CN108205792A - A kind of city hot spot regional analysis and device - Google Patents
A kind of city hot spot regional analysis and device Download PDFInfo
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- CN108205792A CN108205792A CN201611169798.8A CN201611169798A CN108205792A CN 108205792 A CN108205792 A CN 108205792A CN 201611169798 A CN201611169798 A CN 201611169798A CN 108205792 A CN108205792 A CN 108205792A
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Abstract
The embodiment of the present invention provides a kind of city hot spot regional analysis and device, including：Obtain urban area to be analyzed and with the matched multiple traffic websites in urban area to be analyzed, then it is ridden to record the passenger for determining matched multiple traffic websites record by bus according to the passenger of public transportation system, is finally ridden to record the temperature for determining urban area to be analyzed according to the passenger of matched multiple traffic websites.In the embodiment of the present invention, by the way that traffic website is matched corresponding urban area, then urban area is recorded to be combined by bus with passenger and realize the analysis of urban area temperature, overcome single limitation that hot spot region analysis is carried out from passenger trajectory data.
Description
Technical field
The present embodiments relate to municipal intelligent traffic field more particularly to a kind of city hot spot regional analysis and dress
It puts.
Background technology
With the expansion of city size, the growth of urban population, urban congestion phenomenon frequently occurs.Meanwhile urban congestion
Bring the appearance of the problems of management such as traffic, the public security of congestion regions.Therefore, the interested city hot spot region of people is excavated,
The development of the smart cities such as the corresponding roading of traffic administration, city and corresponding regional location service to city has weight
Want meaning.At present in technology, hot spot region is studied, directly carries out hot spot region research including being based on track data, specifically
Process is the methods of turning to a serial of line sections or track is converted to grid sequence track data sequence, using clustering algorithm pair
Hot spot region cluster realizes that hot spot excavates.But the hot information that this method is reacted from track, it is not directed to urban area work(
Energy area definition, it is impossible to functionally realize analysis of central issue from urban area, there are limitations.
Invention content
The embodiment of the present invention provides a kind of city hot spot regional analysis and device, to solve in the prior art cannot
The problem of analysis of central issue is functionally realized from urban area.
An embodiment of the present invention provides a kind of city hot spot regional analysis, including：
Obtain urban area to be analyzed and with the matched multiple traffic websites in urban area to be analyzed；
It is ridden to record the passenger for determining matched multiple traffic websites note by bus according to the passenger of public transportation system
Record；
It is ridden to record the temperature for determining the urban area to be analyzed according to the passenger of matched multiple traffic websites.
Optionally, it is described obtain urban area to be analyzed and with the matched multiple traffic websites in urban area to be analyzed
Before, it further includes：
Urban area division is carried out according to the distribution of major trunk roads and the function of urban area；
Each traffic station point is carried out by de-redundancy according to the location information of each traffic website；
Each urban area after division is matched with each traffic station point after de-redundancy.
Optionally, the passenger of matched multiple traffic websites rides to record the outbound website probability for including traffic website
With the berthing time of traffic website；
It is ridden to record the temperature for determining the urban area to be analyzed according to the passenger of matched multiple traffic websites,
Including：
According to the passenger of the outbound website probability of matched multiple traffic websites, matched multiple traffic websites
Berthing time determines the temperature of the urban area to be analyzed.
Optionally, the passenger of matched multiple traffic websites records further include matched multiple traffic stations by bus
Passenger's transfer between passenger's transition probability and matched multiple traffic websites and non-matching traffic website between point is general
Rate, the non-matching website are and the unmatched traffic website in urban area to be analyzed；
The passenger according to matched multiple traffic websites, which rides to record, determines the urban area to be analyzed
Temperature, including：
According to the passenger of the outbound website probability of matched multiple traffic websites, matched multiple traffic websites
Passenger's transition probability and matched multiple traffic websites between berthing time, matched multiple traffic websites with it is non-
Passenger's transition probability between matching traffic website determines the temperature of the urban area to be analyzed.
Optionally, the passenger according to public transportation system, which rides to record, determines matched multiple traffic websites
Passenger records by bus, including：
For any one traffic website in matched multiple traffic websites, according to the public transportation system
Passenger rides to record the outbound number determined with the relevant passenger's total number of persons of the traffic website and the traffic website, according to institute
The outbound number for stating passenger's total number of persons and the traffic website determines the outbound website probability of the traffic website；
According to passenger the traffic website the outbound moment and enter the station constantly determine the traffic website berthing time；
Determine that the outbound passenger of the traffic website changes to the first number of the traffic website in the urban area to be analyzed
Amount according to the outbound number of first quantity and the traffic website, is determined between matched multiple traffic websites
Passenger's transition probability；
Determine that the outbound passenger of the traffic website changes to the non-matching traffic website outside the urban area to be analyzed
Second quantity according to second quantity and the outbound number of the traffic website, determines matched multiple traffic websites
With passenger's transition probability between non-matching traffic website.
Correspondingly, the embodiment of the present invention additionally provides a kind of city hot spot regional analysis device, including：
Acquisition module, for obtain urban area to be analyzed and with the matched multiple traffic stations in urban area to be analyzed
Point；
Processing module determines matched multiple traffic websites for being recorded by bus according to the passenger of public transportation system
Passenger by bus record；
Analysis module determines the city to be analyzed for being recorded by bus according to the passenger of matched multiple traffic websites
The temperature in city region.
Optionally, the acquisition module is additionally operable to：
Obtain urban area to be analyzed and with the matched multiple traffic websites in urban area to be analyzed before, according to
The distribution of major trunk roads and the function of urban area carry out urban area division；
Each traffic station point is carried out by de-redundancy according to the location information of each traffic website；
Each urban area after division is matched with each traffic station point after de-redundancy.
Optionally, the processing module has and is used for：
According to the passenger of matched multiple traffic websites ride to record the outbound website probability for determining traffic website and
The berthing time of traffic website；
The analysis module is specifically used for：
According to the passenger of the outbound website probability of matched multiple traffic websites, matched multiple traffic websites
Berthing time determines the temperature of the urban area to be analyzed.
Optionally, the processing module is additionally operable to：
It is recorded by bus according to the passenger of matched multiple traffic websites and also determines matched multiple traffic websites
Between passenger's transition probability and matched multiple traffic websites and non-matching traffic website between passenger's transition probability,
The non-matching website be and the unmatched traffic website in urban area to be analyzed；
The analysis module is specifically used for：According to the outbound website probability of matched multiple traffic websites, described
Passenger's transition probability between passenger's berthing time of multiple traffic websites for matching, matched multiple traffic websites and described
Passenger's transition probability between matched multiple traffic websites and non-matching traffic website determines the urban area to be analyzed
Temperature.
Optionally, the processing module has and is used for：
For any one traffic website in matched multiple traffic websites, according to the public transportation system
Passenger rides to record the outbound number determined with the relevant passenger's total number of persons of the traffic website and the traffic website, according to institute
The outbound number for stating passenger's total number of persons and the traffic website determines the outbound website probability of the traffic website；
According to passenger the traffic website the outbound moment and enter the station constantly determine the traffic website berthing time；
Determine that the outbound passenger of the traffic website changes to the first number of the traffic website in the urban area to be analyzed
Amount according to the outbound number of first quantity and the traffic website, is determined between matched multiple traffic websites
Passenger's transition probability；
Determine that the outbound passenger of the traffic website changes to the non-matching traffic website outside the urban area to be analyzed
Second quantity according to second quantity and the outbound number of the traffic website, determines matched multiple traffic websites
With passenger's transition probability between non-matching traffic website.
The embodiment of the present invention show to obtain urban area to be analyzed and with the matched multiple traffic stations in urban area to be analyzed
Then point rides to record the passenger for determining matched multiple traffic websites record by bus according to the passenger of public transportation system, most
It is ridden to record the temperature for determining urban area to be analyzed according to the passenger of matched multiple traffic websites afterwards.The embodiment of the present invention
In, by the way that traffic website is matched corresponding urban area, then urban area with passenger is recorded by bus and is combined realization
Urban area temperature analysis, overcomes single limitation that hot spot region analysis is carried out from passenger trajectory data.
Description of the drawings
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly introduced, it should be apparent that, the accompanying drawings in the following description is only some embodiments of the present invention, for this
For the those of ordinary skill in field, without having to pay creative labor, it can also be obtained according to these attached drawings
His attached drawing.
Fig. 1 (a) is the stroke recording schematic diagram of passenger provided in an embodiment of the present invention；
The transfer that Fig. 1 (b) is passenger provided in an embodiment of the present invention records schematic diagram；
Fig. 2 is a kind of flow diagram of city hot spot regional analysis provided in an embodiment of the present invention；
Fig. 3 is urban area provided in an embodiment of the present invention and the matched schematic diagram of traffic website；
Fig. 4 is the flow diagram of another city hot spot regional analysis provided in an embodiment of the present invention；
Fig. 5 is a kind of structure diagram of city hot spot regional analysis device provided in an embodiment of the present invention.
Specific embodiment
In order to which the purpose of the present invention, technical solution and advantageous effect is more clearly understood, below in conjunction with attached drawing and implementation
Example, the present invention will be described in further detail.It should be appreciated that specific embodiment described herein is only used to explain this hair
It is bright, it is not intended to limit the present invention.
In the embodiment of the present invention, the data analyzed city hot spot region come from public transport or subway public transportation system
Passenger record data, urban information point data and city bus subway line and station data by bus.Lead in specific implementation
It crosses and above-mentioned data is handled to obtain the required sample data of the embodiment of the present invention, specially：It unites according to set period of time
Recording by bus for each passenger is counted, set period of time can take one day or one week etc..If for one day, to each passenger's
Record is summarized by bus, and the record of riding of each passenger includes stroke recording, transfer record, each passenger note by bus of one day
Record is as a sample data.The content of a sample data in the embodiment of the present invention is exemplified below.Fig. 1 (a) is passenger
Stroke recording schematic diagram.As shown in Fig. 1 (a), which has recorded three sections of stroke recordings of the passenger, be traffic website 1 respectively to
Traffic website 3, traffic website 3 to traffic website 5, traffic website 5 to traffic website 1.Correspondingly, Fig. 1 (b) is illustrated
The transfer record of the passenger.As shown in Fig. 1 (b), the passenger is 7:10 enter the station from traffic website 1,7 after the transfer of traffic website 2:
40 is outbound from traffic website 3, the passenger from traffic website 3 it is outbound after stopped a period of time, then 17:20 from traffic website 3
It enters the station, 18 after the transfer of traffic website 4:00 is outbound from traffic website 5, then from traffic website 5 it is outbound after stopped one section when
Between, later 19:45 enter the station from traffic website 5,20 after the transfer of traffic website 6:30 is outbound from traffic website 1.In statistical sample
During data, the passenger of statistics record by bus data there may be some passenger in noise and redundancy, such as public transportation system into
Stand record the outbound record of no corresponding passenger or record that passenger is once entered the station is there are multiple outbound records etc., for
It need to be to record denoising and de-redundancy by bus during the data of record by bus of appearance noise or redundancy.The embodiment of the present invention multiplies from each
Visitor by bus record set out, while will by bus record divided by stroke recording after denoising de-redundancy, so as to improve data
Preprocessing process.
The embodiment of the present invention is described in further detail with reference to the accompanying drawings of the specification.
Fig. 2 examples show a kind of flow of city hot spot regional analysis provided in an embodiment of the present invention, the flow
It can be performed by city hot spot regional analysis device.
As shown in Fig. 2, the specific steps of the flow include：
Step S201, obtain urban area to be analyzed and with the matched multiple traffic websites in urban area to be analyzed.
Step S202, the passenger for riding to record determining matched multiple traffic websites according to the passenger of public transportation system multiply
Vehicle records.
Step S203 rides to record the heat for determining urban area to be analyzed according to the passenger of matched multiple traffic websites
Degree.
In step s 201, obtain urban area to be analyzed and with the matched multiple traffic websites in urban area to be analyzed it
Before, urban area division is carried out according to the distribution of major trunk roads and the function of urban area, then according to the position of each traffic website
Each traffic station point is carried out de-redundancy by information, finally carries out each traffic station point behind each urban area after division and de-redundancy
Matching.The function of urban area includes residential quarter, school district, shopping area, public place of entertainment, hospital, scenic spot etc. in specific implementation, by city
City region is divided according to major trunk roads, and urban area is carried out gridding according to the function of urban area, it is specific as shown in figure 3,
Urban area is divided by school district and residential quarter according to the function of the distribution of major trunk roads and urban area, exists in total in Fig. 3 and hands over
Logical website A, traffic website B, traffic website C, traffic website D, traffic website E, traffic website F.Exist around its high school district and hand over
Logical website A, traffic website B, traffic website E, there are traffic website B, traffic website D, traffic website F around residential quarter.It will hand over
Logical website A, traffic website B, traffic website E are determined as the matching traffic website of school district, by traffic website B, traffic website D, hand over
Logical website F is determined as the matching traffic website of residential quarter.It it should be noted that may not only only around specific implementation high school district
There are traffic website A, traffic website B, traffic website E, it, can be by the traffic at same crossing in order to reduce the redundancy of traffic website
Website merges, and the traffic website after most merging at last is matched with urban area.
In step S202, ridden to record multiplying for determining matched multiple traffic websites according to the passenger of public transportation system
Visitor records by bus, is recorded by bus according to the passenger of matched multiple traffic websites determine that the outbound website of each traffic website is general later
The berthing time of rate and each traffic website.The method of the specific outbound website probability for seeking traffic website is：For matched multiple
Any one traffic website in traffic website according to the passenger of public transportation system is recorded and is determined and the traffic website phase by bus
Passenger's total number of persons of pass and the outbound number of the traffic website, determine to hand over according to the outbound number of passenger's total number of persons and traffic website
The outbound website probability of logical website.Such as number outbound from traffic website 3 shown in FIG. 1 is 100 people in one day, public friendship
In this day recorded in way system and 3 relevant passenger's total number of persons of traffic website is 1000 people, then traffic website 3 in this day
Outbound-user ratio for 100/1000=1/10, after the outbound-user ratio by counting traffic website 3 in a period of time, root
The outbound-user ratio of traffic website 3 according to statistics calculates the outbound website probability of traffic website 3, wherein a period of time can be
One month, 1 year etc..The method of the specific berthing time for seeking traffic website is：According to passenger traffic website the outbound moment
With the berthing time that determines traffic website constantly of entering the station, such as passenger shown in FIG. 17:40 from traffic website 3 it is outbound after 17:20
It enters the station from traffic website 3, then the passenger is 7 40 minutes hours in the berthing time of traffic website 3.If passenger shown in FIG. 1
7:40 from traffic website 3 it is outbound after 17:The 20 traffic website 3a near traffic website 3 enters the station, and passenger is in traffic website 3 at this time
Berthing time be still 7 40 minutes hours.By counting all passengers outbound from traffic website 3 in a period of time
Berthing time can determine the berthing time of traffic website 3, wherein a period of time can be one month, 1 year etc..It is obtained
After the outbound website probability and berthing time of the multiple traffic websites matched, according to the outbound website of matched multiple traffic websites
Probability, matched multiple traffic websites passenger's berthing time can determine the temperature of urban area to be analyzed.Such as such as Fig. 3 institutes
Show, determine with the matched traffic website A in school district, traffic website B, traffic website E outbound website probability and berthing time after, root
The temperature of school district is determined according to traffic website A, traffic website B, the outbound website probability of traffic website E and berthing time.
In specific implementation, the temperature of urban area not only only with the outbound website probability of matched multiple traffic websites,
Berthing time is related, also passenger's transition probability between matched multiple traffic websites and matched multiple traffic websites with it is non-
The passenger's transition probability matched between traffic website is related, wherein non-matching website is and the unmatched friendship in urban area to be analyzed
Logical website.Passenger's transition probability computational methods between matched multiple traffic websites are：Determine the outbound passenger of traffic website
The first quantity of the traffic website in urban area to be analyzed is changed to, according to the outbound number of the first quantity and traffic website, really
Passenger's transition probability between fixed matched multiple traffic websites.Between matched multiple traffic websites and non-matching traffic website
Passenger's transition probability computational methods be：Determine that the outbound passenger of traffic website changes to the non-matching friendship outside urban area to be analyzed
Second quantity of logical website, according to the second quantity and the outbound number of the traffic website, determines matched multiple traffic websites
With passenger's transition probability between non-matching traffic website.In the embodiment of the present invention, traffic station is calculated based on markoff process
Transition probability between point reflects the transfer relationship between traffic website.For example, using school district shown in Fig. 3 as city to be analyzed
City region is traffic website A, traffic website B, traffic website E with the matched traffic website in school district, and non-matching traffic website is hands over
Logical website C, traffic website D, traffic website F.Count set period of time in from patronage outbound traffic website A be 1000
People, the passenger outbound from traffic website A is entered the station by bus successively after stopping a period of time near traffic website A, wherein there is 500 people
It enters the station from traffic website A, there are 200 people to enter the station from traffic website B, there are 100 people to enter the station from traffic website E, have 90 people from traffic station
Point C enters the station, and has 60 people to enter the station from traffic website D, has 50 people to enter the station from traffic website F.Data based on above-mentioned statistics can be counted
It calculates and show that passenger's transition probability that traffic website A shift to traffic website B is 200/1000=1/5, traffic website A is to traffic station
Passenger's transition probability of point E transfers is 100/1000=1/10, passenger's transition probability that traffic website A is shifted to traffic website C
For 90/1000=9/100, traffic website A to passenger's transition probability that traffic website D is shifted be 60/1000=6/100, traffic
Passenger's transition probability that website A is shifted to traffic website F is 50/1000=5/100.It can be calculated according to above-mentioned same method
Obtain the passenger that traffic website B, traffic website C, traffic website D, traffic website E, traffic website F are shifted respectively to other websites
Transition probability finally obtains passenger's transition probability between all traffic websites.The embodiment of the present invention is based on Markov mistake
Journey calculates the transition probability between traffic website, makes urban area analytic process, has well to the stochastic Process Analysis of passenger
Application.
Further, multiplied according to the outbound website probability of matched multiple traffic websites, matched multiple traffic websites
Passenger's transition probability and matched multiple traffic websites and non-matching friendship between objective berthing time, matched multiple traffic websites
Passenger's transition probability between logical website determines the temperature of urban area to be analyzed.Such as according to and the matched traffic website in school district
A, traffic website B, the outbound website probability of traffic website E, berthing time, traffic website A, traffic website B, traffic website E it
Between passenger's transition probability and traffic website A, traffic website B, traffic website E and traffic website C, traffic website D, traffic station
Passenger's transition probability between point F can school district really temperature.It should be noted that matched multiple traffic websites is outbound
Passenger's transfer between website probability, passenger's berthing time of matched multiple traffic websites and matched multiple traffic websites is general
Rate and the temperature positive correlation of urban area to be analyzed, passenger's transition probability that non-matching traffic website is shifted to matching traffic website
The passenger's transition probability shifted with the temperature positive correlation of urban area to be analyzed, matching traffic website to non-matching traffic website
It is negatively correlated with the temperature of urban area to be analyzed.Although the method for the embodiment of the present invention by taking a urban area to be analyzed as an example into
Row temperature analytic explanation, but the method for the embodiment of the present invention is also applied for carrying out heat to urban areas multiple in entire city simultaneously
Degree analysis, then the obtained temperature of multiple urban areas is compared, determine the hot spot region in entire city.
Hot spot regional analysis in city provided in an embodiment of the present invention is described in detail below, as shown in figure 4, packet
It includes：
Step S401 carries out urban area division according to the distribution of major trunk roads and the function of urban area.
Each traffic station point is carried out de-redundancy by step S402 according to the location information of each traffic website.
Step S403 matches each urban area after division with each traffic station point after de-redundancy.
Step S404, obtain urban area to be analyzed and with the matched multiple traffic websites in urban area to be analyzed.
Step S405, the passenger for riding to record determining matched multiple traffic websites according to the passenger of public transportation system multiply
Vehicle records.
Step S406, the outbound website for riding to record determining traffic website according to the passenger of matched multiple traffic websites are general
Passenger's transition probability between rate and berthing time and traffic website.
Step S407, according to the outbound website probability of matched multiple traffic websites, berthing time, matching traffic website it
Between passenger's transition probability and matching traffic website and non-matching traffic website between volume passenger's transition probability determine it is to be analyzed
Urban area temperature.
The embodiment of the present invention show to obtain urban area to be analyzed and with the matched multiple traffic stations in urban area to be analyzed
Then point rides to record the passenger for determining matched multiple traffic websites record by bus according to the passenger of public transportation system, most
It is ridden to record the temperature for determining urban area to be analyzed according to the passenger of matched multiple traffic websites afterwards.The embodiment of the present invention
In, by the way that traffic website is matched corresponding urban area, then urban area with passenger is recorded by bus and is combined realization
Urban area temperature analysis, overcomes single limitation that hot spot region analysis is carried out from passenger trajectory data.
Based on same idea, Fig. 5 illustratively shows a kind of city hot spot regional analysis provided in an embodiment of the present invention
The structure of device, the device can perform the flow of city hot spot regional analysis.
As shown in figure 5, the device includes：
Acquisition module 501, for obtain urban area to be analyzed and with the matched multiple friendships in urban area to be analyzed
Logical website；
Processing module 502 determines matched multiple traffic for being recorded by bus according to the passenger of public transportation system
The passenger of website records by bus；
Analysis module 503, for recorded by bus according to the passenger of matched multiple traffic websites determine described in treat point
Analyse the temperature of urban area.
Optionally, the acquisition module 501 is additionally operable to：
Obtain urban area to be analyzed and with the matched multiple traffic websites in urban area to be analyzed before, according to
The distribution of major trunk roads and the function of urban area carry out urban area division；
Each traffic station point is carried out by de-redundancy according to the location information of each traffic website；
Each urban area after division is matched with each traffic station point after de-redundancy.
Optionally, the processing module 502 has and is used for：
According to the passenger of matched multiple traffic websites ride to record the outbound website probability for determining traffic website and
The berthing time of traffic website；
The analysis module 503 is specifically used for：
According to the passenger of the outbound website probability of matched multiple traffic websites, matched multiple traffic websites
Berthing time determines the temperature of the urban area to be analyzed.
Optionally, the processing module 502 is additionally operable to：
It is recorded by bus according to the passenger of matched multiple traffic websites and also determines matched multiple traffic websites
Between passenger's transition probability and matched multiple traffic websites and non-matching traffic website between passenger's transition probability,
The non-matching website be and the unmatched traffic website in urban area to be analyzed；
The analysis module 503 is specifically used for：According to the outbound website probability of matched multiple traffic websites, described
Passenger's transition probability and institute between passenger's berthing time of matched multiple traffic websites, matched multiple traffic websites
The passenger's transition probability stated between matched multiple traffic websites and non-matching traffic website determines the urban area to be analyzed
Temperature.
Optionally, the processing module 502 has and is used for：
For any one traffic website in matched multiple traffic websites, according to the public transportation system
Passenger rides to record the outbound number determined with the relevant passenger's total number of persons of the traffic website and the traffic website, according to institute
The outbound number for stating passenger's total number of persons and the traffic website determines the outbound website probability of the traffic website；
According to passenger the traffic website the outbound moment and enter the station constantly determine the traffic website berthing time；
Determine that the outbound passenger of the traffic website changes to the first number of the traffic website in the urban area to be analyzed
Amount according to the outbound number of first quantity and the traffic website, is determined between matched multiple traffic websites
Passenger's transition probability；
Determine that the outbound passenger of the traffic website changes to the non-matching traffic website outside the urban area to be analyzed
Second quantity according to second quantity and the outbound number of the traffic website, determines matched multiple traffic websites
With passenger's transition probability between non-matching traffic website.
It should be understood by those skilled in the art that, the embodiment of the present invention can be provided as method or computer program product.
Therefore, complete hardware embodiment, complete software embodiment or the embodiment in terms of combining software and hardware can be used in the present invention
Form.It is deposited moreover, the present invention can be used to can be used in one or more computers for wherein including computer usable program code
The shape of computer program product that storage media is implemented on (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Formula.
The present invention be with reference to according to the method for the embodiment of the present invention, the flow of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that it can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided
The processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that the instruction performed by computer or the processor of other programmable data processing devices is generated for real
The device of function specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction generation being stored in the computer-readable memory includes referring to
Enable the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps are performed on calculation machine or other programmable devices to generate computer implemented processing, so as in computer or
The instruction offer performed on other programmable devices is used to implement in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Although preferred embodiments of the present invention have been described, but those skilled in the art once know basic creation
Property concept, then additional changes and modifications may be made to these embodiments.So appended claims be intended to be construed to include it is excellent
It selects embodiment and falls into all change and modification of the scope of the invention.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
God and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (10)
1. a kind of city hot spot regional analysis, which is characterized in that including：
Obtain urban area to be analyzed and with the matched multiple traffic websites in urban area to be analyzed；
It is ridden to record the passenger for determining matched multiple traffic websites record by bus according to the passenger of public transportation system；
It is ridden to record the temperature for determining the urban area to be analyzed according to the passenger of matched multiple traffic websites.
2. the method as described in claim 1, which is characterized in that it is described obtain urban area to be analyzed and with the city to be analyzed
Before the matched multiple traffic websites in city region, further include：
Urban area division is carried out according to the distribution of major trunk roads and the function of urban area；
Each traffic station point is carried out by de-redundancy according to the location information of each traffic website；
Each urban area after division is matched with each traffic station point after de-redundancy.
3. the method as described in claim 1, which is characterized in that the passenger of matched multiple traffic websites records packet by bus
Include the outbound website probability of traffic website and the berthing time of traffic website；
It is ridden to record the temperature for determining the urban area to be analyzed, packet according to the passenger of matched multiple traffic websites
It includes：
It is stopped according to the passenger of the outbound website probability of matched multiple traffic websites, matched multiple traffic websites
Time determines the temperature of the urban area to be analyzed.
4. method as claimed in claim 3, which is characterized in that the passenger of matched multiple traffic websites records also by bus
Including passenger's transition probability between matched multiple traffic websites and matched multiple traffic websites with it is non-matching
Passenger's transition probability between traffic website, the non-matching website are and the unmatched traffic station in urban area to be analyzed
Point；
The passenger according to matched multiple traffic websites rides to record the temperature for determining the urban area to be analyzed,
Including：
It is stopped according to the passenger of the outbound website probability of matched multiple traffic websites, matched multiple traffic websites
Passenger's transition probability and matched multiple traffic websites between time, matched multiple traffic websites with it is non-matching
Passenger's transition probability between traffic website determines the temperature of the urban area to be analyzed.
5. method as claimed in claim 4, which is characterized in that the passenger according to public transportation system records determine by bus
The passenger of matched multiple traffic websites records by bus, including：
For any one traffic website in matched multiple traffic websites, according to the passenger of the public transportation system
Record determines the outbound number with the relevant passenger's total number of persons of the traffic website and the traffic website by bus, is multiplied according to described
The outbound number of objective total number of persons and the traffic website determines the outbound website probability of the traffic website；
According to passenger the traffic website the outbound moment and enter the station constantly determine the traffic website berthing time；
Determine that the outbound passenger of the traffic website changes to the first quantity of the traffic website in the urban area to be analyzed, root
According to first quantity and the outbound number of the traffic website, determine that the passenger between matched multiple traffic websites turns
Move probability；
Determine that the outbound passenger of the traffic website changes to second of the non-matching traffic website outside the urban area to be analyzed
Quantity, according to the outbound number of second quantity and the traffic website, determine matched multiple traffic websites with it is non-
Match passenger's transition probability between traffic website.
6. a kind of city hot spot regional analysis device, which is characterized in that including：
Acquisition module, for obtain urban area to be analyzed and with the matched multiple traffic websites in urban area to be analyzed；
Processing module determines multiplying for matched multiple traffic websites for riding to record according to the passenger of public transportation system
Visitor records by bus；
Analysis module determines the metropolitan district to be analyzed for being recorded by bus according to the passenger of matched multiple traffic websites
The temperature in domain.
7. device as claimed in claim 6, which is characterized in that the acquisition module is additionally operable to：
Obtain urban area to be analyzed and with the matched multiple traffic websites in urban area to be analyzed before, according to trunk
The distribution in road and the function of urban area carry out urban area division；
Each traffic station point is carried out by de-redundancy according to the location information of each traffic website；
Each urban area after division is matched with each traffic station point after de-redundancy.
8. device as claimed in claim 6, which is characterized in that the processing module, which has, to be used for：
It is ridden to record the outbound website probability and the traffic that determine traffic website according to the passenger of matched multiple traffic websites
The berthing time of website；
The analysis module is specifically used for：
It is stopped according to the passenger of the outbound website probability of matched multiple traffic websites, matched multiple traffic websites
Time determines the temperature of the urban area to be analyzed.
9. device as claimed in claim 8, which is characterized in that the processing module is additionally operable to：
According between the passenger of matched multiple traffic websites by bus also determining matched multiple traffic websites of record
Passenger's transition probability and matched multiple traffic websites and non-matching traffic website between passenger's transition probability, it is described
Non-matching website be and the unmatched traffic website in urban area to be analyzed；
The analysis module is specifically used for：According to the outbound website probability of matched multiple traffic websites, described matched
Passenger's transition probability and the matching between passenger's berthing time of multiple traffic websites, matched multiple traffic websites
Multiple traffic websites and non-matching traffic website between passenger's transition probability determine the temperature of the urban area to be analyzed.
10. device as claimed in claim 9, which is characterized in that the processing module, which has, to be used for：
For any one traffic website in matched multiple traffic websites, according to the passenger of the public transportation system
Record determines the outbound number with the relevant passenger's total number of persons of the traffic website and the traffic website by bus, is multiplied according to described
The outbound number of objective total number of persons and the traffic website determines the outbound website probability of the traffic website；
According to passenger the traffic website the outbound moment and enter the station constantly determine the traffic website berthing time；
Determine that the outbound passenger of the traffic website changes to the first quantity of the traffic website in the urban area to be analyzed, root
According to first quantity and the outbound number of the traffic website, determine that the passenger between matched multiple traffic websites turns
Move probability；
Determine that the outbound passenger of the traffic website changes to second of the non-matching traffic website outside the urban area to be analyzed
Quantity, according to the outbound number of second quantity and the traffic website, determine matched multiple traffic websites with it is non-
Match passenger's transition probability between traffic website.
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| CN109523186A (en) * | 2018-11-28 | 2019-03-26 | 杭州中奥科技有限公司 | Urban area partitioning method and device |
| CN110428627A (en) * | 2019-08-28 | 2019-11-08 | 北京元光智行信息技术有限公司 | A kind of bus trip potentiality area recognizing method and identifying system |
| CN110689362A (en) * | 2018-07-04 | 2020-01-14 | 北京嘀嘀无限科技发展有限公司 | Region clustering method and system |
| CN111046303A (en) * | 2019-11-20 | 2020-04-21 | 北京文安智能技术股份有限公司 | Automatic detection method, device and system for hot spot area |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110689362A (en) * | 2018-07-04 | 2020-01-14 | 北京嘀嘀无限科技发展有限公司 | Region clustering method and system |
| CN110689362B (en) * | 2018-07-04 | 2022-04-12 | 北京嘀嘀无限科技发展有限公司 | Region clustering method and system |
| CN109523186A (en) * | 2018-11-28 | 2019-03-26 | 杭州中奥科技有限公司 | Urban area partitioning method and device |
| CN109523186B (en) * | 2018-11-28 | 2021-02-09 | 杭州中奥科技有限公司 | Urban area division method and device |
| CN110428627A (en) * | 2019-08-28 | 2019-11-08 | 北京元光智行信息技术有限公司 | A kind of bus trip potentiality area recognizing method and identifying system |
| CN111046303A (en) * | 2019-11-20 | 2020-04-21 | 北京文安智能技术股份有限公司 | Automatic detection method, device and system for hot spot area |
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