CN101894151B - Method and device for acquiring event information - Google Patents

Method and device for acquiring event information Download PDF

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Publication number
CN101894151B
CN101894151B CN 201010218136 CN201010218136A CN101894151B CN 101894151 B CN101894151 B CN 101894151B CN 201010218136 CN201010218136 CN 201010218136 CN 201010218136 A CN201010218136 A CN 201010218136A CN 101894151 B CN101894151 B CN 101894151B
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event information
city
traffic
obtains
database
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CN101894151A (en
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张潜
李建军
胡健
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Beijing Cennavi Technologies Co Ltd
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Beijing Cennavi Technologies Co Ltd
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Priority to PCT/CN2011/073656 priority patent/WO2011160496A1/en
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/091Traffic information broadcasting
    • G08G1/093Data selection, e.g. prioritizing information, managing message queues, selecting the information to be output

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Information Transfer Between Computers (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The embodiment of the invention discloses a method and a device for acquiring traffic event information, which relates to the transportation information service field and solves the technical problem of inefficient collection of transportation event information in the prior art. The method mainly comprises the following steps: acquiring event information through at least one data source, and classifying the acquired event information by different cities; filtering out a redundant part of the event information of a corresponding city after classification based on the event information stored by cities in a database; and storing the event information with the redundant part filtered out into the database. The embodiment of the invention is mainly used in the collection of traffic event information.

Description

The acquisition methods of traffic event information and device
Technical field
The present invention relates to the traffic-information service field, relate in particular to a kind of acquisition methods and device of traffic event information.
Background technology
The Hyundai Motor industrial expansion, caused a series of traffic problems: traffic congestion, road congestion, traffic hazard take place frequent.These problems have brought inconvenience not only for people's go off daily life, have also caused enormous economic loss to society simultaneously.Current; Except the effort of making aspect road infrastructure construction and the relevant laws and regulations formulation; Various countries are being devoted to utilize advanced Computerized Information Processing Tech, electronic communication, automatic control technology, network technology and other science and technology in the world; Intelligent, comprehensive, in real time, accurately and efficiently integrated management and control are carried out in communications and transportation; Intelligent transportation system (Intelligent Transportation System, arise at the historic moment by research and development ITS).
For intelligent transportation system, real-time overall collection traffic event information is the basis of realizing intelligent transportation system each item function.In the prior art, the method for collecting traffic event information mainly is that related personnel's going manually and initiatively searched, collected, and the traffic event information of collecting is stored in the database.
But said method efficient is low, and needs lot of manpower and material resources, for the popularization of ITS brings obstruction.
Summary of the invention
Embodiments of the invention provide a kind of acquisition methods and device of traffic event information, so that improve the collection efficiency of event information.
For achieving the above object, embodiments of the invention adopt following technical scheme:
A kind of acquisition methods of event information comprises:
Obtain event information through at least one data source, and the said event information that obtains is classified by different cities;
Filter said classification back to the redundancy section in the event information of Yingcheng City according to the event information that deposits in by city classification in the database;
Deposit the said event information that filters out behind the redundancy section in said database.
A kind of deriving means of event information comprises:
Acquiring unit is used for obtaining event information through at least one data source;
Taxon is used for the said event information that obtains is classified by different cities;
Filter element is used for filtering said classification back to the redundancy section in the event information of Yingcheng City according to the event information that database deposits in by city classification;
Storage unit is used for depositing the said event information that filters out behind the redundancy section in said database.
The technical scheme that the embodiment of the invention provides has following beneficial effect: can be derived from the moving event information that gets access to from several data; And after classification, filter out redundancy section wherein; Easy to use; Reduced all the manpower and materials that expend when artificially collecting event information, improved incident information collecting efficient, for the accuracy of intelligent transportation system contributes.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art; To do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below; Obviously, the accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills; Under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the main schematic flow sheet of the acquisition methods of the embodiment of the invention 1 event information;
Fig. 2 is the schematic flow sheet of the acquisition methods of the embodiment of the invention 1 event information;
Fig. 3 is the structural representation of the deriving means of the embodiment of the invention 2 event informations.
Embodiment
To combine the accompanying drawing in the embodiment of the invention below, the technical scheme in the embodiment of the invention is carried out clear, intactly description, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills are not making the every other embodiment that is obtained under the creative work prerequisite, all belong to the scope of the present invention's protection.And, below each embodiment be possibility of the present invention, embodiment put in order and the numbering execution sequence preferred of embodiment with it irrelevant.
Embodiment 1
Present embodiment provides a kind of acquisition methods of traffic event information, can specifically be used to collect the event information of traffic aspect, and of Fig. 1, this method mainly comprises:
Step 101 is obtained event information through at least one data source, and by different cities the said event information that obtains is classified.
In the present embodiment, this at least one data source can be specially: traffic control department, the webpage that event information is provided that web crawlers searches, and manual service.
Correspondingly, step 101 can realize through following three kinds of modes:
With reference to Fig. 2, when said data source be web crawlers search the webpage of event information is provided the time;
201, the webpage of event information is provided through web crawlers search;
202, from the Word message of said webpage extraction traffic aspect;
203, the Word message that extracts is resolved to independent vocabulary;
204, according to the fuzzy matching rule said terminology match is become first event information, and the said event information that obtains is classified by different cities;
For instance, for less unnecessary data amount, guarantee data accuracy; Web crawlers is only to particular Web page, and like the traffic control webpage in each city, North China high speed webpage etc. is searched for; Manyly be used to decorate webpage or with the irrelevant code of traffic event information etc.,, like the Word message that from Beijing traffic control webpage, extracts the traffic aspect be: because all can exist in the source code of each webpage for the safety assurance during National Day so need from these source codes, extract the Word message of traffic aspect; 1 evening 9 of October point-12 point, so-and-so street does not allow to pass through etc., can this literal information analysis be become independent one by one vocabulary through Chinese automatic word-cut such as increase income; And according to terminology match such as evening, afternoon are become PM; To not allow to pass through, terminology match such as restricted driving become the fuzzy matching rule conversion that no through traffic to form first event information, and this first event information is gone into Beijing according to the city branch; Particular content can be: the safety assurance during National Day; October 1 the PM9-12 point, so-and-so street, no through traffic.
Further, because different webpages is to the record of same event information, the standard of description is different; Therefore though can occur is same event information but record, the mode of description is various, and event information is unfavorable for searching and managing like this; Therefore for event information is carried out unified management; After obtaining first event information,, can respectively first event information be changed according to unified logout form according to first transformation rule with reference among Fig. 2 205.
For example: unified logout form is: 1: city title, 2: event time 3: incident reason, 4: traffic measure, 5: place etc.First transformation rule that logout form that should be unified is formulated for Beijing traffic control webpage can be: the city title is placed on 1: after, event time is placed on 2: after, the incident reason is placed on 3: after, the traffic measure is placed on 4: after.Correspondingly,, after first event information conversion be: 1 according to the form of above-mentioned logout: Beijing, the 2:10 month 1 the PM9-12 point, 3: the safety assurance during National Day, 4: no through traffic, 5: so-and-so street etc.
With reference to 206 among Fig. 2, when said data source is traffic control department;
The traffic events file of the department of monitoring traffic control in real time issue obtains second event information according to said traffic events file, and by different cities the said event information that obtains is classified.
For instance, during the Shanghai Expo was held, traffic control department in Shanghai can issue and (comprise through bulletin; Or the mode of mail notification) the traffic events file of some outlook types has write down some event informations like SH, 1011 in the file; 0501000, JD-1, PS Expo traffic order etc.Because the most number average of these event informations is to occur with the form of code, therefore need (represent Shanghai like SH, 1011 represent the Pudong district according to the meaning of these codes; 0501000 represents whole day on May 1, and JD-1 represents driving restriction, and PS represents the remarks content) formulation respective coding rule; The traffic events file of monitoring Shanghai traffic control department issue in real time, and can the event information in the file of traffic control department issue be become second event information with corresponding conversion automatically according to this coding rule, this second event information is gone into Shanghai City according to the city branch; Particular content can be: Shanghai, Pudong District, May 1 whole day; Driving restriction, remarks: Expo traffic order.
Further; Because traffic control department is to the event information record with its inner standard; Describe, therefore be not easy to manage with other event informations, therefore also need be after obtaining second event information; With reference among Fig. 2 205, respectively second event information is changed according to unified logout form according to second transformation rule.
For instance, unified logout form is: 1: the city title, 2: event time 3: the incident reason, 4: the traffic measure can also comprise 5: place etc.Second transformation rule that logout form that should be unified is formulated can be: be placed on 1 after city name code SH corresponding conversion becomes Shanghai: after,
Event time code 0501000 corresponding conversion becomes May 1 to be placed on 2 after the whole day: after,
After becoming motor vehicle no through traffic, incident reason-code JD-1 corresponding conversion is placed on 3: after,
After becoming the Expo traffic order, traffic measure code PS corresponding conversion is placed on 4: after,
Location of incident code 1011 corresponding conversion are placed on 5 after becoming the Pudong district: back etc.
Correspondingly,, after second event information conversion be: 1 according to the form of above-mentioned logout: Shanghai, the 2:5 month 1 whole day, 3: the Expo traffic order, 4: no through traffic for motor vehicle, 5: Pudong district etc.
Ask for an interview among Fig. 2 207, when said data source is manual service, receive artificial the 3rd event information, and the said event information that obtains is classified by different cities according to unified logout form typing.For instance, can pass through professional's broadcast listening, answer hotline; Browse relevant traffic website and collect event informations such as traffic hazard road trimming, and according to unified logout form, as 1: the city title; 2: event time 3: the incident reason; 4: the traffic measure, can also comprise that 5 places etc. are entered into system as the 3rd event information, the 3rd event information is artificially imported according to unified logout form because be; Therefore need not worrying record, the mode different problems of description.
Step 102 is filtered said classification back to the redundancy section in the event information of Yingcheng City according to the event information that deposits in by city classification in the database.
Event information in the database also carries out classification and storage according to different cities; Therefore; After the event information that in step 101, gets access to is classified according to different cities; Need once contrast with the event information under the city with depositing in the database, repeat, or the event information of discrepancy is arranged to each other so that filter out wherein.
Step 102 specifically can realize through following one or more modes:
Ask for an interview among Fig. 2 208, in the event information in each city, be as the criterion, filter out in the event information in city described in the said database and repeat or conflicting event information with the 3rd event information with the 3rd event information from the manual entry in said city;
For instance, in the event information in Shanghai, be as the criterion, repeat if having among the event information B in Shanghai with A in the database, or the place of discrepancy is arranged, then can get rid of this B with the 3rd event information A from Shanghai people worker's input.
In the event information in each city, second event information that obtains with the traffic control department according to said city is as the criterion, and filters out in the event information in city described in the said database to repeat or conflicting event information with second event information.
For instance; In the event information in Shanghai, be as the criterion with the second event information C from the traffic control department in Shanghai, repeat if having with C among the event information D in Shanghai in the database; Or the place of discrepancy arranged; Event time like C is a whole day on May 1, and the event time of D is PM10-12 on May 1, then can get rid of D.
Or; In the event information in each city; If the 3rd event information of webpage obtains from said city first event information and this city manual entry or from the repetition of second event information or the contradiction of traffic control department then filters out said first event information;
For instance, first event information Y that obtains from webpage and the 3rd event information S of manual entry, the second event information E of traffic control department (or from) has and comes in and goes out or repeat, then can get rid of Y.
Step 103 deposits the said event information that filters out behind the redundancy section in said database.
Example in the subsequent steps 102, filtered points B, D, Y, with A, C, S (or E) is deposited in the database, with reference among Fig. 2 209.
The method that present embodiment provides can be through traffic control department, and a plurality of data sources such as webpage and manual service obtain event information, and passes through this event information that gets access to by city classification; Unified record format is filtered redundant event information, the process in the database of restoring; Can obtain in time; In a large number, collect event information automatically, improve the technique effect of the collection efficiency of event information.
Embodiment 2
Present embodiment provides a kind of deriving means of traffic event information, can be used in the foregoing description 1, and is as shown in Figure 3, comprising: acquiring unit 31, taxon 32, filter element 33, storage unit 34.
Acquiring unit 31 is used for obtaining event information through at least one data source; Taxon 32 is used for the said event information that obtains is classified by different cities; Filter element 33 is used for filtering said classification back to the redundancy section in the event information of Yingcheng City according to the event information that database deposits in by city classification; Storage unit 34 is used for depositing the said event information that filters out behind the redundancy section in said database.
Wherein, acquiring unit 31 comprises: climb delivery piece 311, monitoring acquisition module 312, typing module 313.
Climb delivery piece 311; Be used for providing the webpage of event information through the web crawlers search; Extract the Word message of traffic aspect from said webpage, and the Word message that extracts is resolved to independent vocabulary, according to the fuzzy matching rule said terminology match is become first event information again;
Monitoring acquisition module 312 is used for monitoring the traffic events file that traffic control department issues in real time, and obtains second event information according to said traffic events file.
Typing module 313 receives artificial the 3rd event information according to unified logout form typing.
In addition, in the present embodiment, also can comprise converting unit 35.
This converting unit 35; Be used for through taxon 32 sorted; According to first transformation rule said first event information of climbing delivery piece 311 is changed according to unified logout form; And sorted through taxon 32, according to second transformation rule second event information of said monitoring acquisition module 312 is changed according to unified logout form.
And filter element 33 in the present embodiment comprises: first filtering module, 331, the second filtering modules 332.
First filtering module 331; Be used for event information in each city; If first event information that obtains from the webpage in said city and the repetition of the 3rd event information or the contradiction of the manual entry in said city; Then filter out said first event information, perhaps if the repetition of second event information or the contradiction of first event information that obtains from the webpage in said city and the pipe department in said city then filter out said first event information;
Second filtering module 332; Be used for event information in each city; The 3rd event information with from the manual entry in said city is as the criterion; Filter out in the event information in city described in the said database and repeat or conflicting event information with the 3rd event information, second event information that perhaps obtains with the traffic control department according to said city is as the criterion, and filters out in the event information in city described in the said database to repeat or conflicting event information with second event information.
The device that present embodiment provides can be derived from the moving event information that gets access to through at least one data; The collection efficiency of the event information that improves; Help the realization and the popularization of ITS system each item function; And the event information that can collect according to unified logout format conversion has been strengthened the managerial ability to event information.
Description through above embodiment; The those skilled in the art can be well understood to the present invention and can realize by the mode that software adds essential general hardware platform; Can certainly pass through hardware, but the former is better embodiment under a lot of situation.Based on such understanding; The part that technical scheme of the present invention contributes to prior art in essence in other words can be come out with the embodied of software product; This computer software product is stored in the storage medium that can read; Like the floppy disk of computing machine, hard disk or CD etc. comprise that some instructions are used so that an equipment is carried out the described method of each embodiment of the present invention.
The above; Be merely embodiment of the present invention, but protection scope of the present invention is not limited thereto, any technician who is familiar with the present technique field is in the technical scope that the present invention discloses; Can expect easily changing or replacement, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion by said protection domain with claim.

Claims (8)

1. the acquisition methods of a traffic event information is characterized in that, comprising:
Obtain event information through at least one data source; And the said event information that obtains is classified by different cities; Wherein, When said data source be web crawlers search the webpage of event information is provided the time, saidly obtain event information through at least one data source and comprise: through the web crawlers search webpage of event information is provided, and extracts the Word message of traffic aspect from said webpage; The Word message that extracts is resolved to independent vocabulary; According to the fuzzy matching rule said terminology match is become first event information; Perhaps
When said data source is traffic control department, saidly obtains event information through at least one data source and comprise: monitor the traffic events file of traffic control department issue in real time, and obtain second event information according to said traffic events file;
Filter said classification back to the redundancy section in the event information of Yingcheng City according to the event information that deposits in by city classification in the database;
Deposit the said event information that filters out behind the redundancy section in said database.
2. method according to claim 1 is characterized in that, after the said event information that obtains was classified by different cities, this method also comprised:
Respectively first and second event informations are changed according to unified logout form according to first and second transformation rules.
3. method according to claim 2 is characterized in that, when said data source is manual service, saidly obtains event information through at least one data source and also comprises:
Receive artificial the 3rd event information according to unified logout form typing.
4. method according to claim 3 is characterized in that, saidly filters said classification back according to the event information that deposits in by city classification in the database redundancy section in the event information of Yingcheng City one of is specifically comprised as follows at least:
In the event information in each city, if the repetition of the 3rd event information or the contradiction of first event information that obtains from the webpage in said city and the manual entry in said city then filter out said first event information;
In the event information in each city, if the repetition of second event information or the contradiction of first event information that obtains from the webpage in said city and the traffic control department in said city then filter out said first event information;
In the event information in each city, be as the criterion with the 3rd event information from the manual entry in said city, filter out in the event information in city described in the said database and repeat or conflicting event information with the 3rd event information;
In the event information in each city, second event information that obtains with the traffic control department according to said city is as the criterion, and filters out in the event information in city described in the said database to repeat or conflicting event information with second event information.
5. the deriving means of a traffic event information is characterized in that, comprising:
Acquiring unit is used for obtaining event information through at least one data source, wherein; Said acquiring unit comprises climbs delivery piece and monitoring acquisition module; Wherein, saidly climb the webpage that the delivery piece is used for providing through web crawlers search event information, extract the Word message of traffic aspect from said webpage; And the Word message that extracts resolved to independent vocabulary, according to the fuzzy matching rule said terminology match is become first event information again; Said monitoring acquisition module is used for monitoring in real time the traffic events file of traffic control department issue, and obtains second event information according to said traffic events file;
Taxon is used for the said event information that obtains is classified by different cities;
Filter element is used for filtering said classification back to the redundancy section in the event information of Yingcheng City according to the event information that database deposits in by city classification;
Storage unit is used for depositing the said event information that filters out behind the redundancy section in said database.
6. device according to claim 5 is characterized in that, this device also comprises:
Converting unit; Be used for said first event information of climbing the delivery piece being changed according to unified logout form, second event information of said monitoring acquisition module changed according to unified logout form according to second transformation rule according to first transformation rule.
7. device according to claim 6 is characterized in that, said acquiring unit also comprises:
The typing module receives artificial the 3rd event information according to unified logout form typing.
8. device according to claim 7 is characterized in that, said filter element comprises:
First filtering module; Be used for event information in each city; If first event information that obtains from the webpage in said city and the repetition of the 3rd event information or the contradiction of the manual entry in said city; Then filter out said first event information, perhaps if the repetition of second event information or the contradiction of first event information that obtains from the webpage in said city and the traffic control department in said city then filter out said first event information;
Second filtering module; Be used for event information in each city; The 3rd event information with from the manual entry in said city is as the criterion; Filter out in the event information in city described in the said database and repeat or conflicting event information with the 3rd event information, second event information that perhaps obtains with the traffic control department according to said city is as the criterion, and filters out in the event information in city described in the said database to repeat or conflicting event information with second event information.
CN 201010218136 2010-06-24 2010-06-24 Method and device for acquiring event information Active CN101894151B (en)

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CN102122435B (en) * 2011-03-18 2014-09-17 北京世纪高通科技有限公司 Method and device for positioning traffic event information
CN103236163B (en) * 2013-04-28 2015-01-07 北京航空航天大学 Traffic jam avoiding prompting system based on collective intelligence network
CN105702072A (en) * 2016-04-07 2016-06-22 潍坊科技学院 IoT-based traffic and transportation system
WO2018137170A1 (en) * 2017-01-25 2018-08-02 深圳前海达闼云端智能科技有限公司 User information recording method and apparatus, and electronic device
CN108733754A (en) * 2018-04-10 2018-11-02 珠海市魅族科技有限公司 A kind of event carding method and device
CN109658689B (en) * 2018-12-04 2021-01-05 沈阳世纪高通科技有限公司 Traffic information processing method and device
CN112182212B (en) * 2020-09-27 2024-06-07 广州汽车集团股份有限公司 Processing method and system for network vehicle collision data

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7835858B2 (en) * 2002-11-22 2010-11-16 Traffic.Com, Inc. Method of creating a virtual traffic network
CN100573506C (en) * 2008-06-25 2009-12-23 中国科学院地理科学与资源研究所 A kind of space-time fusion method of natural language expressing dynamic traffic information
CN101567126A (en) * 2009-05-31 2009-10-28 上海宝康电子控制工程有限公司 Urban road traffic information detecting and issuing system

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