined according to the rules of 'longitude on even-numbered bits and latitude on odd-numbered bits' to obtain a new binary string. And finally, translating the binary string into a character string according to a comparison table of base32, namely obtaining a target geohash character string corresponding to the geographic coordinate.
Fig. 3 is a schematic diagram showing a result of region division according to an embodiment of the present invention. As shown in fig. 3, the area 202 is divided into a plurality of unit areas 203 having the same range size as shown in fig. 3. And subsequently the setting of the parking station is performed in units of each unit area.
S104: acquiring unit area information of each unit area; that is, the category of the POI included in each unit area and the number of POIs in each category and/or the category of the AOI included in each unit area and the number of AOI in each category are obtained, for example, POIs in two categories including a restaurant and a barber shop in a certain unit area are obtained, where the number of POIs in the category of the restaurant is 3, and the number of POIs in the category of the barber shop is 1.
S105: acquiring pre-estimated order data corresponding to the unit area information of each unit area according to a pre-stored fitting relationship between the unit area information corresponding to the area type and the order data;
in a specific application, a fitting relationship between unit area information corresponding to the area type and order data needs to be obtained in advance, and the fitting relationship is stored.
The fitting relationships corresponding to different types of areas are different, for example, order data corresponding to restaurants around the school type area and restaurants around the hospital type area have different rules, and since the fitting relationships between unit area information corresponding to different area types and the order data are different, the estimated order data corresponding to the unit area obtained subsequently according to the fitting relationships are different, and the operation of selecting the designated unit area to set the parking station according to the estimated order data is also different. The invention realizes the customization of the parking station setting area, namely, the parking station setting of different logic rules is carried out on the parking station setting areas of different area types.
Wherein the order data may include a number of orders generated for the moped and/or bicycle within the unit area. Or the order data further includes the number of users who generated the order in the unit area. For example, in an embodiment, if the order data is the amount of orders, the estimated amount of orders corresponding to the unit area information of each unit area is obtained according to the fitting relationship between the unit area information corresponding to the area type and the amount of orders stored in advance, and then the parking station setting is performed on the unit area where the estimated number of orders is greater than the preset amount of orders threshold according to the preset parking station setting rule. For example, in a specific embodiment, if the order data is the number of users, an estimated number of users corresponding to the unit area information of each unit area is obtained according to a fitting relationship between unit area information corresponding to the area type and the number of users, which are stored in advance, and then a parking stop setting is performed on a unit area in which the estimated number of users is greater than a preset user number threshold according to a preset parking stop setting rule. For example, in a specific embodiment, if the order data is the order number and the number of users, the estimated order number and the estimated number of users corresponding to the unit area information of each unit area are obtained according to the fitting relationship between the unit area information corresponding to the pre-stored area type and the order number and the number of users, and then the parking station is set for the unit area where the estimated order number is greater than the preset order number threshold value and the estimated number of users is greater than the preset number of users according to the preset parking station setting rule.
In some embodiments, the fitting relationship between the unit area information corresponding to the area type and the order data is obtained by:
the method comprises the following steps: and acquiring a mature parking station setting area corresponding to the area type. For example, when the parking station already existing in the parking station setting area corresponding to the area type is greater than a mature station setting threshold, or the order data of the parking station setting area related to the area type in a specified time period is greater than a mature station order data threshold, it is determined that the parking station setting area is a mature parking station setting area. The selection of the mature parking lot setting area may also take into account other parameters such as feedback advice of the user and the like, for example, advice that the user has not received about adding a parking lot within a certain period of time (e.g., within 6 months).
Step two: and carrying out region division on the set regions of the mature parking sites according to the preset region division rule to obtain a plurality of mature unit regions.
Step three: acquiring unit area information of each mature unit area and historical order data in a preset time period;
step four: and acquiring the fitting relation between the unit area information corresponding to the area type and the order data according to the unit area information of each mature unit area and the historical order data in the preset time period.
In a specific embodiment, the unit area information corresponding to the mature unit area includes the category of the POI included in the mature unit area and the number corresponding to the POI of each category and/or the category of the AOI included in the mature unit area and the number corresponding to the AOI of each category. For example, in some embodiments, the unit area information corresponding to the mature unit area is POI information in the mature unit area, where the POI information includes categories of POIs and the number of POIs in each category, and then the fitting relationship between the POIs and the order data is obtained according to the POI in each category and the number of POIs in each category included in each mature unit area in the mature parking lot setting area, and the order data corresponding to each mature unit area in a period of time, that is, the fitting relationship between the unit area information and the order data is obtained. Specifically, the obtained number of each category of POI and each category of POI included in each mature unit area in the mature parking site setting area, and the order data corresponding to each mature unit area within a period of time may be obtained according to a logistic regression algorithm to obtain a fitting relationship between the POI and the order data, that is, to obtain a fitting relationship between the POI information of the unit area and the order data. The logistic regression algorithm is a classification learning method. Logistic Regression (LR), also known as Logistic Regression analysis, is one of classification and prediction algorithms. And predicting the probability of the future result occurrence through the representation of the historical data. For example, we can set the probability of purchase as a dependent variable and set the user's characteristic attributes, such as gender, age, registration time, etc., as independent variables. And predicting the probability of purchase according to the characteristic attribute.
Regression analysis is used to describe the relationship between the independent variable X and the dependent variable Y, or the degree of influence of the independent variable X on the dependent variable Y, and predict the dependent variable Y. The dependent variable is the result that we want to obtain, the independent variable is the potential factor that affects the result, and there may be one or more independent variables. One independent variable is called a univariate regression analysis, and more than one independent variable is called a multivariate regression analysis.
For example, in some embodiments, a mature parking lot setting area corresponding to this area type of hospital includes 3 mature unit areas, and the number of orders in the previous month of each mature unit area in the mature parking lot setting area is analyzed as the order data. The 3 mature unit areas are a first mature unit area, a second mature unit area and a third mature unit area, respectively, wherein the first mature unit area includes POIs of 3 restaurant categories, POIs of 2 barber shop categories, POIs of 0 car service category and POIs of 0 shopping mall category, the second mature unit area includes POIs of 5 restaurant categories, POIs of 1 barber shop category, POIs of 2 car service categories and POIs of 0 shopping mall category, the third mature unit area includes POIs of 1 restaurant category, POIs of 0 barber shop category, POIs of 0 car service category and POIs of 2 shopping mall categories, and the order data generated in the past month of the first mature unit area is 12 sheets, the order data generated in the past month of the second mature unit area is 28 sheets, and the order data generated in the past month of the third mature unit area is 58 sheets, for example, the order data threshold is set to 25, then the order data corresponding to the POI information in the first mature unit area is smaller than the order data threshold, the order data corresponding to the POI information in the second mature unit area is larger than the order data threshold, and the order data corresponding to the POI information in the third mature unit area is larger than the order data threshold. And in practical application, the number of the mature unit areas corresponding to each area type is huge, and a large amount of order data generated in each category of POI and mature unit area corresponding to the mature unit area are analyzed based on the big data, so that a relatively accurate correlation between each category of POI and the order data can be obtained, and the order data in a specified time period corresponding to each unit area can be estimated relatively accurately according to each category of POI included in a new unit area and the number of each category of POI. Specifically, the classification of the order data of the unit area known by the POI information may be predicted according to a logistic regression algorithm, that is, it is determined that the order data of the unit area known by the POI information is greater than a preset order data threshold, or the order data of the unit area is less than or equal to the preset order data threshold. In this embodiment, the independent variables X include four POIs, which are a restaurant category POI, a barbershop category POI, a car service category POI and a shopping mall category POI, respectively, and the dependent variable Y includes two POIs, which are respectively that order data is greater than a preset order data threshold and order data is less than or equal to the preset order data threshold.
S106: and according to a preset parking site setting rule, setting parking sites for unit areas with the estimated order data larger than a preset order data threshold value.
In some embodiments, the step of setting parking stations for the unit area with the estimated order data greater than the preset order data threshold according to the preset parking station setting rule includes:
acquiring a road network corresponding to a unit area of which the estimated order data is greater than a preset order data threshold;
and arranging a parking station every a preset distance on the streets included in the road network. For example, every 100 meters of streets included in the road network are provided with a parking site.
In other embodiments, in order to optimize the arrangement of the parking stations, the density of the parking stations arranged in each unit area may be adjusted according to the estimated order data of each unit area, for example, every 200 meters of the unit areas with the estimated order data larger than the first threshold value and smaller than the second threshold value. And setting a parking station for each 100 m unit area with the estimated order data larger than the second threshold value. Wherein the second threshold is greater than the first threshold. The parking stations with higher density are arranged in the unit area with larger estimated order data, so that the use and parking requirements of the vehicle can be better met.
Since the setting of the parking stations does not consider whether parking stations exist in a unit area, in some embodiments, in order to prevent the repeated setting of the parking stations, the parking stations selected according to the preset parking station setting rule may be filtered according to existing parking stations existing in the unit area, and the parking stations are set according to the filtered parking stations, so that the repeated setting of subsequent parking stations is prevented, and the setting of the parking stations is optimized.
In practical applications, each operator sharing a single vehicle has a certain operation area, and the position beyond the operation area of the operator is not considered to be the parking site setting, so in a specific embodiment of the present invention, the unit area is further filtered according to a preset operation area, that is, the parking site setting is not performed on the unit area beyond the preset operation area.
The method for setting the parking station can reasonably set the parking station in the parking station setting area related to the designated area type, and realizes automation and intellectualization of the parking station setting.
Referring to fig. 4, fig. 4 is a schematic composition diagram of a parking station setting apparatus according to an embodiment of the present invention. The parking station setting device 300 includes a type area acquisition module 301, a station setting area selection module 302, a unit area division module 303, a unit area information acquisition module 304, an order data estimation module 305, and a station setting module 306.
The type area obtaining module 301 is configured to obtain a type area according to the selected area type;
the stop setting area selection module 302 to select a parking stop setting area with respect to the type area;
the unit area dividing module 303 is configured to perform area division on the parking station setting area according to a preset area dividing rule to obtain a plurality of unit areas; the region division is performed, for example, using a geohash algorithm.
The unit area information acquiring module 304 is configured to acquire unit area information of each unit area;
the order data estimation module 305 is configured to obtain estimated order data corresponding to unit area information of each unit area according to a fitting relationship between the unit area information corresponding to the area type and the order data stored in advance; in some embodiments, the unit area information includes categories of POIs within the unit area and a number of POIs of each category and/or categories of AOIs within the unit area and a number of AOIs of each category.
The station setting module 306 is configured to perform parking station setting on the unit area where the estimated order data is greater than the preset order data threshold according to a preset parking station setting rule.
In some embodiments, the method further includes a fitting relationship obtaining module, configured to obtain a fitting relationship between unit area information corresponding to the area type and order data, specifically:
acquiring a mature parking station setting area corresponding to the area type;
performing area division on the set areas of the mature parking sites according to the preset area division rule to obtain a plurality of mature unit areas;
acquiring unit area information of each mature unit area and historical order data in a preset time period;
and acquiring the fitting relation between the unit area information corresponding to the area type and the order data according to the unit area information of each mature unit area and the historical order data in the preset time period.
In some embodiments, the parking station setting device 300 is further configured to filter parking stations selected according to the preset parking station setting rule according to existing parking stations already existing in the unit area, and perform parking station setting according to the filtered parking stations.
In some embodiments, the parking site setting device 300 is further configured to filter the unit area according to a preset operation area.
In some embodiments, the step of the station setting module 306 performing parking station setting on the unit area where the estimated order data is greater than the preset order data threshold according to the preset parking station setting rule includes:
acquiring a road network corresponding to a unit area of which the estimated order data is greater than a preset order data threshold;
and arranging a parking station every a preset distance on the streets included in the road network.
In some embodiments, the step of selecting the parking spot setting area with respect to the type area includes:
expanding operation of expanding a preset distance outwards by taking the edge of the type area as a center;
an extension portion formed according to the extension operation is selected as the parking station setting area with respect to the type area.
The parking station setting device 300 is further configured to expand the parking station setting area according to a preset expansion rule, and divide the unit area and set the parking station for the expanded parking station setting area.
The parking station setting device 300 is a device item corresponding to the parking station setting method S100, and both technical solutions correspond to each other, and all descriptions about the parking station setting method S100 can be applied to the embodiment corresponding to the parking station setting device 300, which is not described herein again.
In an embodiment of the present invention, a computer-readable storage medium is further provided, on which a computer program is stored, and the computer program, when executed by a processor, implements the parking station setting method S100, and the parking station setting method S100 is described with reference to fig. 1 and the related description related to fig. 1.
In an embodiment of the present invention, there is also provided an electronic device, including: a processor and a memory;
the memory is configured to store a computer program, and the processor is configured to execute the computer program stored in the memory, so as to enable the electronic device to execute the parking station setting method S100, where the parking station setting method S100 is described with reference to fig. 1 and the related description related to fig. 1.
Such as portable electronic devices including, but not limited to, hand-held computers, tablet computers, mobile phones, smart phones, media players, Personal Digital Assistants (PDAs), etc., it is to be understood that the portable electronic device described in the embodiments herein is but one example of an application and that the components of the device may have more or fewer components than shown, or a different configuration of components. The various components of the depicted figures may be implemented in hardware, software, or a combination of hardware and software, including one or more signal processing and/or application specific integrated circuits.
The electronic device includes memory, a memory controller, one or more processors (CPUs), a peripheral interface, RF circuitry, audio circuitry, speakers, a microphone, an input/output (I/O) subsystem, a touch screen, other output or control devices, and an external port. These components communicate over one or more communication buses or signal lines. The electronic device also includes a power system for powering the various components. The power system may include a power management system, one or more power sources (e.g., battery, Alternating Current (AC)), a charging system, power failure detection circuitry, a power converter or inverter, a power status indicator (e.g., Light Emitting Diode (LED)), and any other components associated with power generation, management, and distribution in a portable device.
The electronic device supports various applications, such as one or more of: a mapping application, a rendering application, a word processing application, a website creation application, a disc editing application, a spreadsheet application, a gaming application, a telephone application, a video conferencing application, an email application, an instant messaging application, a fitness support application, a photo management application, a digital camera application, a digital video camera application, a web browsing application, a digital music player application, and/or a digital video player application.
In summary, the present invention provides a method, an apparatus, a medium, and an electronic device for setting a parking station, where the method includes obtaining a type area according to a selected area type; selecting a parking site setting area with respect to the type area; carrying out region division on the parking station setting region according to a preset region division rule to obtain a plurality of unit regions; acquiring unit area information of each unit area; acquiring pre-estimated order data corresponding to the unit area information of each unit area according to a pre-stored fitting relationship between the unit area information corresponding to the area type and the order data; and according to a preset parking site setting rule, setting parking sites for unit areas with the estimated order data larger than a preset order data threshold value. According to the parking station setting method, the parking station setting device, the parking station setting medium and the electronic equipment, the parking station setting area related to the specified area type can be reasonably set, and automation, intellectualization and customization of parking station setting are realized. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.

Claims (11)

1. A parking station setting method, characterized by comprising:
acquiring a type area according to the selected area type;
selecting a parking site setting area with respect to the type area;
carrying out region division on the parking station setting region according to a preset region division rule to obtain a plurality of unit regions;
acquiring unit area information of each unit area;
acquiring pre-estimated order data corresponding to the unit area information of each unit area according to a pre-stored fitting relationship between the unit area information corresponding to the area type and the order data;
and according to a preset parking site setting rule, setting parking sites for unit areas with the estimated order data larger than a preset order data threshold value.
2. The parking site setting method according to claim 1, wherein the fitting relationship between the unit area information corresponding to the area type and the order data is obtained by:
acquiring a mature parking station setting area corresponding to the area type;
performing area division on the set areas of the mature parking sites according to the preset area division rule to obtain a plurality of mature unit areas;
acquiring unit area information of each mature unit area and historical order data in a preset time period;
and acquiring the fitting relation between the unit area information corresponding to the area type and the order data according to the unit area information of each mature unit area and the historical order data in the preset time period.
3. The parking site setting method according to claim 1, wherein the parking sites selected according to the preset parking site setting rule are filtered according to existing parking sites already existing in the unit area, and the parking site setting is performed according to the filtered parking sites.
4. The parking site setting method according to claim 1, wherein the unit area information includes a category of POI in the unit area and a number corresponding to POI of each category and/or a category of AOI in the unit area and a number corresponding to AOI of each category.
5. The parking station setting method according to claim 1, wherein the step of performing parking station setting for the unit area where the estimated order data is larger than the preset order data threshold value according to the preset parking station setting rule includes:
acquiring a road network corresponding to a unit area of which the estimated order data is greater than a preset order data threshold;
and arranging a parking station every a preset distance on the streets included in the road network.
6. The parking site setting method according to claim 1, wherein the step of selecting the parking site setting area with respect to the type area comprises:
expanding operation of expanding a preset distance outwards by taking the edge of the type area as a center;
an extension portion formed according to the extension operation is selected as the parking station setting area with respect to the type area.
7. The parking site setting method according to claim 1, further comprising expanding the parking site setting area according to a preset expansion rule, and performing division of the unit area and setting of a parking site for the expanded parking site setting area.
8. The parking site setting method according to claim 1,
and carrying out the region division by adopting a geohash algorithm.
9. A parking site setting apparatus characterized by comprising:
the type area acquisition module is used for acquiring a type area according to the selected area type;
a stop setting area selection module for selecting a parking stop setting area with respect to the type area;
the unit area dividing module is used for carrying out area division on the parking station setting area according to a preset area dividing rule so as to obtain a plurality of unit areas;
a unit area information acquisition module for acquiring unit area information of each unit area;
the order data pre-estimation module is used for acquiring pre-estimated order data corresponding to the unit area information of each unit area according to a pre-stored fitting relation between the unit area information corresponding to the area type and the order data;
and the station setting module is used for setting the parking station for the unit area with the estimated order data larger than the preset order data threshold value according to the preset parking station setting rule.
10. A computer-readable storage medium on which a computer program is stored, the program implementing the parking site setting method according to any one of claims 1 to 8 when executed by a processor.
11. An electronic device, comprising: a processor and a memory;
the memory is configured to store a computer program, and the processor is configured to execute the computer program stored in the memory to cause the electronic device to perform the parking station setting method according to any one of claims 1 to 8.
CN202110437576.4A 2021-04-22 2021-04-22 Parking station setting method, device, medium and electronic equipment Active CN113077181B (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114462892A (en) * 2022-04-09 2022-05-10 北京阿帕科蓝科技有限公司 Method and system for recommending station based on inflow and outflow of vehicles
CN114565147A (en) * 2022-02-23 2022-05-31 北京阿帕科蓝科技有限公司 Method for automatically creating station
CN114677048A (en) * 2022-04-22 2022-06-28 北京阿帕科蓝科技有限公司 Demand area mining method
CN114722308A (en) * 2022-03-24 2022-07-08 北京阿帕科蓝科技有限公司 Method, system and computer readable storage medium for creating site block

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106127329A (en) * 2016-06-16 2016-11-16 北京航空航天大学 Order forecast method and device
CN106384250A (en) * 2016-09-13 2017-02-08 百度在线网络技术(北京)有限公司 Site selection method and device
CN108830504A (en) * 2018-06-28 2018-11-16 清华大学 With vehicle needing forecasting method, system, server and computer storage medium
CN109934508A (en) * 2019-03-21 2019-06-25 深圳市丰巢科技有限公司 Cabinet-type air conditioner site selecting method, device, server and storage medium based on big data
CN110378522A (en) * 2019-07-02 2019-10-25 北京三快在线科技有限公司 Method, apparatus, storage medium and the electronic equipment of prediction dispatching status information
CN111091417A (en) * 2019-12-12 2020-05-01 拉扎斯网络科技(上海)有限公司 Site selection method and device
CN111815096A (en) * 2019-07-31 2020-10-23 北京嘀嘀无限科技发展有限公司 Shared automobile delivery method, electronic device and storage medium
CN111862577A (en) * 2019-05-21 2020-10-30 北京骑胜科技有限公司 Method, system, device and storage medium for determining parking area state
CN111932302A (en) * 2020-07-31 2020-11-13 中国工商银行股份有限公司 Method, device, equipment and system for determining number of service sites in area
CN111932123A (en) * 2020-08-11 2020-11-13 上海钧正网络科技有限公司 Method, device and system for selecting shared vehicle station based on flow direction
CN112069635A (en) * 2020-09-01 2020-12-11 上海钧正网络科技有限公司 Battery replacement cabinet deployment method, device, medium and electronic equipment
CN112258029A (en) * 2020-10-21 2021-01-22 北京交通大学 Demand prediction method for shared bicycle around subway station
CN112541624A (en) * 2020-12-03 2021-03-23 中邮信息科技(北京)有限公司 Site selection method, device, medium and electronic equipment for cable casting network points

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106127329A (en) * 2016-06-16 2016-11-16 北京航空航天大学 Order forecast method and device
CN106384250A (en) * 2016-09-13 2017-02-08 百度在线网络技术(北京)有限公司 Site selection method and device
CN108830504A (en) * 2018-06-28 2018-11-16 清华大学 With vehicle needing forecasting method, system, server and computer storage medium
CN109934508A (en) * 2019-03-21 2019-06-25 深圳市丰巢科技有限公司 Cabinet-type air conditioner site selecting method, device, server and storage medium based on big data
CN111862577A (en) * 2019-05-21 2020-10-30 北京骑胜科技有限公司 Method, system, device and storage medium for determining parking area state
CN110378522A (en) * 2019-07-02 2019-10-25 北京三快在线科技有限公司 Method, apparatus, storage medium and the electronic equipment of prediction dispatching status information
CN111815096A (en) * 2019-07-31 2020-10-23 北京嘀嘀无限科技发展有限公司 Shared automobile delivery method, electronic device and storage medium
CN111091417A (en) * 2019-12-12 2020-05-01 拉扎斯网络科技(上海)有限公司 Site selection method and device
CN111932302A (en) * 2020-07-31 2020-11-13 中国工商银行股份有限公司 Method, device, equipment and system for determining number of service sites in area
CN111932123A (en) * 2020-08-11 2020-11-13 上海钧正网络科技有限公司 Method, device and system for selecting shared vehicle station based on flow direction
CN112069635A (en) * 2020-09-01 2020-12-11 上海钧正网络科技有限公司 Battery replacement cabinet deployment method, device, medium and electronic equipment
CN112258029A (en) * 2020-10-21 2021-01-22 北京交通大学 Demand prediction method for shared bicycle around subway station
CN112541624A (en) * 2020-12-03 2021-03-23 中邮信息科技(北京)有限公司 Site selection method, device, medium and electronic equipment for cable casting network points

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
孙艺玲DENG: "共享单车出行动力机制研究及智能停放点规划", 《中国会议》 *
黄伊萍等: "城市共享单车停放点选址研究——以深圳市高新园区为例", 《城市交通》 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114565147A (en) * 2022-02-23 2022-05-31 北京阿帕科蓝科技有限公司 Method for automatically creating station
CN114565147B (en) * 2022-02-23 2023-12-26 北京阿帕科蓝科技有限公司 Method for automatically creating station
CN114722308A (en) * 2022-03-24 2022-07-08 北京阿帕科蓝科技有限公司 Method, system and computer readable storage medium for creating site block
CN114462892A (en) * 2022-04-09 2022-05-10 北京阿帕科蓝科技有限公司 Method and system for recommending station based on inflow and outflow of vehicles
CN114462892B (en) * 2022-04-09 2022-07-08 北京阿帕科蓝科技有限公司 Method and system for recommending station based on inflow and outflow of vehicles
CN114677048A (en) * 2022-04-22 2022-06-28 北京阿帕科蓝科技有限公司 Demand area mining method
CN114677048B (en) * 2022-04-22 2024-01-16 北京阿帕科蓝科技有限公司 Method for excavating demand area

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