CN112863235B - Method and device for predicting parking space vacancy rate - Google Patents
Method and device for predicting parking space vacancy rate Download PDFInfo
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- G08—SIGNALLING
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/145—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
Abstract
A method for predicting parking space vacancy rate comprises the following steps: divide each working day time into T1‑T44 time nodes, each holiday is divided into T5‑T62 time nodes to obtain data within the parking, where Z0For occupied parking space quantity Z0，J0Number of cars newly parked in a parking space in a time node, C0Obtaining the idle rate R of the parking space in a period of time node for the number of automobiles leaving the parking space in the period of time node0Then n cycles are performed to obtain T1Average parking space vacancy rate within
By analogy in turn, can obtain
And
when n is sufficiently large, T1‑T6The average parking space vacancy rate in the system can be infinitely close to the actual parking space vacancy rate, and the prediction of T of each working day can be realized1‑T4Or holiday T5‑T6In practical application, a tenant only needs to select a parking lot with high parking space vacancy rate to park when parking, and the time for an owner to search for the parking space can be shortened.
Description
Technical Field
The invention relates to the technical field of traffic parking, in particular to a method and a device for predicting parking space vacancy rate.
Background
In recent years, with the rapid development of city economy and the improvement of living standards of people, the number of private cars is also sharply increased, each community is generally matched with a plurality of parking lots, but the parking space purchase rate is very low, most of owners can choose to rent, but the general parking spaces are not fixed during renting, the owners can freely select the parking spaces, the owners cannot know the parking space vacancy rate of one parking lot in advance before parking the own cars in the parking lot, the owners find that no empty parking spaces exist in the parking lot after entering the parking lot, the time of the owners is very wasted, if the owners know the parking space rate of the parking lot before choosing to enter one parking lot, the parking lot with high parking space vacancy rate can be selected for parking, and the time of finding the empty parking spaces is shortened.
Disclosure of Invention
The embodiment of the invention provides a method and a device for predicting the vacancy rate of a parking space, which can enable an owner to select a parking lot with high vacancy rate of the parking space to park by calculating the vacancy rate of the parking lot, and shorten the time for the owner to search for the vacant parking space.
In order to achieve the above object, the present invention provides a method for predicting parking space vacancy rate, comprising:
s1: obtaining the total number S of parking spaces in a parking lot from a database0The unit is vehicle;
s2: preset data acquisition period T0In the unit h, wherein T is preset1When 2, T1Is 7:00-8:59 in morning and preset T2When equal to 8, T2Presetting T for 9:00 morning-16: 59 afternoon3When equal to 4, T3Is set at 17:00 pm to 20:59 pm and T is preset4When equal to 4, T421 at night: 00-6: 59 in the morning, setting T5When equal to 7, T5Presetting T for 10:00 am to 16:59 pm6When equal to 17, T6Is 17: 00-morning in afternoonUpper 9: 59;
s3: acquiring the number Z of occupied parking spaces of the parking lot before each data acquisition0The unit is vehicle;
s4: acquiring the data acquisition period T of the parking lot0Number J of vehicles newly parked in parking space0The unit is vehicle;
s5: acquiring the data acquisition period T of the parking lot0Number of cars driving in and out of parking space C0The unit is vehicle;
s6: setting the parking lot in a data acquisition period T0Interior parking space vacancy rate
Further, S7: at working day, the data acquisition period T0According to T1-T4Performing data acquisition, and circulating S3-S6;
s8: when the cycle number is n, obtaining a data acquisition period T1Average parking space vacancy rate in
Data acquisition period T2Average parking space vacancy rate within
Data acquisition period T3Average parking space vacancy rate within
Data acquisition period T4Average parking space vacancy rate within
Further, S9: on holiday days, the data acquisition period T0According to T5-T6Proceed to acquire dataLoop S3-S6;
s10: when the cycle number is n, obtaining a data acquisition period T5Average parking space vacancy rate within
Data acquisition period T6Average parking space vacancy rate within
Further, the data acquisition period T0To accumulate the time to acquire the data.
An apparatus for predicting parking space vacancy rate, comprising:
a first acquisition unit: the first acquisition unit is used for acquiring the total parking space number S of a parking lot0；
A presetting unit for presetting a data acquisition period T0Wherein T is preset1When equal to 2, T1Is 7:00-8:59 in morning and preset T2When equal to 8, T2Presetting T for 9:00 morning-16: 59 afternoon3When equal to 4, T3Is set at 17:00 pm to 20:59 pm and T is preset4When equal to 4, T421 in the evening: 00-6: 59 in the morning, setting T5When equal to 7, T5Presetting T for 10:00 am to 16:59 pm6When equal to 17, T617:00 in the afternoon-9: 59 in the morning;
a second acquisition unit: the second acquisition unit is used for acquiring the number Z of the occupied parking spaces of the parking lot before each data acquisition0；
A third acquisition unit configured to acquire the parking lot in a data acquisition period T0Number J of vehicles newly parked in parking space0；
A fourth acquiring unit for acquiring the parking lot in a data acquisition period T0Number of cars driving in and out of parking space C0；
A first calculation unit for calculating a data acquisition period T of the parking lot0Interior parking space vacancy rate
A first circulation unit for when T0According to T1-T4When data acquisition is carried out, the steps from S3 to S6 are repeated;
a second calculation unit for calculating a data acquisition period T when the number of cycles is n1Average parking space vacancy rate within
Data acquisition period T2Average parking space vacancy rate within
Data acquisition period T3Average parking space vacancy rate in
Data acquisition period T4Average parking space vacancy rate within
A second circulation unit for when T0According to T5-T6Performing data acquisition, and circulating S3-S6;
a third calculation unit that calculates a data acquisition period T when the number of cycles is n5Average parking space vacancy rate within
Data acquisition period T6Average parking space vacancy rate within
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
the invention divides each working day time into T1-T4Acquiring data by 4 time nodes to obtain the idle rate of the parking space in each data acquisition period, and circulating T in each different working day for multiple times1-T4Respectively obtaining the data acquisition periods T1Average parking space vacancy rate within
Data acquisition period T2Average parking space vacancy rate within
Data acquisition period T3Average parking space vacancy rate within
Data acquisition period T4Average parking space vacancy rate in
When the holiday day is divided into T5-T6The data acquisition is carried out on 2 time nodes to obtain the idle rate of the parking space in each data acquisition period, and the time nodes T of each different holiday are cycled for multiple times5-T6Respectively obtain data acquisition periods T5Average parking space vacancy rate in
Data acquisition period T6Average parking space vacancy rate within
Time node T as long as the number of bad cycles is enough1-T6The average parking space vacancy rate in the system can be infinitely close to the actual parking space vacancy rate, and the prediction of T in each working day can be realized1-T4Or holiday T5-T6Interior parking stall vacancy rate can obtain the average parking stall vacancy rate of each parking area at different time nodes through this kind of calculation mode, and in practical application, the tenant only need when parkking, just can know the parking stall vacancy rate in the different parking areas of this time node in combination with the actual parking time of oneself, selects the parking area that parking stall vacancy rate is high to park, just can shorten the time that the owner looked for the parking stall.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flowchart of a method for analyzing urban parking demand according to an embodiment of the present invention;
DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may 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 disclosure to those skilled in the art.
Example one
As shown in fig. 1, an embodiment of the present invention provides a method for predicting a parking space vacancy rate, including:
s1: obtaining the total number S of parking spaces in a parking lot from a database0The unit is vehicle;
specifically, the total number of parking spaces S0＝1000；
S2: a preset data acquisition period T0In the unit h, wherein T is preset1When 2, T1Is 7:00-8:59 in morning and preset T2When equal to 8, T2Presetting T for 9:00 morning-16: 59 afternoon3When equal to 4, T3Is set at 17:00 pm to 20:59 pm and T is preset4When equal to 4, T421 at night: 00-6: 59 in the morning, setting T5When equal to 7, T5Presetting T for 10:00 am to 16:59 pm6When equal to 17, T617:00 in the afternoon-9: 59 in the morning;
specifically, a predetermined data acquisition period T0Taking a certain working day as an example, the first time of the working day to start acquiring data is 7:00 am, the first time of the working day to finish acquiring data is 8:59 am, namely the data acquisition period is T1Data acquisition period T1After the end, enter T2Stage, i.e. T2The time to start the phase to acquire data is 9:00 am, the end time is 16:59 pm, and then T is entered3Stage, i.e. T3The time for acquiring data at the beginning of the phase is 17:00 pm, the time for acquiring data at the end of the phase is 20:59 pm, and then T is entered4Stage, i.e. T4The time to begin data acquisition at night 21:00,the end time is 6:59 in the morning of the next day, and the working day T can be obtained1-T4The vacancy rate of each parking space in a stage; if the time for starting to acquire data is a holiday, the first time for starting to acquire data on the holiday is 10:00 a.m., the first time for finishing acquiring data is 16:59 a.m., namely the data acquisition period is T5Data acquisition period T5After the end, enter T6Stage, i.e. T6The time for obtaining data at the beginning of the period is 17:00 in the afternoon, the end time is 9:59 in the morning of the next day, and the holidays T can be obtained respectively5-T6The vacancy rate of each parking space in a stage;
s3: acquiring the number Z of occupied parking spaces of a parking lot before each data acquisition0The unit is vehicle;
specifically, the time period T of a certain working day1For example, the total number of occupied spaces in the morning of 7:00 of the working day
A vehicle;
s4: acquiring parking lot data acquisition period T0Number J of vehicles newly parked in parking space0The unit is vehicle;
specifically, the number of the vehicles newly parked in the parking space in the time period of 7:00-8:59 morning of the working day
A vehicle;
s5: acquiring parking lot data acquisition period T0Number of cars driving in and out of parking space C0The unit is vehicle;
specifically, the number of cars driving out of the parking space in the time period of 7:00-8:59 in the morning of the working day
A vehicle;
s6: setting parking lot at data acquisition period T1Inner parking space is freeRate of change
Specifically, the vacancy rate of the parking space is within the time period of 7:00-8:59 in the morning of the working day
Wherein, the total number of parking spaces in the parking lot
Subtracting the number of occupied parking spaces before each data acquisition
Obtaining the total parking space of the parking lot before each data acquisition, adding the total parking space in the data acquisition period T1Number of cars driving in and out of parking space
The data acquisition period T can be obtained1The total parking space of the parking lot is used in the data acquisition period T1Number of vehicles newly parked in parking space
Is divided by
The data acquisition period T can be obtained1Parking space occupancy rate, using 1 to subtract the data acquisition period T1The parking space occupancy rate in the system can obtain the data acquisition period T1Vacancy rate of inner parking space
The higher the value of (a), the more parking spaces are found to be free.
Further, S7: working time of dayData acquisition period T0According to T1-T4Performing data acquisition, and circulating S3-S6;
specifically, each working day is subjected to one cycle of S3-S6, so that T in one working day can be obtained1-T4Parking space vacancy rate
And
s8: when the cycle number is n, obtaining a data acquisition period T1Average parking space vacancy rate within
Data acquisition period T2Average parking space vacancy rate within
Data acquisition period T3Average parking space vacancy rate within
Data acquisition period T4Average parking space vacancy rate within
Specifically, when n working days are circulated, n working days can be obtained
And
respectively to the same
And
obtaining the average value
And
further, S9: on holiday days, the data acquisition period T0According to T5-T6Performing data acquisition, and circulating S3-S6;
specifically, as can be seen from the above, data acquisition is performed at 10:00 am to 16:59 pm on the holiday, and a data acquisition period T can be obtained5Average parking space vacancy rate within
T5After the stage is finished, entering T6Phase, the data acquisition period T can be obtained6Average parking space vacancy rate within
S10: when the cycle number is n, obtaining a data acquisition period T5Average parking space vacancy rate within
Data acquisition period T6Average parking space vacancy rate within
Specifically, as can be seen from the above, when n holidays are cycled, n holidays can be obtained
And
respectively to the same
And
the average value is obtained
And
further, a data acquisition period T0To accumulate the time to acquire the data.
Example two
An apparatus for predicting parking space vacancy rate, comprising:
a first acquisition unit: the first acquisition unit is used for acquiring the total parking space number S of a parking lot0Specifically, the total number S of parking spaces of the parking lot is acquired by the first acquiring unit0＝1000；
A presetting unit for presetting a data acquisition period T0Wherein T is preset1When 2, T1Is 7:00-8:59 in morning and preset T2When equal to 8, T2Presetting T for 9:00 morning-16: 59 afternoon3When equal to 4, T3Is set at 17:00 pm to 20:59 pm and T is preset4When equal to 4, T421 at night: 00-6: 59 in the morning, setting T5When equal to 7, T5Presetting T for 10:00 am to 16:59 pm6When equal to 17, T6Is 17: 00-9: 59 morning in afternoon, specifically, a preset data acquisition period T0Take a certain working day as an example, then theThe first time of the working day to start acquiring data is 7:00 in the morning, the first time of the data acquisition is 8:59 in the morning, namely the data acquisition period is T1Data acquisition period T1After the end, enter T2Stage, i.e. T2The time to start the phase to acquire data is 9:00 am, the end time is 16:59 pm, and then T is entered3Stage, i.e. T3The time for acquiring data at the beginning of the phase is 17:00 pm, the time for acquiring data at the end of the phase is 20:59 pm, and then T is entered4Stage, i.e. T4The time to begin data acquisition at night 21:00, end time 6:59 in the morning of the next day, at which time the working day T is available, respectively1-T4The vacancy rate of each parking space in a stage; if the time for starting to acquire data is a holiday, the first time for starting to acquire data on the holiday is 10:00 a.m., the first time for finishing acquiring data is 16:59 a.m., namely the data acquisition period is T5Data acquisition period T5After the end, enter T6Stage, i.e. T6The time for acquiring data at the beginning of the phase is 17:00 in the afternoon, and the end time is 9:59 in the morning of the next day;
a second acquisition unit: the second acquisition unit is used for acquiring the number Z of the occupied parking spaces of the parking lot before each data acquisition0Specifically, in this embodiment, the second obtaining unit obtains the total number of occupied parking spaces before 7:00 of the morning of the working day
A vehicle;
a third acquiring unit for acquiring the data acquisition period T of the parking lot0Number J of vehicles newly parked in parking space0Specifically, in this embodiment, in the time period of 7:00-8:59 in the morning of the working day, the third obtaining unit obtains the number of cars newly parked in the parking space
A vehicle;
fourth obtaining unit, fourthThe acquisition unit is used for acquiring the data acquisition period T of the parking lot0Number of cars driving in and out of parking space C0Specifically, in this embodiment, the fourth obtaining unit obtains the number of cars driving out of the parking space in the time period of 7:00-8:59 in the morning of the working day
A vehicle;
a first calculation unit for calculating a data acquisition period T of the parking lot0Interior parking space vacancy rate
Specifically, during the period of time 7:00-8:59 in the morning of the work day,
a first circulation unit for use when T0According to T1-T4When the data acquisition is carried out, the steps S3-S6 are repeated;
a second calculation unit for calculating the data acquisition period T when the number of cycles is n1Average parking space vacancy rate within
Data acquisition period T2Average parking space vacancy rate in
Data acquisition period T3Average parking space vacancy rate within
Data acquisition period T4Average parking space vacancy rate within
Specifically, when n working days are circulated, n working days can be obtained
And
the second computing unit can respectively aim at the
And
obtaining the average value
And
a second circulation unit for use when T0According to T5-T6Performing data acquisition, and circulating S3-S6;
a third calculating unit for calculating the data acquisition period T when the number of cycles is n5Average parking space vacancy rate within
Data acquisition period T6Average parking space vacancy rate within
Specifically, when n holidays are circulated, n holidays can be obtained
And
the third calculating unit can respectively aim at the
And
the average value is obtained
And
what has been described above includes examples of one or more embodiments. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the aforementioned embodiments, but one of ordinary skill in the art may recognize that many further combinations and permutations of various embodiments are possible. Accordingly, the embodiments described herein are intended to embrace all such alterations, modifications and variations that fall within the scope of the appended claims. Furthermore, to the extent that the term "includes" is used in either the detailed description or the claims, such term is intended to be inclusive in a manner similar to the term "comprising" as "comprising" is interpreted when employed as a transitional word in a claim. Furthermore, any use of the term "or" in the specification of the claims is intended to mean a "non-exclusive or".
Claims (3)
1. A method for predicting parking space vacancy rate is characterized by comprising the following steps:
s1: obtaining the total number S of parking spaces in a parking lot from a database0The unit is vehicle;
s2: preset data acquisition period T0In the unit h, wherein T is preset1When 2, T1Is 7:00-8:59 in morning and preset T2When equal to 8, T2Preset T for 9:00 morning-16: 59 afternoon3When equal to 4, T3Is set at 17:00 pm to 20:59 pm and T is preset4When equal to 4, T4Setting T for 21:00 at night to 6:59 at morning5When equal to 7, T5Presetting T for 10:00 am to 16:59 pm6When equal to 17, T617:00 in the afternoon-9: 59 in the morning;
wherein the preset data acquisition period T0A certain working day isFor example, the first time of the working day to start acquiring data is 7:00 am, and the first time to finish acquiring data is 8:59 am, i.e. the data acquisition period is T1Data acquisition period T1After the end, enter T2Stage, i.e. T2The time to start the phase to acquire data is 9:00 am, the end time is 16:59 pm, and then T is entered3Stage, i.e. T3The time for acquiring data at the beginning of the phase is 17:00 pm, the time for acquiring data at the end of the phase is 20:59 pm, and then T is entered4Stage, i.e. T4The time for obtaining data at the beginning of the period is 21:00 pm, the end time is 6:59 am, and the working day T can be obtained1-T4The vacancy rate of each parking space in a stage; if the time for starting to acquire data is a holiday, the first time for starting to acquire data on the holiday is 10:00 a.m., the first time for finishing acquiring data is 16:59 a.m., namely the data acquisition period is T5Data acquisition period T5After the end, enter T6Stage, i.e. T6The time for obtaining data at the beginning of the period is 17:00 in the afternoon, the end time is 9:59 in the morning of the next day, and the holidays T can be obtained respectively5-T6The vacancy rate of each parking space in a stage;
s3: acquiring the number Z of occupied parking spaces of the parking lot before each data acquisition0The unit is vehicle;
s4: acquiring the data acquisition period T of the parking lot0Number J of vehicles newly parked in parking space0The unit is vehicle;
s5: acquiring the data acquisition period T of the parking lot0Number of cars driving in and out of parking space C0The unit is vehicle;
s6: setting the parking lot in a data acquisition period T0Interior parking space vacancy rate
S7: at working day, the data acquisition period T0According to T1-T4Performing data acquisition, and circulating S3-S6;
s8: when the cycle number is n, obtaining a data acquisition period T1Average parking space vacancy rate within
Data acquisition period T2Average parking space vacancy rate within
Data acquisition period T3Average parking space vacancy rate within
Data acquisition period T4Average parking space vacancy rate within
S9: on holiday days, the data acquisition period T0According to T5-T6Performing data acquisition, and circulating S3-S6;
s10: when the cycle number is n, obtaining a data acquisition period T5Average parking space vacancy rate within
Data acquisition period T6Average parking space vacancy rate within
2. The method for predicting the parking space vacancy rate according to claim 1, wherein the method comprises the following steps: the data acquisition period T0To accumulate the time to acquire the data.
3. The utility model provides a predict parking stall idle rate's device which characterized in that includes:
a first acquisition unit: the first acquisition unit is used for acquiring the total parking space number S of a parking lot0；
A presetting unit for presetting a data acquisition period T0Wherein T is preset1When 2, T1Is 7:00-8:59 in morning and preset T2When equal to 8, T2Presetting T for 9:00 morning-16: 59 afternoon3When equal to 4, T3At 17:00 pm-20: 59 pm, preset T4When equal to 4, T4Setting T for 21:00 at night to 6:59 at morning5When equal to 7, T5Presetting T for 10:00 am to 16:59 pm6When equal to 17, T617:00 in the afternoon-9: 59 in the morning;
a second acquisition unit: the second acquisition unit is used for acquiring the number Z of the occupied parking spaces of the parking lot before each data acquisition0；
A third acquisition unit configured to acquire the parking lot in a data acquisition period T0Number J of vehicles newly parked in parking space0；
A fourth acquiring unit for acquiring the parking lot in a data acquisition period T0Number of cars driving in and out of parking space C0；
A first calculation unit for calculating a data acquisition period T of the parking lot0Interior parking space vacancy rate
A first circulation unit for when T0According to T1-T4When the data acquisition is carried out, the steps S3-S6 are repeated;
a second calculation unit for calculating a data acquisition period T when the number of cycles is n1Average parking space vacancy rate within
Data acquisition period T2Average parking space vacancy rate within
Data acquisition period T3Average parking space vacancy rate within
Data acquisition period T4Average parking space vacancy rate within
A second circulation unit for when T0According to T5-T6Performing data acquisition, and circulating S3-S6;
a third calculation unit that calculates a data acquisition period T when the number of cycles is n5Average parking space vacancy rate in
Data acquisition period T6Average parking space vacancy rate within
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| CN114170830B (en) * | 2021-12-07 | 2023-04-14 | 国网电力有限公司 | Method and system for refined management of intra-regional charging network |
| CN114360286B (en) * | 2022-01-14 | 2022-10-21 | 成都宜泊信息科技有限公司 | Parking lot renting time period management method, system, storage medium and equipment |
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| CN106971604A (en) * | 2017-04-12 | 2017-07-21 | 青岛海信网络科技股份有限公司 | A kind of parking stall resource allocation method and device |
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| US9129524B2 (en) * | 2012-03-29 | 2015-09-08 | Xerox Corporation | Method of determining parking lot occupancy from digital camera images |
| WO2019119319A1 (en) * | 2017-12-20 | 2019-06-27 | 中国科学院深圳先进技术研究院 | Parking lot space occupancy rate prediction method, device, and apparatus, and storage medium |
| CN108417031B (en) * | 2018-03-15 | 2020-04-24 | 浙江大学 | Intelligent parking berth reservation strategy optimization method based on Agent simulation |
| JP7010146B2 (en) * | 2018-05-31 | 2022-01-26 | トヨタ自動車株式会社 | Parking lot rental device, parking lot rental system and parking lot rental method |
| CN109118820A (en) * | 2018-09-26 | 2019-01-01 | 重庆英传智能科技研究院有限公司 | A kind of city parking induction information dynamic emulation method and system |
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|---|---|---|---|---|
| CN102867407A (en) * | 2012-09-13 | 2013-01-09 | 东南大学 | Multistep prediction method for effective parking space occupation rate of parking lot |
| CN106971604A (en) * | 2017-04-12 | 2017-07-21 | 青岛海信网络科技股份有限公司 | A kind of parking stall resource allocation method and device |
| CN107085972A (en) * | 2017-06-16 | 2017-08-22 | 北京悦畅科技有限公司 | The computational methods and device of a kind of parking position number |
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