CN113327333A - Parking space reservation price dynamic adjustment method and device - Google Patents
Parking space reservation price dynamic adjustment method and device Download PDFInfo
- Publication number
- CN113327333A CN113327333A CN202110377275.7A CN202110377275A CN113327333A CN 113327333 A CN113327333 A CN 113327333A CN 202110377275 A CN202110377275 A CN 202110377275A CN 113327333 A CN113327333 A CN 113327333A
- Authority
- CN
- China
- Prior art keywords
- parking space
- time period
- adjusted
- value
- reserved
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
- G07B15/02—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/02—Reservations, e.g. for tickets, services or events
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0206—Price or cost determination based on market factors
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Human Resources & Organizations (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Finance (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Accounting & Taxation (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Data Mining & Analysis (AREA)
- Educational Administration (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a parking space reservation price dynamic adjustment method, medium, equipment and device, wherein the method comprises the following steps: acquiring a time period to be adjusted, calculating a corresponding time period value according to the time period to be adjusted, and counting the total value of the parking spaces which can be reserved in the area; acquiring historical parking space reservation information of an area, and calculating an order parameter value of the area where a target parking space is located; calculating an appointment success rate parameter value according to the historical appointment information of the parking space; calculating the reservation price of the target parking space in the time period to be adjusted according to the time period value, the weight corresponding to the time period value, the total value of the reserved parking spaces in the region, the weight corresponding to the total value of the reserved parking spaces in the region, the order parameter value, the weight corresponding to the order parameter value, the reservation success rate parameter value and the weight corresponding to the reservation success rate parameter value; can carry out dynamic adjustment to the reservation price in parking stall automatically to make the reservation price can laminate in the actual value in parking stall more accurately, ensure parking area operator's benefit of cutting one's body.
Description
Technical Field
The present invention relates to the field of parking lot management technologies, and in particular, to a method for dynamically adjusting a reserved price of a parking space, a computer-readable storage medium, a computer device, and a device for dynamically adjusting a reserved price of a parking space.
Background
Along with the development of economy, the living standard of residents is continuously improved, and the keeping quantity of urban cars is greatly improved. Therefore, the problem of insufficient supply of parking facilities is also increasingly highlighted. Under the environment, more and more car owners are willing to spend the price higher than the normal parking fee to reserve the parking space in advance so as to improve the travel experience.
In the related art, when parking space reservation service is performed, a parking reservation price of a parking lot or a parking space is determined through an administrator according to management experience; whether pricing in this manner is reasonable or not depends entirely on judgment of management personnel; with strong uncertainty, it is easy to cause loss to the parking lot operator due to too low or too high pricing.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the art described above. Therefore, an object of the present invention is to provide a method for dynamically adjusting a reserved price of a parking space, which can automatically and dynamically adjust the reserved price of the parking space, so that the reserved price can be more accurately fitted to an actual value of the parking space, and the vital benefit of a parking lot operator is ensured.
A second object of the invention is to propose a computer-readable storage medium.
A third object of the invention is to propose a computer device.
The fourth objective of the present invention is to provide a parking space reservation price dynamic adjustment device.
In order to achieve the above object, an embodiment of a first aspect of the present invention provides a method for dynamically adjusting a parking space reservation price, including the following steps: acquiring the position information of each parking space, and performing region division on a plurality of parking spaces according to the position information; acquiring a time period to be adjusted, calculating a corresponding time period value according to the time period to be adjusted, and counting the total value of the reserved parking space in the area where the target parking space is located according to the time period to be adjusted; acquiring historical parking space reservation information of an area where a target parking space is located, and calculating an order parameter value of the area where the target parking space is located according to the time period to be adjusted and the historical parking space reservation information; calculating an appointment success rate parameter value of the target parking space according to the historical parking space appointment information; and calculating the reserved price of the target parking space in the time period to be adjusted according to the time period value, the weight corresponding to the time period value, the total value of the reserved parking spaces in the region, the weight corresponding to the total value of the reserved parking spaces in the region, the order parameter value, the weight corresponding to the order parameter value, the reserved success rate parameter value and the weight corresponding to the reserved success rate parameter value.
According to the parking space reservation price dynamic adjusting method provided by the embodiment of the invention, firstly, the position information of each parking space is obtained, and the plurality of parking spaces are divided into areas according to the position information; then, acquiring a time period to be adjusted, calculating a corresponding time period value according to the time period to be adjusted, and counting the total value of the reserved parking space in the area where the target parking space is located according to the time period to be adjusted; then, acquiring historical parking space reservation information of an area where a target parking space is located, and calculating an order parameter value of the area where the target parking space is located according to the time period to be adjusted and the historical parking space reservation information; then, calculating an appointment success rate parameter value of the target parking space according to the historical appointment information of the parking space; then, calculating the reserved price of the target parking space in the time period to be adjusted according to the time period value, the weight corresponding to the time period value, the total value of the reserved parking spaces in the region, the weight corresponding to the total value of the reserved parking spaces in the region, the order parameter value, the weight corresponding to the order parameter value, the reserved success rate parameter value and the weight corresponding to the reserved success rate parameter value; thereby realize carrying out dynamic adjustment to the reservation price in parking stall automatically to make the reservation price can laminate in the actual value in parking stall more accurately, ensure parking area operator's benefit of cutting one's body.
In addition, the parking space reservation price dynamic adjustment method provided by the above embodiment of the present invention may further have the following additional technical features:
optionally, the order parameter values include long term order parameter values and short term order parameter values.
Optionally, calculating an order parameter value of an area where a target parking space is located according to the time period to be adjusted and the parking space historical reservation information, where the calculating includes: acquiring historical order information which is in the same time period as the time period to be adjusted in the parking space historical reservation information according to the time period to be adjusted, and calculating long-term order parameters according to the historical order information which is in the same time period as the time period to be adjusted; and acquiring historical order information of a previous time period of the time period to be adjusted in the historical reservation information according to the time period to be adjusted, and calculating short-term order parameters according to the historical order information of the previous time period.
Optionally, the method further comprises: judging whether the reserved price is in a preset adjustable interval or not; if so, adjusting the parking reservation price of the target parking in the time period to be adjusted according to the reservation price; and if not, generating alarm information and sending the alarm information to related personnel so that the related personnel can process the alarm information.
Optionally, the total value of the reserved parking spaces in the region is inversely related to the weight corresponding to the total value of the reserved parking spaces in the region.
Optionally, the order parameter value is in positive correlation with the weight corresponding to the order parameter value.
In order to achieve the above object, a second aspect of the present invention provides a computer-readable storage medium, on which a parking space reservation price dynamic adjustment program is stored, which when executed by a processor implements the parking space reservation price dynamic adjustment method as described above.
According to the computer-readable storage medium of the embodiment of the invention, the parking space reservation price dynamic adjustment program is stored, so that the processor realizes the above parking space reservation price dynamic adjustment method when executing the parking space reservation price dynamic adjustment program, thereby realizing automatic dynamic adjustment of the reservation price of the parking space, enabling the reservation price to be more accurately attached to the actual value of the parking space, and ensuring the vital interests of a parking lot operator.
In order to achieve the above object, a third embodiment of the present invention provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the parking space reservation price dynamic adjustment method as described above is implemented.
According to the computer equipment provided by the embodiment of the invention, the storage device is used for storing the parking space reservation price dynamic adjusting program, so that the processor can realize the parking space reservation price dynamic adjusting method when executing the parking space reservation price dynamic adjusting program, thereby realizing automatic dynamic adjustment of the parking space reservation price, enabling the reservation price to be more accurately attached to the actual value of the parking space, and ensuring the vital interests of a parking lot operator.
In order to achieve the above object, a fourth aspect of the present invention provides a parking space reservation price dynamic adjustment apparatus, including: the dividing module is used for acquiring the position information of each parking space and dividing the plurality of parking spaces into areas according to the position information; the first calculation module is used for acquiring a time period to be adjusted, calculating a corresponding time period value according to the time period to be adjusted, and counting the total value of the reserved parking spaces in the region where the target parking space is located according to the time period to be adjusted; the second calculation module is used for acquiring the parking space historical reservation information of the area where the target parking space is located and calculating the order parameter value of the area where the target parking space is located according to the time period to be adjusted and the parking space historical reservation information; the third calculation module is used for calculating an appointment success rate parameter value of the target parking space according to the historical appointment information of the parking space; and the adjusting module is used for calculating the reserved price of the target parking space in the time period to be adjusted according to the time period value, the weight corresponding to the time period value, the total value of the reserved parking spaces in the region, the weight corresponding to the total value of the reserved parking spaces in the region, the order parameter value, the weight corresponding to the order parameter value, the reserved success rate parameter value and the weight corresponding to the reserved success rate parameter value.
According to the parking space reservation price dynamic adjusting device provided by the embodiment of the invention, the setting and dividing module is used for acquiring the position information of each parking space and carrying out region division on a plurality of parking spaces according to the position information; the first calculation module is used for acquiring a time period to be adjusted, calculating a corresponding time period value according to the time period to be adjusted, and counting the total value of the reserved parking spaces in the region where the target parking space is located according to the time period to be adjusted; the second calculation module is used for acquiring the parking space historical reservation information of the area where the target parking space is located and calculating the order parameter value of the area where the target parking space is located according to the time period to be adjusted and the parking space historical reservation information; the third calculating module is used for calculating an appointment success rate parameter value of the target parking space according to the historical appointment information of the parking space; the adjusting module is used for calculating the reserved price of the target parking space in the time period to be adjusted according to the time period value, the weight corresponding to the time period value, the total value of the reserved parking spaces in the region, the weight corresponding to the total value of the reserved parking spaces in the region, the order parameter value, the weight corresponding to the order parameter value, the reserved success rate parameter value and the weight corresponding to the reserved success rate parameter value; thereby realize carrying out dynamic adjustment to the reservation price in parking stall automatically to make the reservation price can laminate in the actual value in parking stall more accurately, ensure parking area operator's benefit of cutting one's body.
In addition, the parking space reservation price dynamic adjustment device provided by the above embodiment of the present invention may further have the following additional technical features:
optionally, the order parameter values include long term order parameter values and short term order parameter values.
Drawings
Fig. 1 is a schematic flow chart illustrating a method for dynamically adjusting a parking space reservation price according to an embodiment of the present invention;
fig. 2 is a block diagram of a parking space reservation price dynamic adjustment apparatus according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
In the related art, when parking space reservation service is performed, a parking reservation price of a parking lot or a parking space is determined through an administrator according to management experience; whether pricing in this manner is reasonable or not depends entirely on judgment of management personnel; the method has strong uncertainty, and is easy to cause the loss of a parking lot operator due to too low or too high pricing; according to the parking space reservation price dynamic adjusting method provided by the embodiment of the invention, firstly, the position information of each parking space is obtained, and the plurality of parking spaces are divided into areas according to the position information; then, acquiring a time period to be adjusted, calculating a corresponding time period value according to the time period to be adjusted, and counting the total value of the reserved parking space in the area where the target parking space is located according to the time period to be adjusted; then, acquiring historical parking space reservation information of an area where a target parking space is located, and calculating an order parameter value of the area where the target parking space is located according to the time period to be adjusted and the historical parking space reservation information; then, calculating an appointment success rate parameter value of the target parking space according to the historical appointment information of the parking space; then, calculating the reserved price of the target parking space in the time period to be adjusted according to the time period value, the weight corresponding to the time period value, the total value of the reserved parking spaces in the region, the weight corresponding to the total value of the reserved parking spaces in the region, the order parameter value, the weight corresponding to the order parameter value, the reserved success rate parameter value and the weight corresponding to the reserved success rate parameter value; thereby realize carrying out dynamic adjustment to the reservation price in parking stall automatically to make the reservation price can laminate in the actual value in parking stall more accurately, ensure parking area operator's benefit of cutting one's body.
In order to better understand the above technical solutions, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.
Fig. 1 is a schematic flow chart of a parking space reservation price dynamic adjustment method according to an embodiment of the present invention, and as shown in fig. 1, the parking space reservation price dynamic adjustment method includes the following steps:
s101, acquiring the position information of each parking space, and performing area division on the parking spaces according to the position information.
As an example, first, administrative area map information is acquired; then, dividing administrative regions according to geographic positions (for example, dividing administrative regions according to streets and community administration regions); acquiring positioning information corresponding to each parking space; therefore, the parking space can be judged to belong to which area according to the positioning information corresponding to each parking space, so that the process of dividing the plurality of parking spaces into areas is completed.
S102, acquiring a time period to be adjusted, calculating a corresponding time period value according to the time period to be adjusted, and counting the total value of the reserved parking space in the area where the target parking space is located according to the time period to be adjusted.
As an example, each day is divided according to the day-night period to determine the period value corresponding to each period (for example, the period values corresponding to 1 o 'clock to 6 o' clock in the morning, 10 o 'clock to 12 o' clock in the afternoon are determined as 1; the period values corresponding to the remaining periods are determined as 2); thus, the corresponding time period value can be determined according to the time period to be adjusted. Under the condition that the time period to be adjusted is known, the reserved parking spaces corresponding to the time period to be adjusted of each parking lot in the area can be obtained according to the area where the target parking spaces are located; and then the total value of the reserved parking spaces in the area is obtained through statistics.
As another example, the time periods may simply be divided according to the morning or afternoon to determine the time period value corresponding to the morning time period as 1 and the afternoon time period as 2.
S103, obtaining the parking space historical reservation information of the area where the target parking space is located, and calculating the order parameter value of the area where the target parking space is located according to the time period to be adjusted and the parking space historical reservation information.
That is to say, historical reservation information of a parking space in an area where a target parking space is located is obtained, and then, an order parameter value of the area where the target parking space is located in the time period is calculated according to the time period to be adjusted and the historical reservation information of the parking space, so that reservation order conditions of the area are determined according to the order parameter value.
In some embodiments, the order parameter values include long term order parameter values and short term order parameter values.
As an example, calculating an order parameter value of an area where a target parking space is located according to a period to be adjusted and parking space historical reservation information includes: acquiring historical order information which is in the same time period as the time period to be adjusted in the parking space historical reservation information according to the time period to be adjusted, and calculating long-term order parameters according to the historical order information which is in the same time period as the time period to be adjusted; and obtaining the historical order information of the previous time period of the time period to be adjusted in the historical reservation information according to the time period to be adjusted, and calculating the short-term order parameters according to the historical order information of the previous time period.
As another example, assuming that the time interval to be adjusted is 2 pm, obtaining historical order information of the time interval within a preset interval (within 10 days), counting the historical order information within the interval to obtain a total historical order quantity value of the time interval, and taking the total historical order quantity value as a long-term order parameter; therefore, in the process of adjusting the reserved price, long-term factors in the same time period are considered, the data basis of the adjustment process is increased, and the adjustment accuracy is improved; then, obtaining historical order information of the previous time period according to the time period to be adjusted, and calculating the order quantity of the previous time period according to the historical order information of the previous time period to be used as a short-term order parameter; therefore, in the process of adjusting the reservation price, the short-term factors of the previous period are considered, so that the adjustment behavior is in smooth transition and is not excessively abrupt; improving the rationality of the adjustment behaviour.
And S104, calculating the reservation success rate parameter value of the target parking space according to the historical reservation information of the parking space.
That is, the probability that the target parking space is reserved successfully is calculated according to the historical reservation information, for example, the number of times (for example, 15 times) that the parking space is reserved successfully in the period is obtained according to a preset period (for example, 30 days is one period); then according to the number of successful reservations and the number of cycle days, the corresponding reservation success rate (15/30-0.5) can be calculated; or acquiring the number of times that the parking space is successfully reserved and the total number of times that the parking space is reserved in a preset period, and calculating the corresponding reservation success rate according to the number of times that the parking space is successfully reserved and the total number of times that the parking space is reserved.
And S105, calculating the reserved price of the target parking space in the time period to be adjusted according to the time period value, the weight corresponding to the time period value, the total value of the reserved parking spaces in the region, the weight corresponding to the total value of the reserved parking spaces in the region, the order parameter value, the weight corresponding to the order parameter value, the reserved success rate parameter value and the weight corresponding to the reserved success rate parameter value.
That is, the reserved price of the target parking space in the time period to be adjusted is calculated according to the time period value, the total value of the reserved parking spaces in the region, the order parameter value, the reservation success rate parameter value and the corresponding weight.
The determination method of the weight corresponding to the time interval may be various.
As an example, the time of each day is divided empirically into off-peak and peak periods (e.g., peak periods at 7 to 9 am, 6 to 10 pm, and off-peak periods for the rest of the time); further, the time period weight corresponding to the off-peak time period is determined to be 0.1, and the weight corresponding to the peak time period is determined to be 0.2.
As another example, a vehicle driving video may be obtained through a camera arranged in a region, the vehicle driving video is input to a pre-trained image recognition model, so as to output a traffic flow corresponding to an installation position of the camera through the image recognition model, then, the traffic flows corresponding to regions photographed by all cameras in the region are counted, the traffic flow corresponding to the region is input to a prediction model, so as to predict a region traffic flow corresponding to a period to be adjusted, and a corresponding period weight is generated according to traffic flow information in the region corresponding to the period to be adjusted.
The determination method of the weight corresponding to the total value of the reserved parking space in the area can be various.
As an example, the regional scope is determined according to the jurisdiction of the community; then, determining the total number of the parking spaces which can be reserved in the area corresponding to the time period to be adjusted; if the total number of the reserved parking spaces is less than a first preset value (for example, 100), the weight of the reserved parking spaces is 0.3; if the total number of the reserved parking spaces is greater than or equal to a first preset value and smaller than a second preset value (for example, greater than or equal to 100 and smaller than 500), the weight is 0.2; and if the total number of the reserved parking spaces is greater than or equal to a second preset value, the weight of the reserved parking spaces is 0.1. That is, the weights corresponding to the total value of the parking spaces reserved in the area are set so that the total value of the parking spaces reserved in the area is inversely related. Thus, if the reserved parking space in the region is more abundant, the reservation price of the final time period to be adjusted is lower, and vice versa, the reservation price is higher.
As another example, a vehicle driving video is obtained through a camera arranged in an area, and the vehicle driving video is input into a pre-trained image recognition model, so that the traffic flow corresponding to the installation position of the camera is output through the image recognition model; then, counting the traffic flow corresponding to all camera shooting areas in the area, and inputting the traffic flow corresponding to the area into a prediction model to predict and obtain the area traffic flow corresponding to the time period to be adjusted; and then, calculating the ratio of the traffic flow of the area corresponding to the time interval to be adjusted to the total value of the reserved parking spaces in the area of the time interval to be adjusted, and taking the ratio as the weight corresponding to the total value of the reserved parking spaces in the area.
The determination method of the weight corresponding to the order parameter value may be various.
As an example, obtaining historical reservation information of a current period corresponding to a time period to be adjusted, and calculating the total number of historical orders in the time period according to the historical reservation information; and then, determining the weight corresponding to the order parameter value according to the total number of the historical orders. For example, if the number of the historical orders in the time period is less than the first preset value, the weight is-0.1; if the quantity of the historical orders in the time interval is more than or equal to a first preset value and less than a second preset value, the weight is 0.1; if the quantity of the historical orders in the time interval is greater than or equal to a second preset value, the weight is 0.2; that is, the order parameter value is set in positive correlation with its weight. When the number of reserved orders in the area is more, the final parking space reserved price is higher; otherwise, the lower.
As another example, the order quantity of the previous time period corresponding to the time period to be adjusted is obtained, and the weight corresponding to the order parameter value is determined according to the order quantity of the previous time period, so that the real-time performance of the reservation price dynamic adjustment is enhanced.
In some embodiments, further comprising: judging whether the reservation price is in a preset adjustable interval or not; if so, adjusting the parking reservation price of the target parking in the time period to be adjusted according to the reservation price; if not, alarm information is generated and sent to related personnel, so that the related personnel can process the alarm information.
That is, an adjustable reasonable interval is set for the reserved price to preliminarily determine whether the automatically generated reserved price is reasonable; if yes, automatically adjusting the price; if not, the related personnel are informed to artificially judge whether to accept the reservation price through the related personnel.
In summary, according to the parking space reservation price dynamic adjustment method of the embodiment of the present invention, first, position information of each parking space is obtained, and a plurality of parking spaces are divided into areas according to the position information; then, acquiring a time period to be adjusted, calculating a corresponding time period value according to the time period to be adjusted, and counting the total value of the reserved parking space in the area where the target parking space is located according to the time period to be adjusted; then, acquiring historical parking space reservation information of an area where a target parking space is located, and calculating an order parameter value of the area where the target parking space is located according to the time period to be adjusted and the historical parking space reservation information; then, calculating an appointment success rate parameter value of the target parking space according to the historical appointment information of the parking space; then, calculating the reserved price of the target parking space in the time period to be adjusted according to the time period value, the weight corresponding to the time period value, the total value of the reserved parking spaces in the region, the weight corresponding to the total value of the reserved parking spaces in the region, the order parameter value, the weight corresponding to the order parameter value, the reserved success rate parameter value and the weight corresponding to the reserved success rate parameter value; thereby realize carrying out dynamic adjustment to the reservation price in parking stall automatically to make the reservation price can laminate in the actual value in parking stall more accurately, ensure parking area operator's benefit of cutting one's body.
In order to achieve the above embodiments, a second aspect of the present invention provides a computer-readable storage medium, on which a parking space reservation price dynamic adjustment program is stored, which when executed by a processor implements the parking space reservation price dynamic adjustment method as described above.
According to the computer-readable storage medium of the embodiment of the invention, the parking space reservation price dynamic adjustment program is stored, so that the processor realizes the above parking space reservation price dynamic adjustment method when executing the parking space reservation price dynamic adjustment program, thereby realizing automatic dynamic adjustment of the reservation price of the parking space, enabling the reservation price to be more accurately attached to the actual value of the parking space, and ensuring the vital interests of a parking lot operator.
In order to implement the foregoing embodiments, a third aspect of the present invention provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the parking space reservation price dynamic adjustment method as described above is implemented.
According to the computer equipment provided by the embodiment of the invention, the storage device is used for storing the parking space reservation price dynamic adjusting program, so that the processor can realize the parking space reservation price dynamic adjusting method when executing the parking space reservation price dynamic adjusting program, thereby realizing automatic dynamic adjustment of the parking space reservation price, enabling the reservation price to be more accurately attached to the actual value of the parking space, and ensuring the vital interests of a parking lot operator.
In order to implement the foregoing embodiment, a fourth aspect of the present invention provides a parking space reservation price dynamic adjustment apparatus; as shown in fig. 2, the parking space reservation price dynamic adjustment apparatus includes: a dividing module 10, a first calculating module 20, a second calculating module 30, a third calculating module 40 and an adjusting module 50.
The dividing module 10 is configured to obtain position information of each parking space, and perform area division on the parking spaces according to the position information;
the first calculating module 20 is configured to obtain a time period to be adjusted, calculate a corresponding time period value according to the time period to be adjusted, and count a total value of the reserved parking spaces in the area where the target parking space is located according to the time period to be adjusted;
the second calculating module 30 is configured to obtain historical parking space reservation information of an area where the target parking space is located, and calculate an order parameter value of the area where the target parking space is located according to the time period to be adjusted and the historical parking space reservation information;
the third calculating module 40 is configured to calculate an appointment success rate parameter value of the target parking space according to the historical parking space appointment information;
the adjusting module 50 is configured to calculate an appointment price of the target parking space in the time period to be adjusted according to the time period value, the weight corresponding to the time period value, the total value of the parking spaces available for appointment in the area, the weight corresponding to the total value of the parking spaces available for appointment in the area, the order parameter value, the weight corresponding to the order parameter value, the appointment success rate parameter value, and the weight corresponding to the appointment success rate parameter value.
In some embodiments, the order parameter values include long term order parameter values and short term order parameter values.
It should be noted that the above description about the parking space reservation price dynamic adjustment method in fig. 1 is also applicable to the parking space reservation price dynamic adjustment device, and is not repeated herein.
In summary, according to the parking space reservation price dynamic adjustment apparatus in the embodiment of the present invention, the setting and dividing module is configured to obtain the position information of each parking space, and perform area division on a plurality of parking spaces according to the position information; the first calculation module is used for acquiring a time period to be adjusted, calculating a corresponding time period value according to the time period to be adjusted, and counting the total value of the reserved parking spaces in the region where the target parking space is located according to the time period to be adjusted; the second calculation module is used for acquiring the parking space historical reservation information of the area where the target parking space is located and calculating the order parameter value of the area where the target parking space is located according to the time period to be adjusted and the parking space historical reservation information; the third calculating module is used for calculating an appointment success rate parameter value of the target parking space according to the historical appointment information of the parking space; the adjusting module is used for calculating the reserved price of the target parking space in the time period to be adjusted according to the time period value, the weight corresponding to the time period value, the total value of the reserved parking spaces in the region, the weight corresponding to the total value of the reserved parking spaces in the region, the order parameter value, the weight corresponding to the order parameter value, the reserved success rate parameter value and the weight corresponding to the reserved success rate parameter value; thereby realize carrying out dynamic adjustment to the reservation price in parking stall automatically to make the reservation price can laminate in the actual value in parking stall more accurately, ensure parking area operator's benefit of cutting one's body.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
In the description of the present invention, it is to be understood that the terms "first", "second" and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, the first feature "on" or "under" the second feature may be directly contacting the first and second features or indirectly contacting the first and second features through an intermediate. Also, a first feature "on," "over," and "above" a second feature may be directly or diagonally above the second feature, or may simply indicate that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature may be directly under or obliquely under the first feature, or may simply mean that the first feature is at a lesser elevation than the second feature.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above should not be understood to necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. A parking space reservation price dynamic adjustment method is characterized by comprising the following steps:
acquiring the position information of each parking space, and performing region division on a plurality of parking spaces according to the position information;
acquiring a time period to be adjusted, calculating a corresponding time period value according to the time period to be adjusted, and counting the total value of the reserved parking space in the area where the target parking space is located according to the time period to be adjusted;
acquiring historical parking space reservation information of an area where a target parking space is located, and calculating an order parameter value of the area where the target parking space is located according to the time period to be adjusted and the historical parking space reservation information;
calculating an appointment success rate parameter value of the target parking space according to the historical parking space appointment information;
and calculating the reserved price of the target parking space in the time period to be adjusted according to the time period value, the weight corresponding to the time period value, the total value of the reserved parking spaces in the region, the weight corresponding to the total value of the reserved parking spaces in the region, the order parameter value, the weight corresponding to the order parameter value, the reserved success rate parameter value and the weight corresponding to the reserved success rate parameter value.
2. The parking space reservation price dynamic adjustment method according to claim 1, wherein the order parameter values include a long-term order parameter value and a short-term order parameter value.
3. The parking space reservation price dynamic adjustment method according to claim 2, wherein calculating the order parameter value of the area where the target parking space is located according to the time period to be adjusted and the parking space historical reservation information comprises:
acquiring historical order information which is in the same time period as the time period to be adjusted in the parking space historical reservation information according to the time period to be adjusted, and calculating long-term order parameters according to the historical order information which is in the same time period as the time period to be adjusted;
and acquiring historical order information of a previous time period of the time period to be adjusted in the historical reservation information according to the time period to be adjusted, and calculating short-term order parameters according to the historical order information of the previous time period.
4. The method for dynamically adjusting parking space reservation price according to claim 1, further comprising:
judging whether the reserved price is in a preset adjustable interval or not;
if so, adjusting the parking reservation price of the target parking in the time period to be adjusted according to the reservation price;
and if not, generating alarm information and sending the alarm information to related personnel so that the related personnel can process the alarm information.
5. The method according to claim 1, wherein the total value of the reserved parking spaces in the region is inversely related to the weight corresponding to the total value of the reserved parking spaces in the region.
6. The method according to claim 1, wherein the order parameter value is positively correlated with the weight corresponding to the order parameter value.
7. A computer-readable storage medium, on which a parking space reservation price dynamic adjustment program is stored, which, when executed by a processor, implements the parking space reservation price dynamic adjustment method according to any one of claims 1 to 6.
8. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the program, implements the parking space reservation price dynamic adjustment method according to any of claims 1-4.
9. A parking space reservation price dynamic adjustment device is characterized by comprising:
the dividing module is used for acquiring the position information of each parking space and dividing the plurality of parking spaces into areas according to the position information;
the first calculation module is used for acquiring a time period to be adjusted, calculating a corresponding time period value according to the time period to be adjusted, and counting the total value of the reserved parking spaces in the region where the target parking space is located according to the time period to be adjusted;
the second calculation module is used for acquiring the parking space historical reservation information of the area where the target parking space is located and calculating the order parameter value of the area where the target parking space is located according to the time period to be adjusted and the parking space historical reservation information;
the third calculation module is used for calculating an appointment success rate parameter value of the target parking space according to the historical appointment information of the parking space;
and the adjusting module is used for calculating the reserved price of the target parking space in the time period to be adjusted according to the time period value, the weight corresponding to the time period value, the total value of the reserved parking spaces in the region, the weight corresponding to the total value of the reserved parking spaces in the region, the order parameter value, the weight corresponding to the order parameter value, the reserved success rate parameter value and the weight corresponding to the reserved success rate parameter value.
10. The parking space reservation price dynamic adjustment apparatus of claim 9, wherein the order parameter values include a long term order parameter value and a short term order parameter value.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110377275.7A CN113327333B (en) | 2021-04-08 | 2021-04-08 | Parking space reservation price dynamic adjustment method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110377275.7A CN113327333B (en) | 2021-04-08 | 2021-04-08 | Parking space reservation price dynamic adjustment method and device |
Publications (2)
Publication Number | Publication Date |
---|---|
CN113327333A true CN113327333A (en) | 2021-08-31 |
CN113327333B CN113327333B (en) | 2022-12-13 |
Family
ID=77414577
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110377275.7A Active CN113327333B (en) | 2021-04-08 | 2021-04-08 | Parking space reservation price dynamic adjustment method and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113327333B (en) |
Citations (23)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2002074431A (en) * | 2000-09-05 | 2002-03-15 | Interlock:Kk | Operating method for parking lot |
KR20070096757A (en) * | 2006-03-27 | 2007-10-02 | 후지쯔 가부시끼가이샤 | A method for calculating parking charge |
US20140046874A1 (en) * | 2012-08-08 | 2014-02-13 | Palo Alto Research Center Incorporated | Real time dynamic vehicle parking price management methods, systems and processor-readable media |
CN106781663A (en) * | 2016-12-23 | 2017-05-31 | 北京万相融通科技股份有限公司 | System and method for processing parking stall reservation information |
CN108062601A (en) * | 2017-12-20 | 2018-05-22 | 青岛海信网络科技股份有限公司 | A kind of parking lot Dynamic Pricing method and apparatus |
WO2018122812A1 (en) * | 2016-12-30 | 2018-07-05 | 同济大学 | Grading and dynamic pricing method for parking spaces with priority given to short-term parking |
CN108334965A (en) * | 2018-01-18 | 2018-07-27 | 北京悦畅科技有限公司 | A kind of method and apparatus of parking position reservation |
CN108806317A (en) * | 2018-06-15 | 2018-11-13 | 厦门华方软件科技有限公司 | Parking stall method for pushing, medium, terminal device and the device calculated based on big data |
CN108932551A (en) * | 2017-05-28 | 2018-12-04 | 沈思远 | Parking position subscription procedure |
CN109088940A (en) * | 2018-08-30 | 2018-12-25 | 深圳市易成自动驾驶技术有限公司 | Parking stall reserving method, device and computer readable storage medium |
CN109147063A (en) * | 2018-06-21 | 2019-01-04 | 西安艾润物联网技术服务有限责任公司 | Data processing method, apparatus and system |
CN109214872A (en) * | 2018-10-11 | 2019-01-15 | 西安艾润物联网技术服务有限责任公司 | Parking fee dynamic adjusting method, system, device and readable storage medium storing program for executing |
CN109492801A (en) * | 2018-10-29 | 2019-03-19 | 上海洛筑科技有限公司 | A kind of parking price optimization method and its management system |
CN109615406A (en) * | 2018-08-20 | 2019-04-12 | 西安艾润物联网技术服务有限责任公司 | A kind of dynamic price adjustment method and device |
CN109635983A (en) * | 2018-12-25 | 2019-04-16 | 杭州琛华科技有限公司 | A kind of price difference of public bus hands in method and apparatus retroactively |
CN110533195A (en) * | 2019-07-25 | 2019-12-03 | 厦门路桥信息股份有限公司 | Quickly report method, medium, equipment and device for repairment in parking lot |
CN110619685A (en) * | 2019-08-19 | 2019-12-27 | 厦门路桥信息股份有限公司 | Parking self-service payment method, medium, equipment and system based on large-scale activities |
US20200051198A1 (en) * | 2018-08-08 | 2020-02-13 | FlashParking, Inc. | On-demand based pricing capabilities for parking management |
CN112002142A (en) * | 2020-04-30 | 2020-11-27 | 南京理工大学 | Shared parking berth distribution system and method based on floating price |
CN112184927A (en) * | 2020-09-18 | 2021-01-05 | 厦门路桥信息股份有限公司 | Parking ticket repudiation method and system for vehicles without admission records |
CN112185162A (en) * | 2020-09-18 | 2021-01-05 | 厦门路桥信息股份有限公司 | Parking space reservation recommendation method and system |
CN112201075A (en) * | 2020-09-18 | 2021-01-08 | 厦门路桥信息股份有限公司 | Parking lot parking space availability prediction method and system |
CN112233456A (en) * | 2020-09-21 | 2021-01-15 | 厦门路桥信息股份有限公司 | Automatic dispatching method, medium and system for mechanical parking building |
-
2021
- 2021-04-08 CN CN202110377275.7A patent/CN113327333B/en active Active
Patent Citations (24)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2002074431A (en) * | 2000-09-05 | 2002-03-15 | Interlock:Kk | Operating method for parking lot |
KR20070096757A (en) * | 2006-03-27 | 2007-10-02 | 후지쯔 가부시끼가이샤 | A method for calculating parking charge |
US20140046874A1 (en) * | 2012-08-08 | 2014-02-13 | Palo Alto Research Center Incorporated | Real time dynamic vehicle parking price management methods, systems and processor-readable media |
CN106781663A (en) * | 2016-12-23 | 2017-05-31 | 北京万相融通科技股份有限公司 | System and method for processing parking stall reservation information |
CN110337680A (en) * | 2016-12-30 | 2019-10-15 | 同济大学 | A kind of preferential short reservation of high-quality berth and Dynamic Pricing method stopped |
WO2018122812A1 (en) * | 2016-12-30 | 2018-07-05 | 同济大学 | Grading and dynamic pricing method for parking spaces with priority given to short-term parking |
CN108932551A (en) * | 2017-05-28 | 2018-12-04 | 沈思远 | Parking position subscription procedure |
CN108062601A (en) * | 2017-12-20 | 2018-05-22 | 青岛海信网络科技股份有限公司 | A kind of parking lot Dynamic Pricing method and apparatus |
CN108334965A (en) * | 2018-01-18 | 2018-07-27 | 北京悦畅科技有限公司 | A kind of method and apparatus of parking position reservation |
CN108806317A (en) * | 2018-06-15 | 2018-11-13 | 厦门华方软件科技有限公司 | Parking stall method for pushing, medium, terminal device and the device calculated based on big data |
CN109147063A (en) * | 2018-06-21 | 2019-01-04 | 西安艾润物联网技术服务有限责任公司 | Data processing method, apparatus and system |
US20200051198A1 (en) * | 2018-08-08 | 2020-02-13 | FlashParking, Inc. | On-demand based pricing capabilities for parking management |
CN109615406A (en) * | 2018-08-20 | 2019-04-12 | 西安艾润物联网技术服务有限责任公司 | A kind of dynamic price adjustment method and device |
CN109088940A (en) * | 2018-08-30 | 2018-12-25 | 深圳市易成自动驾驶技术有限公司 | Parking stall reserving method, device and computer readable storage medium |
CN109214872A (en) * | 2018-10-11 | 2019-01-15 | 西安艾润物联网技术服务有限责任公司 | Parking fee dynamic adjusting method, system, device and readable storage medium storing program for executing |
CN109492801A (en) * | 2018-10-29 | 2019-03-19 | 上海洛筑科技有限公司 | A kind of parking price optimization method and its management system |
CN109635983A (en) * | 2018-12-25 | 2019-04-16 | 杭州琛华科技有限公司 | A kind of price difference of public bus hands in method and apparatus retroactively |
CN110533195A (en) * | 2019-07-25 | 2019-12-03 | 厦门路桥信息股份有限公司 | Quickly report method, medium, equipment and device for repairment in parking lot |
CN110619685A (en) * | 2019-08-19 | 2019-12-27 | 厦门路桥信息股份有限公司 | Parking self-service payment method, medium, equipment and system based on large-scale activities |
CN112002142A (en) * | 2020-04-30 | 2020-11-27 | 南京理工大学 | Shared parking berth distribution system and method based on floating price |
CN112184927A (en) * | 2020-09-18 | 2021-01-05 | 厦门路桥信息股份有限公司 | Parking ticket repudiation method and system for vehicles without admission records |
CN112185162A (en) * | 2020-09-18 | 2021-01-05 | 厦门路桥信息股份有限公司 | Parking space reservation recommendation method and system |
CN112201075A (en) * | 2020-09-18 | 2021-01-08 | 厦门路桥信息股份有限公司 | Parking lot parking space availability prediction method and system |
CN112233456A (en) * | 2020-09-21 | 2021-01-15 | 厦门路桥信息股份有限公司 | Automatic dispatching method, medium and system for mechanical parking building |
Non-Patent Citations (2)
Title |
---|
GREGORY PIERCE等: "停车收费合理定价――基于需求的旧金山停车定价模式评价", 《城市交通》 * |
吴涛等: "城市公共停车收费定价的研究", 《上海铁道大学学报》 * |
Also Published As
Publication number | Publication date |
---|---|
CN113327333B (en) | 2022-12-13 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US9002767B2 (en) | System and method for managing electrified parking space utilization | |
CN109559553A (en) | A kind of wisdom shutdown system and its parking management method | |
CN101206801B (en) | Self-adaption traffic control method | |
WO2018232951A1 (en) | Car park parking spot allocation method and apparatus | |
CN105931494B (en) | A kind of accurate method and system for obtaining parking stall | |
CN115900744A (en) | Charging path planning method and device and server | |
CN103914988A (en) | Traffic road condition data processing method, device and system | |
CN108806317B (en) | Parking space pushing method, medium, terminal equipment and device based on big data calculation | |
CN111160588A (en) | Charging service reservation method and system | |
CN112185162A (en) | Parking space reservation recommendation method and system | |
FR2971874A1 (en) | REFILL SYSTEM | |
CN108120999A (en) | In-vehicle navigation apparatus and parking lot guide method | |
EP3885182A1 (en) | Power calculation apparatus and power calculation method | |
CN112508306A (en) | Self-adaptive method and system for power production configuration | |
CN111179506A (en) | Shared charging pile self-service charging system and shared charging pile recommendation method | |
CN114312434B (en) | Management method, device, equipment and storage medium for electric automobile charging | |
CN113269364A (en) | Scheduling method and device for shared vehicles | |
CN113327333B (en) | Parking space reservation price dynamic adjustment method and device | |
CN112257936B (en) | Recommendation method and device for order receiving area, electronic equipment and storage medium | |
CN113570866A (en) | Parking lot management method and system, storage medium and electronic equipment | |
CN115556610A (en) | Vehicle-to-vehicle charging system and method | |
CN116129668A (en) | Road side public parking space guiding method and system based on regional clusters | |
CN113689185A (en) | Analog simulation scheduling method based on historical passenger flow analysis of urban public transport | |
CN110942357B (en) | Adjusting method, adjusting device, adjusting system and storage medium | |
CN117807283B (en) | Big data-based parking order analysis method and system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |