CN108319647A - A kind of social networks discovery method and terminal based on floating car technology - Google Patents

A kind of social networks discovery method and terminal based on floating car technology Download PDF

Info

Publication number
CN108319647A
CN108319647A CN201711440110.XA CN201711440110A CN108319647A CN 108319647 A CN108319647 A CN 108319647A CN 201711440110 A CN201711440110 A CN 201711440110A CN 108319647 A CN108319647 A CN 108319647A
Authority
CN
China
Prior art keywords
travelling data
data set
obtains
information
owner information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201711440110.XA
Other languages
Chinese (zh)
Inventor
廖律超
蒋新华
潘正祥
邹复民
蔡祈钦
何栋炜
钟伦贵
胡蓉
刘洁锐
张涛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Fujian University of Technology
Original Assignee
Fujian University of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Fujian University of Technology filed Critical Fujian University of Technology
Priority to CN201711440110.XA priority Critical patent/CN108319647A/en
Publication of CN108319647A publication Critical patent/CN108319647A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2465Query processing support for facilitating data mining operations in structured databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462Approximate or statistical queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/01Social networking

Abstract

The present invention provides a kind of social networks discovery method and terminal based on floating car technology, according to travelling data and preset cartographic information, acquire residential quarter travelling data set and Office Area travelling data set, and pass through statistical analysis, obtain the first owner information set for neighborhood, and the third owner information set for Peer Relationships;The present invention passes through the above method, according to the travelling data of Floating Car, the social networks between car owner can be effectively judged, can push corresponding promotion message according to the social networks for judging to obtain, the present invention has a good application prospect in terms of information push, improves the utilization rate of information.

Description

A kind of social networks discovery method and terminal based on floating car technology
Technical field
The present invention relates to Data Mining technical field more particularly to a kind of social networks hairs based on floating car technology Existing method and terminal.
Background technology
Data (Data) are a kind of expression-forms to true, concept or instruction, can set progress by manual or automatic makeup Processing.Data become after explanation and assigning certain meaning as information.With the arrival in big data epoch, traffic is big It stores the data informations such as the wheelpath of magnanimity in data, there is huge researching value.So, how analysis mining its deposit Valuable information, it is problem to improve information utilization.
Invention content
The technical problem to be solved by the present invention is to:A kind of social networks hair based on floating car technology provided by the invention Existing method and terminal, can effectively judge the social networks between the corresponding car owner of Floating Car, have in terms of information push Good application prospect improves the utilization rate of information.
In order to solve the above technical problem, the present invention provides a kind of social networks discovery side based on floating car technology Method includes the following steps:
S1:The travelling data that the car-mounted terminal of Floating Car is sent is obtained, the first travelling data sequence is obtained;The driving number According to position, speed, timestamp and owner information including Floating Car;
S2:According to the first travelling data sequence and preset cartographic information, obtains position and be located at floating in residential quarter The travelling data of motor-car obtains residential quarter travelling data set, and obtains the driving number that position is located at Floating Car in Office Area According to obtaining Office Area travelling data set;The cartographic information include residential quarter first position information and Office Area second Location information;
S3:According to residential quarter travelling data set, it is 0 corresponding to obtain and preset travelling data medium velocity in first time period Owner information obtains the first owner information set;
S4:According to the Office Area travelling data set, statistical analysis obtains driving into Office Area within default two periods And corresponding second owner information of Floating Car stopped in the Office Area, obtain the second owner information set;And obtain institute The corresponding owner information of Floating Car for sailing out of Office Area in the second owner information set within the default third period is stated, obtains the Three owner information set;
S5:It is neighborhood, and the output third vehicle to export all car owners in the first owner information set All car owners in main information set are Peer Relationships.
The present invention also provides a kind of, and the social networks based on floating car technology find terminal, including memory, processor And storage is on a memory and the computer program that can run on a processor, when the processor executes described program realization with Lower step:
S1:The travelling data that the car-mounted terminal of Floating Car is sent is obtained, the first travelling data sequence is obtained;The driving number According to position, speed, timestamp and owner information including Floating Car;
S2:According to the first travelling data sequence and preset cartographic information, obtains position and be located at floating in residential quarter The travelling data of motor-car obtains residential quarter travelling data set, and obtains the driving number that position is located at Floating Car in Office Area According to obtaining Office Area travelling data set;The cartographic information include residential quarter first position information and Office Area second Location information;
S3:According to residential quarter travelling data set, it is 0 corresponding to obtain and preset travelling data medium velocity in first time period Owner information obtains the first owner information set;
S4:According to the Office Area travelling data set, statistical analysis obtains driving into Office Area within default two periods And corresponding second owner information of Floating Car stopped in the Office Area, obtain the second owner information set;And obtain institute The corresponding owner information of Floating Car for sailing out of Office Area in the second owner information set within the default third period is stated, obtains the Three owner information set;
S5:It is neighborhood, and the output third vehicle to export all car owners in the first owner information set All car owners in main information set are Peer Relationships.
Beneficial effects of the present invention are:
The present invention provides a kind of social networks discovery method and terminal based on floating car technology, according to travelling data and in advance If cartographic information, acquire residential quarter travelling data set and Office Area travelling data set, and by statistical analysis, obtain To the first owner information set for neighborhood, and it is the third owner information set of Peer Relationships;The present invention passes through upper Method is stated, according to the travelling data of Floating Car, can effectively judge the social networks between car owner, relevant information can be carried out and pushed away It send, is pushed away for example, can the businessman that account is sent around life interesting episode and residential quarter corresponding to all car owners of neighborhood be communicated It delivers letters breath, or QQ groups or wechat group can be created, so that neighbours according to the corresponding communication account of all car owners of all neighborhoods Between carry out effective communication, avoid neighbours in city from lacking and link up, make the problem of neighbours in city are just as stranger;Meanwhile root According to the communication information in the third owner information set of Peer Relationships, colleague QQ groups or wechat group are created, is promoted between working together Effective communication and share-the-work study document etc.;The present invention can effectively judge the society between car owner by the above method Friendship relationship has a good application prospect in terms of information push, improves the utilization rate of information.
Description of the drawings
Fig. 1 is the key step that method is found according to a kind of social networks based on floating car technology of the embodiment of the present invention Schematic diagram;
Fig. 2 is the structural representation that terminal is found according to a kind of social networks based on floating car technology of the embodiment of the present invention Figure;
Label declaration:
1, memory;2, processor.
Specific implementation mode
To explain the technical content, the achieved purpose and the effect of the present invention in detail, below in conjunction with embodiment and coordinate attached Figure is explained in detail.
Most critical of the present invention is contemplated that:According to travelling data and preset cartographic information, residential quarter driving is acquired Data acquisition system and Office Area travelling data set, and by statistical analysis, the first owner information set for neighborhood is obtained, And the third owner information set for Peer Relationships.
The owner information of the present invention includes owner name and communication account.
Fig. 1 is please referred to, the present invention provides a kind of, and the social networks based on floating car technology find method, including following step Suddenly:
S1:The travelling data that the car-mounted terminal of Floating Car is sent is obtained, the first travelling data sequence is obtained;The driving number According to position, speed, timestamp and owner information including Floating Car;
S2:According to the first travelling data sequence and preset cartographic information, obtains position and be located at floating in residential quarter The travelling data of motor-car obtains residential quarter travelling data set, and obtains the driving number that position is located at Floating Car in Office Area According to obtaining Office Area travelling data set;The cartographic information include residential quarter first position information and Office Area second Location information;
S3:According to residential quarter travelling data set, it is 0 corresponding to obtain and preset travelling data medium velocity in first time period Owner information obtains the first owner information set;
S4:According to the Office Area travelling data set, statistical analysis obtains driving into Office Area within default two periods And corresponding second owner information of Floating Car stopped in the Office Area, obtain the second owner information set;And obtain institute The corresponding owner information of Floating Car for sailing out of Office Area in the second owner information set within the default third period is stated, obtains the Three owner information set;
S5:It is neighborhood, and the output third vehicle to export all car owners in the first owner information set All car owners in main information set are Peer Relationships.
As can be seen from the above description, the present invention provides a kind of social networks discovery method based on floating car technology, according to row Car data and preset cartographic information acquire residential quarter travelling data set and Office Area travelling data set, and pass through Statistical analysis obtains the first owner information set for neighborhood, and the third owner information set for Peer Relationships;This Invention can effectively judge the social networks between car owner by the above method according to the travelling data of Floating Car, can carry out Relevant information pushes, for example, life interesting episode and residential quarter week can be sent to the corresponding communication account of all car owners of neighborhood The businessman's pushed information enclosed, or QQ groups or wechat can be created according to the corresponding communication account of all car owners of all neighborhoods Group avoids the neighbours in city from lacking and links up, make neighbours' asking just as stranger in city so as to carry out effective communication between neighbours Topic;Meanwhile according to the communication information in the third owner information set of Peer Relationships, colleague QQ groups or wechat group is created, is promoted Effective communication and share-the-work study document between colleague etc.;The present invention can effectively judge vehicle by the above method Social networks between master have a good application prospect in terms of information push, improve the utilization rate of information.
Further, further include after the S2:
According to the residential quarter travelling data set, the travelling data that timestamp belongs to weekend is acquired, weekend is obtained Travelling data set;
According to the element in the weekend travelling data set, same time period wheelpath having the same is acquired Travelling data owner information, obtain the 4th owner information set;
It is friend or relative relationship to export all car owners in the 4th owner information set.
As can be seen from the above description, in festivals or holidays between friends and family ,/weekend is certain to walk about/drops in, so here carrying What is taken is the travelling data of residential quarter.And according to the travelling data of residential quarter, it is having the same further to obtain same time period The owner information of the travelling data of wheelpath obtains the 4th owner information set (when friends and family goes out to have a meal together, trip Trip, time period wheelpath are identical), it can be carried out judging in this way;By the above method, it can accurately be retrieved as friend Or the corresponding 4th owner information set of relationship, it can be to the corresponding communication account of car owner in the 4th owner information set Corresponding tourist attractions information and information of having a dinner party are pushed, the utilization rate of information is improved.
Further, the S3 is specially:
According to residential quarter travelling data set, statistical analysis obtains the row of Floating Car static in the first time period Car data obtains the first travelling data set;
According to residential quarter travelling data set, statistical analysis obtains stopping after driving into residential quarter in the first time period, And the travelling data of the Floating Car of residential quarter is no longer sailed out of, obtain the second travelling data set;
Owner information all in the first travelling data set and the second travelling data set is obtained, obtains described One owner information set.
As can be seen from the above description, by the above method, the corresponding vehicle of all residents stayed in the residential quarter can be obtained Main information obtains the first owner information set, improves the accuracy of data acquisition.
Further, the S4 is specially:
According to the Office Area travelling data set, extraction obtains the driving number that timestamp belongs to default second time period According to, obtain working travelling data set;
According to the Office Area travelling data set, extraction obtains the driving number that timestamp belongs to the default third period According to obtaining the travelling data set of coming off duty;
According to the working travelling data set, obtains driving into Office Area by statistical analysis and stop in the Office Area The travelling data of the Floating Car of vehicle obtains the first working travelling data set;
According to the next travelling data set, obtain sailing out of the driving number of the Floating Car of Office Area by statistical analysis According to obtaining the first next travelling data set;
Obtain that there is identical vehicle according to the first working travelling data set and the first next travelling data set, extraction The travelling data of main information;
The owner information of the extraction travelling data with identical owner information, obtains the third owner information collection It closes.
As can be seen from the above description, by the above method, the owner information to work in same Office Area can be accurately obtained, Third owner information set is obtained, the accuracy obtained to the corresponding third owner information set of Peer Relationships is improved, makes society Hand over INFORMATION DISCOVERY more reliable and more stable.
Further, further include after the S5:
Default neighbor information;The neighbor information includes the first owner information set;
Default colleague's information, colleague's information includes the third owner information set;
Send each corresponding mobile terminal of the first owner information in the neighbor information to the first owner information set Or car-mounted terminal;
Send each corresponding mobile terminal of third owner information in colleague's information to third owner information set Or car-mounted terminal.
As can be seen from the above description, by the above method, corresponding car owner can be made to be retrieved as the owner information of neighborhood, And the owner information for Peer Relationships, the owner information include communication account, are made in colleague and backfence communication exchange.
Fig. 2 is please referred to, the social networks based on floating car technology that the present invention also provides a kind of finding terminal, including storage Device 1, processor 2 and it is stored in the computer program that can be run on memory 1 and on processor 2, the processor 2 executes institute Following steps are realized when stating program:
S1:The travelling data that the car-mounted terminal of Floating Car is sent is obtained, the first travelling data sequence is obtained;The driving number According to position, speed, timestamp and owner information including Floating Car;
S2:According to the first travelling data sequence and preset cartographic information, obtains position and be located at floating in residential quarter The travelling data of motor-car obtains residential quarter travelling data set, and obtains the driving number that position is located at Floating Car in Office Area According to obtaining Office Area travelling data set;The cartographic information include residential quarter first position information and Office Area second Location information;
S3:According to residential quarter travelling data set, it is 0 corresponding to obtain and preset travelling data medium velocity in first time period Owner information obtains the first owner information set;
S4:According to the Office Area travelling data set, statistical analysis obtains driving into Office Area within default two periods And corresponding second owner information of Floating Car stopped in the Office Area, obtain the second owner information set;And obtain institute The corresponding owner information of Floating Car for sailing out of Office Area in the second owner information set within the default third period is stated, obtains the Three owner information set;
S5:It is neighborhood, and the output third vehicle to export all car owners in the first owner information set All car owners in main information set are Peer Relationships.
Further, a kind of social networks based on floating car technology find terminal, further include after the S2:
According to the residential quarter travelling data set, the travelling data that timestamp belongs to weekend is acquired, weekend is obtained Travelling data set;
According to the element in the weekend travelling data set, same time period wheelpath having the same is acquired Travelling data owner information, obtain the 4th owner information set;
It is friend or relative relationship to export all car owners in the 4th owner information set.
Further, a kind of social networks based on floating car technology find that terminal, the S3 are specially:
According to residential quarter travelling data set, statistical analysis obtains the row of Floating Car static in the first time period Car data obtains the first travelling data set;
According to residential quarter travelling data set, statistical analysis obtains stopping after driving into residential quarter in the first time period, And the travelling data of the Floating Car of residential quarter is no longer sailed out of, obtain the second travelling data set;
Owner information all in the first travelling data set and the second travelling data set is obtained, obtains described One owner information set.
Further, a kind of social networks based on floating car technology find that terminal, the S4 are specially:
According to the Office Area travelling data set, extraction obtains the driving number that timestamp belongs to default second time period According to, obtain working travelling data set;
According to the Office Area travelling data set, extraction obtains the driving number that timestamp belongs to the default third period According to obtaining the travelling data set of coming off duty;
According to the working travelling data set, obtains driving into Office Area by statistical analysis and stop in the Office Area The travelling data of the Floating Car of vehicle obtains the first working travelling data set;
According to the next travelling data set, obtain sailing out of the driving number of the Floating Car of Office Area by statistical analysis According to obtaining the first next travelling data set;
Obtain that there is identical vehicle according to the first working travelling data set and the first next travelling data set, extraction The travelling data of main information;
The owner information of the extraction travelling data with identical owner information, obtains the third owner information collection It closes.
Further, a kind of social networks based on floating car technology find terminal, further include after the S5:
Default neighbor information;The neighbor information includes the first owner information set;
Default colleague's information, colleague's information includes the third owner information set;
Send each corresponding mobile terminal of the first owner information in the neighbor information to the first owner information set Or car-mounted terminal;
Send each corresponding mobile terminal of third owner information in colleague's information to third owner information set Or car-mounted terminal.
The embodiment of the present invention one is:
A kind of social networks based on floating car technology provided by the invention find method, include the following steps:
S1:The travelling data that the car-mounted terminal of Floating Car is sent is obtained, the first travelling data sequence is obtained;The driving number According to position, speed, timestamp and owner information including Floating Car;
Wherein, the travelling data is that the car-mounted terminal of Floating Car is collected according to the preset sampling period, when described Between stamp for the position of acquisition Floating Car and when speed, the timestamp that is shown on car-mounted terminal;The owner information is Floating Car The information of car owner's input, and owner information is stored in the memory of car-mounted terminal, the position of Floating Car is acquired on car-mounted terminal When setting with speed, corresponding timestamp is recorded and preserves, and after obtaining owner information in the memory of car-mounted terminal, it will be described Position, speed, timestamp and owner information are sent.
S2:According to the first travelling data sequence and preset cartographic information, obtains position and be located at floating in residential quarter The travelling data of motor-car obtains residential quarter travelling data set, and obtains the driving number that position is located at Floating Car in Office Area According to obtaining Office Area travelling data set;The cartographic information include residential quarter first position information and Office Area second Location information;
S3:According to the residential quarter travelling data set, the travelling data that timestamp belongs to weekend is acquired, week is obtained Footline car data set;According to the element in the weekend travelling data set, it is having the same to acquire same time period The owner information of the travelling data of wheelpath obtains the 4th owner information set;
S4:According to residential quarter travelling data set, it is 0 corresponding to obtain and preset travelling data medium velocity in first time period Owner information obtains the first owner information set;
The S4 is specially:
According to residential quarter travelling data set, statistical analysis obtains the row of Floating Car static in the first time period Car data obtains the first travelling data set;
According to residential quarter travelling data set, statistical analysis obtains stopping after driving into residential quarter in the first time period, And the travelling data of the Floating Car of residential quarter is no longer sailed out of, obtain the second travelling data set;
Owner information all in the first travelling data set and the second travelling data set is obtained, obtains described One owner information set.
Preferably, the first time period is morning 0-6 point.
S5:According to the Office Area travelling data set, statistical analysis obtains driving into Office Area within default two periods And corresponding second owner information of Floating Car stopped in the Office Area, obtain the second owner information set;And obtain institute The corresponding owner information of Floating Car for sailing out of Office Area in the second owner information set within the default third period is stated, obtains the Three owner information set;
The S5 is specially:
According to the Office Area travelling data set, extraction obtains the driving number that timestamp belongs to default second time period According to, obtain working travelling data set;
According to the Office Area travelling data set, extraction obtains the driving number that timestamp belongs to the default third period According to obtaining the travelling data set of coming off duty;
According to the working travelling data set, obtains driving into Office Area by statistical analysis and stop in the Office Area The travelling data of the Floating Car of vehicle obtains the first working travelling data set;
According to the next travelling data set, obtain sailing out of the driving number of the Floating Car of Office Area by statistical analysis According to obtaining the first next travelling data set;
Obtain that there is identical vehicle according to the first working travelling data set and the first next travelling data set, extraction The travelling data of main information;
The owner information of the extraction travelling data with identical owner information, obtains the third owner information collection It closes.
Preferably, the second time period is morning 8-9 point, and the third period is 17-18 points.
S6:It is neighborhood, and the output third vehicle to export all car owners in the first owner information set All car owners in main information set are Peer Relationships;Export all car owners in the 4th owner information set be friend or Relationship;
S7:Default neighbor information;The neighbor information includes the first owner information set;Default colleague's information, institute It includes the third owner information set to state colleague's information;Send each in the neighbor information to the first owner information set The corresponding mobile terminal of first owner information or car-mounted terminal;It sends each in colleague's information to third owner information set The corresponding mobile terminal of a third owner information or car-mounted terminal.
The embodiment of the present invention two is:
A kind of social networks based on floating car technology provided by the invention find terminal, including memory, processor and The computer program that can be run on a memory and on a processor is stored, the processor is realized following when executing described program Step:
S1:The travelling data that the car-mounted terminal of Floating Car is sent is obtained, the first travelling data sequence is obtained;The driving number According to position, speed, timestamp and owner information including Floating Car;
Wherein, the travelling data is that the car-mounted terminal of Floating Car is collected according to the preset sampling period, when described Between stamp for the position of acquisition Floating Car and when speed, the timestamp that is shown on car-mounted terminal;The owner information is Floating Car The information of car owner's input, and owner information is stored in the memory of car-mounted terminal, the position of Floating Car is acquired on car-mounted terminal When setting with speed, corresponding timestamp is recorded and preserves, and after obtaining owner information in the memory of car-mounted terminal, it will be described Position, speed, timestamp and owner information are sent.
S2:According to the first travelling data sequence and preset cartographic information, obtains position and be located at floating in residential quarter The travelling data of motor-car obtains residential quarter travelling data set, and obtains the driving number that position is located at Floating Car in Office Area According to obtaining Office Area travelling data set;The cartographic information include residential quarter first position information and Office Area second Location information;
S3:According to the residential quarter travelling data set, the travelling data that timestamp belongs to weekend is acquired, week is obtained Footline car data set;According to the element in the weekend travelling data set, it is having the same to acquire same time period The owner information of the travelling data of wheelpath obtains the 4th owner information set;
S4:According to residential quarter travelling data set, it is 0 corresponding to obtain and preset travelling data medium velocity in first time period Owner information obtains the first owner information set;
The S4 is specially:
According to residential quarter travelling data set, statistical analysis obtains the row of Floating Car static in the first time period Car data obtains the first travelling data set;
According to residential quarter travelling data set, statistical analysis obtains stopping after driving into residential quarter in the first time period, And the travelling data of the Floating Car of residential quarter is no longer sailed out of, obtain the second travelling data set;
Owner information all in the first travelling data set and the second travelling data set is obtained, obtains described One owner information set.
Preferably, the first time period is morning 0-6 point.
S5:According to the Office Area travelling data set, statistical analysis obtains driving into Office Area within default two periods And corresponding second owner information of Floating Car stopped in the Office Area, obtain the second owner information set;And obtain institute The corresponding owner information of Floating Car for sailing out of Office Area in the second owner information set within the default third period is stated, obtains the Three owner information set;
The S5 is specially:
According to the Office Area travelling data set, extraction obtains the driving number that timestamp belongs to default second time period According to, obtain working travelling data set;
According to the Office Area travelling data set, extraction obtains the driving number that timestamp belongs to the default third period According to obtaining the travelling data set of coming off duty;
According to the working travelling data set, obtains driving into Office Area by statistical analysis and stop in the Office Area The travelling data of the Floating Car of vehicle obtains the first working travelling data set;
According to the next travelling data set, obtain sailing out of the driving number of the Floating Car of Office Area by statistical analysis According to obtaining the first next travelling data set;
Obtain that there is identical vehicle according to the first working travelling data set and the first next travelling data set, extraction The travelling data of main information;
The owner information of the extraction travelling data with identical owner information, obtains the third owner information collection It closes.
Preferably, the second time period is morning 8-9 point, and the third period is 17-18 points.
S6:It is neighborhood, and the output third vehicle to export all car owners in the first owner information set All car owners in main information set are Peer Relationships;Export all car owners in the 4th owner information set be friend or Relationship;
S7:Default neighbor information;The neighbor information includes the first owner information set;Default colleague's information, institute It includes the third owner information set to state colleague's information;Send each in the neighbor information to the first owner information set The corresponding mobile terminal of first owner information or car-mounted terminal;It sends each in colleague's information to third owner information set The corresponding mobile terminal of a third owner information or car-mounted terminal.
In conclusion the present invention provides a kind of social networks discovery method and terminal based on floating car technology, according to row Car data and preset cartographic information acquire residential quarter travelling data set and Office Area travelling data set, and pass through Statistical analysis obtains the first owner information set for neighborhood, and the third owner information set for Peer Relationships;This Invention can effectively judge the social networks between car owner by the above method according to the travelling data of Floating Car, can carry out Relevant information pushes, for example, life interesting episode and residential quarter week can be sent to the corresponding communication account of all car owners of neighborhood The businessman's pushed information enclosed, or QQ groups or wechat can be created according to the corresponding communication account of all car owners of all neighborhoods Group avoids the neighbours in city from lacking and links up, make neighbours' asking just as stranger in city so as to carry out effective communication between neighbours Topic;Meanwhile according to the communication information in the third owner information set of Peer Relationships, colleague QQ groups or wechat group is created, is promoted Effective communication and share-the-work study document between colleague etc.;Simultaneously by the above method, it can accurately be retrieved as friend Friend or the corresponding 4th owner information set of relationship, can be to the corresponding communication account of car owner in the 4th owner information set Corresponding tourist attractions information and information of having a dinner party are pushed, the utilization rate of information is improved.The present invention passes through the above method, Neng Gouyou Effect judges the social networks between car owner, has a good application prospect in terms of information push, improves the utilization of information Rate.
Example the above is only the implementation of the present invention is not intended to limit the scope of the invention, every to utilize this hair Equivalents made by bright specification and accompanying drawing content are applied directly or indirectly in other relevant technical fields, similarly It is included within the scope of the present invention.

Claims (10)

1. a kind of social networks based on floating car technology find method, which is characterized in that include the following steps:
S1:The travelling data that the car-mounted terminal of Floating Car is sent is obtained, the first travelling data sequence is obtained;The travelling data packet Include position, speed, timestamp and the owner information of Floating Car;
S2:According to the first travelling data sequence and preset cartographic information, obtains position and be located at the Floating Car in residential quarter Travelling data, obtain residential quarter travelling data set, and obtain the travelling data that position is located at Floating Car in Office Area, obtain To Office Area travelling data set;The cartographic information includes the first position information of residential quarter and the second confidence of Office Area Breath;
S3:According to residential quarter travelling data set, it is 0 corresponding car owner to obtain and preset travelling data medium velocity in first time period Information obtains the first owner information set;
S4:According to the Office Area travelling data set, statistical analysis obtain driving within default two periods Office Area and Corresponding second owner information of Floating Car stopped in the Office Area, obtains the second owner information set;And obtain described The corresponding owner information of Floating Car for sailing out of Office Area in two owner information set within the default third period, obtains third vehicle Main information set;
S5:It is neighborhood, and the output third car owner letter to export all car owners in the first owner information set All car owners in breath set are Peer Relationships.
2. a kind of social networks based on floating car technology according to claim 1 find method, which is characterized in that described Further include after S2:
According to the residential quarter travelling data set, the travelling data that timestamp belongs to weekend is acquired, obtains weekend driving Data acquisition system;
According to the element in the weekend travelling data set, the row of same time period wheelpath having the same is acquired The owner information of car data obtains the 4th owner information set;
It is friend or relative relationship to export all car owners in the 4th owner information set.
3. a kind of social networks based on floating car technology according to claim 1 find method, which is characterized in that described S3 is specially:
According to residential quarter travelling data set, statistical analysis obtains the driving number of Floating Car static in the first time period According to obtaining the first travelling data set;
According to residential quarter travelling data set, statistical analysis obtains stopping after driving into residential quarter in the first time period, and not The travelling data for sailing out of the Floating Car of residential quarter again obtains the second travelling data set;
Owner information all in the first travelling data set and the second travelling data set is obtained, first vehicle is obtained Main information set.
4. a kind of social networks based on floating car technology according to claim 1 find method, which is characterized in that described S4 is specially:
According to the Office Area travelling data set, extraction obtains the travelling data that timestamp belongs to default second time period, obtains To working travelling data set;
According to the Office Area travelling data set, extraction obtains the travelling data that timestamp belongs to the default third period, obtains To next travelling data set;
According to the working travelling data set, by the way that statistical analysis obtains driving into Office Area and stops in the Office Area The travelling data of Floating Car obtains the first working travelling data set;
According to the next travelling data set, obtains sailing out of the travelling data of the Floating Car of Office Area by statistical analysis, obtain To the first next travelling data set;
According to the first working travelling data set and the first next travelling data set, extraction obtains that there is identical car owner to believe The travelling data of breath;
The owner information of the extraction travelling data with identical owner information, obtains the third owner information set.
5. a kind of social networks based on floating car technology according to claim 1 find method, which is characterized in that described Further include after S5:
Default neighbor information;The neighbor information includes the first owner information set;
Default colleague's information, colleague's information includes the third owner information set;
Send each corresponding mobile terminal of the first owner information or vehicle in the neighbor information to the first owner information set Mounted terminal;
Send each corresponding mobile terminal of third owner information or vehicle in colleague's information to third owner information set Mounted terminal.
6. a kind of social networks based on floating car technology find terminal, including memory, processor and storage are on a memory And the computer program that can be run on a processor, which is characterized in that the processor realizes following step when executing described program Suddenly:
S1:The travelling data that the car-mounted terminal of Floating Car is sent is obtained, the first travelling data sequence is obtained;The travelling data packet Include position, speed, timestamp and the owner information of Floating Car;
S2:According to the first travelling data sequence and preset cartographic information, obtains position and be located at the Floating Car in residential quarter Travelling data, obtain residential quarter travelling data set, and obtain the travelling data that position is located at Floating Car in Office Area, obtain To Office Area travelling data set;The cartographic information includes the first position information of residential quarter and the second confidence of Office Area Breath;
S3:According to residential quarter travelling data set, it is 0 corresponding car owner to obtain and preset travelling data medium velocity in first time period Information obtains the first owner information set;
S4:According to the Office Area travelling data set, statistical analysis obtain driving within default two periods Office Area and Corresponding second owner information of Floating Car stopped in the Office Area, obtains the second owner information set;And obtain described The corresponding owner information of Floating Car for sailing out of Office Area in two owner information set within the default third period, obtains third vehicle Main information set;
S5:It is neighborhood, and the output third car owner letter to export all car owners in the first owner information set All car owners in breath set are Peer Relationships.
7. a kind of social networks based on floating car technology according to claim 6 find terminal, which is characterized in that described Further include after S2:
According to the residential quarter travelling data set, the travelling data that timestamp belongs to weekend is acquired, obtains weekend driving Data acquisition system;
According to the element in the weekend travelling data set, the row of same time period wheelpath having the same is acquired The owner information of car data obtains the 4th owner information set;
It is friend or relative relationship to export all car owners in the 4th owner information set.
8. a kind of social networks based on floating car technology according to claim 6 find terminal, which is characterized in that described S3 is specially:
According to residential quarter travelling data set, statistical analysis obtains the driving number of Floating Car static in the first time period According to obtaining the first travelling data set;
According to residential quarter travelling data set, statistical analysis obtains stopping after driving into residential quarter in the first time period, and not The travelling data for sailing out of the Floating Car of residential quarter again obtains the second travelling data set;
Owner information all in the first travelling data set and the second travelling data set is obtained, first vehicle is obtained Main information set.
9. a kind of social networks based on floating car technology according to claim 6 find terminal, which is characterized in that described S4 is specially:
According to the Office Area travelling data set, extraction obtains the travelling data that timestamp belongs to default second time period, obtains To working travelling data set;
According to the Office Area travelling data set, extraction obtains the travelling data that timestamp belongs to the default third period, obtains To next travelling data set;
According to the working travelling data set, by the way that statistical analysis obtains driving into Office Area and stops in the Office Area The travelling data of Floating Car obtains the first working travelling data set;
According to the next travelling data set, obtains sailing out of the travelling data of the Floating Car of Office Area by statistical analysis, obtain To the first next travelling data set;
According to the first working travelling data set and the first next travelling data set, extraction obtains that there is identical car owner to believe The travelling data of breath;
The owner information of the extraction travelling data with identical owner information, obtains the third owner information set.
10. a kind of social networks based on floating car technology according to claim 6 find terminal, which is characterized in that institute Stating S5 further includes later:
Default neighbor information;The neighbor information includes the first owner information set;
Default colleague's information, colleague's information includes the third owner information set;
Send each corresponding mobile terminal of the first owner information or vehicle in the neighbor information to the first owner information set Mounted terminal;
Send each corresponding mobile terminal of third owner information or vehicle in colleague's information to third owner information set Mounted terminal.
CN201711440110.XA 2017-12-27 2017-12-27 A kind of social networks discovery method and terminal based on floating car technology Pending CN108319647A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711440110.XA CN108319647A (en) 2017-12-27 2017-12-27 A kind of social networks discovery method and terminal based on floating car technology

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711440110.XA CN108319647A (en) 2017-12-27 2017-12-27 A kind of social networks discovery method and terminal based on floating car technology

Publications (1)

Publication Number Publication Date
CN108319647A true CN108319647A (en) 2018-07-24

Family

ID=62893610

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711440110.XA Pending CN108319647A (en) 2017-12-27 2017-12-27 A kind of social networks discovery method and terminal based on floating car technology

Country Status (1)

Country Link
CN (1) CN108319647A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110139231A (en) * 2019-04-09 2019-08-16 惠州市德赛西威汽车电子股份有限公司 A kind of car networking social contact method based on travelling data
CN114582120A (en) * 2022-02-11 2022-06-03 北京中交兴路信息科技有限公司 Hidden community discovery method, device, equipment and medium based on vehicle track

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070271029A1 (en) * 2003-05-12 2007-11-22 Assimakis Tzamaloukas Hierarchical floating car data network
CN101694706A (en) * 2009-09-28 2010-04-14 深圳先进技术研究院 Modeling method of characteristics of population space-time dynamic moving based on multisource data fusion
CN104636382A (en) * 2013-11-13 2015-05-20 华为技术有限公司 Social relation reasoning method and device
CN105070055A (en) * 2015-07-23 2015-11-18 合肥革绿信息科技有限公司 OD matrix estimation method based on floating car GPS
CN105788253A (en) * 2016-03-24 2016-07-20 福建工程学院 Traffic trajectory data-based parking lot discovery method and parking lot discovery system
CN105824921A (en) * 2016-03-16 2016-08-03 广州彩瞳网络技术有限公司 User social relation recognition device and method
CN106570764A (en) * 2016-11-09 2017-04-19 广州杰赛科技股份有限公司 User relationship predicting method and device
CN106776781A (en) * 2016-11-11 2017-05-31 深圳云天励飞技术有限公司 A kind of human relation network analysis method and device

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070271029A1 (en) * 2003-05-12 2007-11-22 Assimakis Tzamaloukas Hierarchical floating car data network
CN101694706A (en) * 2009-09-28 2010-04-14 深圳先进技术研究院 Modeling method of characteristics of population space-time dynamic moving based on multisource data fusion
CN104636382A (en) * 2013-11-13 2015-05-20 华为技术有限公司 Social relation reasoning method and device
CN105070055A (en) * 2015-07-23 2015-11-18 合肥革绿信息科技有限公司 OD matrix estimation method based on floating car GPS
CN105824921A (en) * 2016-03-16 2016-08-03 广州彩瞳网络技术有限公司 User social relation recognition device and method
CN105788253A (en) * 2016-03-24 2016-07-20 福建工程学院 Traffic trajectory data-based parking lot discovery method and parking lot discovery system
CN106570764A (en) * 2016-11-09 2017-04-19 广州杰赛科技股份有限公司 User relationship predicting method and device
CN106776781A (en) * 2016-11-11 2017-05-31 深圳云天励飞技术有限公司 A kind of human relation network analysis method and device

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
沈敬伟: "基于浮动车数据的车辆时空相遇关系分析", 《西南交通大学学报》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110139231A (en) * 2019-04-09 2019-08-16 惠州市德赛西威汽车电子股份有限公司 A kind of car networking social contact method based on travelling data
CN114582120A (en) * 2022-02-11 2022-06-03 北京中交兴路信息科技有限公司 Hidden community discovery method, device, equipment and medium based on vehicle track
CN114582120B (en) * 2022-02-11 2023-01-06 北京中交兴路信息科技有限公司 Hidden community discovery method, device, equipment and medium based on vehicle track

Similar Documents

Publication Publication Date Title
CN105139641B (en) A kind of vehicle dispatching method and system based on WiFi relay stations
CN105788335B (en) A kind of method and terminal of navigation
CN103680180B (en) A kind of traffic related information reminding method and system
CN110035388A (en) Determine method, computer readable storage medium and the terminal device of user area
WO2015096400A1 (en) Bus planning method using mobile communication data mining
CN104766473A (en) Traffic trip feature extraction method based on multi-mode public transport data matching
CN106557942A (en) A kind of recognition methodss of customer relationship and device
CN104134367A (en) Method for bus to remind passenger of arrival on basis of cloud computation
CN108319647A (en) A kind of social networks discovery method and terminal based on floating car technology
CN108492565A (en) Public transport control method and system based on the analysis of user's trip data
CN104134342B (en) The intellectual analysis processing system and method for taxi dispatching
US11429923B2 (en) Method and device for determining mail path information
CN103185583A (en) Vehicle position sharing method and vehicle position sharing system
US20180089241A1 (en) Context enhanced indexing
CN105792134A (en) Carpooling method and system
CN102999577A (en) Information synthesis method and terminal device
CN103118328A (en) Method, device and mobile terminal for acquiring path trajectories of mobile phone user
CN104572902B (en) A kind of method and device of information Point matching
Klimek et al. Towards a better understanding and behavior recognition of inhabitants in smart cities. A public transport case
CN110493306A (en) Information-pushing method and client, server-side, system
CN107437208A (en) Order processing method and server
Buckley et al. Ready or not, big data is coming to a city (transportation agency) near you
CN103499972A (en) Subsumption hierarchical structure-based universal robot multi-scene control method
CN101697605A (en) Self-help guide navigation terminal cluster guide system and method
CN103200540A (en) Social application system and operational method thereof

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20180724