CN108133615A - A kind of quick finding method in parking stall - Google Patents
A kind of quick finding method in parking stall Download PDFInfo
- Publication number
- CN108133615A CN108133615A CN201711394993.5A CN201711394993A CN108133615A CN 108133615 A CN108133615 A CN 108133615A CN 201711394993 A CN201711394993 A CN 201711394993A CN 108133615 A CN108133615 A CN 108133615A
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- China
- Prior art keywords
- parking lot
- parking
- alternative
- parking stall
- weights
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Classifications
-
- 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
- G08G1/145—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
- G08G1/148—Management of a network of parking areas
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/36—Input/output arrangements for on-board computers
- G01C21/3679—Retrieval, searching and output of POI information, e.g. hotels, restaurants, shops, filling stations, parking facilities
- G01C21/3685—Retrieval, searching and output of POI information, e.g. hotels, restaurants, shops, filling stations, parking facilities the POI's being parking facilities
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- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Traffic Control Systems (AREA)
- Navigation (AREA)
Abstract
The invention discloses a kind of quick finding method in parking stall, destination-centric, distance threshold delimit Parking range for radius, then obtain parking lot in Parking range alternately parking lot.In this step, the delimitation of Parking range ensure that enough parking lot selection spaces, in turn ensure distance of the parking lot apart from destination of final choice.This step has established the practicability of the quick finding method in the parking stall and intelligence basis.
Description
Technical field
The present invention relates to the quick finding methods of technical field of transportation more particularly to a kind of parking stall.
Background technology
With popularizing for private car, automobile becomes the trip tool of more people.But automobile is bulky, it is necessary to stop
In specified place.But popularizing with automobile, supply falls short of demand always on parking stall, and parking of automobile is caused increasingly to be not easy,
Sometimes or even need to wait for parking stall.
Invention content
Technical problems based on background technology, the present invention propose a kind of quick finding method in parking stall.
The quick finding method in a kind of parking stall proposed by the present invention, includes the following steps：
S1, time interval value, time span threshold value, distance threshold and destination are obtained；
S2, it obtains distance apart from destination and is less than or equal to the parking lot of distance threshold alternately parking lot；
S3, calculating cycle, segmentum intercalaris when being divided in calculating cycle according to time interval value are obtained according to time span threshold value
Point；
S4, the remaining parking stall quantity for obtaining each alternative parking lot on each timing node, and for each alternative parking field computation
The average value of remaining parking stall quantity is as the first weights on each node；
S5, the remaining parking stall quantity in each alternative parking lot on a nearest timing node is obtained as the second weights；
S6, each alternative parking lot is filtered out according to the first weights and the second weights, and by remaining alternative parking lot
It is included into preset first set and second set respectively；
S7, the parking lot in first set and second set is marked on navigation map.
Preferably, in step S7, on navigation map, the parking lot in identity set is marked with same color, different sets
In parking lot marked with different color.
Preferably, in step S1, time span threshold value is more than 10 minutes, and time interval value is more than 1 minute.
Preferably, time span threshold value is the integral multiple of time interval value.
Preferably, step S6 specifically includes following steps：
S61, the product of each alternative the first weights of parking lot and the second weights is calculated as feature weight；
S62, the alternative parking lot that feature weight is 0 is filtered out；
S63, remaining alternative parking lot is included by first set and second set according to feature weight respectively.
Preferably, step S63 is specially：First set is included into the alternative parking lot that feature weight is less than to predetermined threshold value,
It is included into second set in the alternative parking lot that feature weight is greater than or equal to predetermined threshold value.
The quick finding method in a kind of parking stall proposed by the present invention, destination-centric, distance threshold stop for radius delimitation
Then vehicle range obtains the parking lot alternately parking lot in Parking range.In this step, the delimitation of Parking range is protected
Enough parking lot selection spaces have been demonstrate,proved, have in turn ensured distance of the parking lot apart from destination of final choice.This step is established
The practicability of the parking stall quick finding method and intelligence basis.
In the present invention, each alternative parking lot is filtered out according to the first weights and the second weights, and will be remaining alternative
Preset first set and second set are included into parking lot respectively, and then the parking lot in first set and second set exists
It is marked on navigation map.It is equivalent to after classifying to alternative parking lot, carries out artificial screening in conjunction with factors such as distances, favorably
In raising parking lot screening efficiency.
Description of the drawings
Fig. 1 is a kind of quick finding method flow chart in parking stall proposed by the present invention.
Specific embodiment
With reference to Fig. 1, a kind of quick finding method in parking stall proposed by the present invention includes the following steps.
S1, time interval value, time span threshold value, distance threshold and destination are obtained.In present embodiment, time span
Threshold value is more than 10 minutes, and time interval value is more than 1 minute.
S2, it obtains distance apart from destination and is less than or equal to the parking lot of distance threshold alternately parking lot.The step
Suddenly it is equivalent to destination-centric, distance threshold delimit Parking range for radius, then obtain the parking lot in Parking range
Alternately parking lot.In this step, the delimitation of Parking range ensure that enough parking lot selection spaces, in turn ensure
Distance of the parking lot of final choice apart from destination.This step has established the practicability and intelligence of the quick finding method in the parking stall
Energyization basis.
S3, calculating cycle, segmentum intercalaris when being divided in calculating cycle according to time interval value are obtained according to time span threshold value
Point.In this way, calculating cycle has current time, extension of time length threshold is formed forward, and is made of multiple time interval values,
The point of interface of adjacent time interval value is as timing node.For example, in the present embodiment, time span threshold value is 30 minutes, when
Between spacing value be 5 minutes, current time 9：00.Then in the present embodiment, calculating cycle 8：30 to 9：00, each timing node point
It is not：8：30、8：35、8：40、8：45、8：50、8：55、9：00.
In present embodiment, time span threshold value is the integral multiple of time interval value, to facilitate division timing node.
S4, the remaining parking stall quantity for obtaining each alternative parking lot on each timing node, and for each alternative parking field computation
The average value of remaining parking stall quantity is as the first weights on each node.With reference to above example, it is assumed that some alternative parking lot exists
Timing node 8：30、8：35、8：40、8：45、8：50、8：55、9：Remaining parking stall quantity on 00 is respectively：3、3、4、4、3、2、
1, then first weights in the parking lot are the ≈ of (3+3+4+4+3+2+1)/7 2.86.
S5, the remaining parking stall quantity in each alternative parking lot on a nearest timing node is obtained as the second weights.For example,
In above example, second weights in example parking lot are it 9：The remaining parking stall quantity i.e. 1 at 00 this moment.
S61, the product of each alternative the first weights of parking lot and the second weights is calculated as feature weight.For example, show above
Feature weight=2.86 × the 1=2.86 in parking lot in example.
S62, the alternative parking lot that feature weight is 0 is filtered out.The situation that feature weight is 0 represents the first weights and second
There are one be 0 in weights.Since the first weights are average value, the first weights are 0 possibility very little, and the first weights are 0, are represented
Corresponding parking position is in tension always, the possibility very little that can smoothly stop；Second weights are 0, represent to work as
The preceding parking lot is without remaining parking stall.As it can be seen that with reference to step S61 and S62, alternative parking lot residue parking stall possibility is deleted very
Small parking lot.
S63, remaining alternative parking lot is included by first set and second set according to feature weight respectively.This step has
Body is：First set is included into the alternative parking lot that feature weight is less than to predetermined threshold value, feature weight is greater than or equal to default
It is included into second set in the alternative parking lot of threshold value.Feature weight illustrates the loose degree of parking lot residue parking stall, value size
Directly illustrate the possibility that can smoothly stop.In present embodiment, alternative parking lot is divided by predetermined threshold value, favorably
After classifying by feature weight to alternative parking lot, artificial screening is carried out in conjunction with factors such as distances.
S7, the parking lot in first set and second set is marked on navigation map.Specifically, navigation map
On, the parking lot in identity set is marked with same color, and the parking lot in different sets is marked with different colors, so as to fast
Speed screening.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited thereto,
Any one skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (6)
1. a kind of quick finding method in parking stall, which is characterized in that include the following steps：
S1, time interval value, time span threshold value, distance threshold and destination are obtained；
S2, it obtains distance apart from destination and is less than or equal to the parking lot of distance threshold alternately parking lot；
S3, calculating cycle is obtained according to time span threshold value, timing node is divided according to time interval value in calculating cycle；
S4, the remaining parking stall quantity for obtaining each alternative parking lot on each timing node, and respectively saved for each alternative parking field computation
The average value of remaining parking stall quantity is as the first weights on point；
S5, the remaining parking stall quantity in each alternative parking lot on a nearest timing node is obtained as the second weights；
S6, each alternative parking lot is filtered out according to the first weights and the second weights, and remaining alternative parking lot is distinguished
It is included into preset first set and second set；
S7, the parking lot in first set and second set is marked on navigation map.
2. the quick finding method in parking stall as described in claim 1, which is characterized in that in step S7, on navigation map, same collection
Parking lot in conjunction is marked with same color, and the parking lot in different sets is marked with different colors.
3. the quick finding method in parking stall as described in claim 1, which is characterized in that in step S1, time span threshold value is more than
10 minutes, time interval value was more than 1 minute.
4. the quick finding method in parking stall as described in claim 1 or 3, which is characterized in that time span threshold value is time interval
The integral multiple of value.
5. the quick finding method in parking stall as described in claim 1, which is characterized in that step S6 specifically includes following steps：
S61, the product of each alternative the first weights of parking lot and the second weights is calculated as feature weight；
S62, the alternative parking lot that feature weight is 0 is filtered out；
S63, remaining alternative parking lot is included by first set and second set according to feature weight respectively.
6. the quick finding method in parking stall as claimed in claim 5, which is characterized in that step S63 is specially：Feature weight is small
First set is included into the alternative parking lot of predetermined threshold value, the alternative parking lot that feature weight is greater than or equal to predetermined threshold value is returned
Enter second set.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711394993.5A CN108133615A (en) | 2017-12-21 | 2017-12-21 | A kind of quick finding method in parking stall |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711394993.5A CN108133615A (en) | 2017-12-21 | 2017-12-21 | A kind of quick finding method in parking stall |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108133615A true CN108133615A (en) | 2018-06-08 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711394993.5A Withdrawn CN108133615A (en) | 2017-12-21 | 2017-12-21 | A kind of quick finding method in parking stall |
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| CN (1) | CN108133615A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110111599A (en) * | 2019-04-24 | 2019-08-09 | 网链科技集团有限公司 | A kind of parking induction method based on big data, terminal device and storage medium |
| CN114220290A (en) * | 2021-11-30 | 2022-03-22 | 广州领世汽车科技有限公司 | Method and system for automatically searching parking space and automatically parking vehicle |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080048885A1 (en) * | 2006-08-09 | 2008-02-28 | Quinn Joseph P | System and method for predicting parking spot availability |
| CN101470967A (en) * | 2007-12-28 | 2009-07-01 | 爱信艾达株式会社 | Navigation device and computer program |
| CN104169990A (en) * | 2012-02-01 | 2014-11-26 | 宝马股份公司 | Method for providing parking information on free parking spaces |
| CN105096636A (en) * | 2015-06-23 | 2015-11-25 | 中国联合网络通信集团有限公司 | Parking lot dynamic selection method and system |
| CN105513414A (en) * | 2015-12-25 | 2016-04-20 | 江苏东大金智信息系统有限公司 | Parking-lot parking space predication and recommendation method based on real-time traffic query and cloud model |
-
2017
- 2017-12-21 CN CN201711394993.5A patent/CN108133615A/en not_active Withdrawn
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080048885A1 (en) * | 2006-08-09 | 2008-02-28 | Quinn Joseph P | System and method for predicting parking spot availability |
| CN101470967A (en) * | 2007-12-28 | 2009-07-01 | 爱信艾达株式会社 | Navigation device and computer program |
| CN104169990A (en) * | 2012-02-01 | 2014-11-26 | 宝马股份公司 | Method for providing parking information on free parking spaces |
| CN105096636A (en) * | 2015-06-23 | 2015-11-25 | 中国联合网络通信集团有限公司 | Parking lot dynamic selection method and system |
| CN105513414A (en) * | 2015-12-25 | 2016-04-20 | 江苏东大金智信息系统有限公司 | Parking-lot parking space predication and recommendation method based on real-time traffic query and cloud model |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110111599A (en) * | 2019-04-24 | 2019-08-09 | 网链科技集团有限公司 | A kind of parking induction method based on big data, terminal device and storage medium |
| CN110111599B (en) * | 2019-04-24 | 2021-10-15 | 网链科技集团有限公司 | Parking guidance method based on big data, terminal equipment and storage medium |
| CN114220290A (en) * | 2021-11-30 | 2022-03-22 | 广州领世汽车科技有限公司 | Method and system for automatically searching parking space and automatically parking vehicle |
| CN114220290B (en) * | 2021-11-30 | 2022-12-20 | 广州领世汽车科技有限公司 | Method and system for automatically searching parking space and automatically parking vehicle |
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| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20180608 |
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